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32<title>Selected Publications | Pascal Notin</title>
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81<a class=nav-link href=https://github.com/pascalnotin target=_blank rel=noopener><span>Code&nbsp;<i class="fab fa-github"></i></span></a>
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98<h1>Selected Publications</h1>
99</div>
100<div class=universal-wrapper>
101<div class=row>
102<div class=col-lg-12>
103<div class=article-style><p><a href="https://scholar.google.com/citations?user=soxv0s0AAAAJ&hl=en" target=_blank rel=noopener>Google scholar</a> | <a href=https://www.semanticscholar.org/author/Pascal-Notin/1825748945 target=_blank rel=noopener>Semantic scholar</a> | <a href=https://orcid.org/0000-0002-1877-8983 target=_blank rel=noopener>ORCID</a></p>
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115Preprint
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1202025
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1222024
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1242023
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132<div id=container-publications>
133<div class="grid-sizer col-lg-12 isotope-item pubtype-3 year-2025">
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135<div style=margin-right:20px;min-width:150px;width:150px;display:flex;align-items:center;justify-content:center>
136<a href=/publication/rnagym/>
137<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
138<img src=/publication/rnagym/featured_hu77b024dcf09961dc7501c8f631ce1553_186949_150x100_fit_lanczos_3.png srcset="/publication/rnagym/featured_hu77b024dcf09961dc7501c8f631ce1553_186949_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="RNAGym: Large-scale Benchmarks for RNA Fitness and Structure Prediction">
139</div>
140</a>
141</div>
142<div class=media-body>
143<h3 class="article-title mb-0 mt-0">
144<a href=/publication/rnagym/>RNAGym: Large-scale Benchmarks for RNA Fitness and Structure Prediction</a>
145</h3>
146<div class=article-metadata>
147<span>
148Rohit Arora</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
149Murphy Angelo</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
150Christian Andrew Choe</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
151Courtney A. Shearer</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
152Aaron W. Kollasch</span>, <span>
153Fiona Qu</span>, <span>
154Ruben Weitzman</span>, <span>
155Artem Gazizov</span>, <span>
156Sarah Gurev</span>, <span>
157Erik Xie</span>, <span>
158Debora Marks</span>, <span class=author-highlighted>
159Pascal Notin</span>
160</div>
161<div class=article-style>
162<b>Preprint.</b> Large-scale benchmarks to assess models for RNA fitness & structure prediction.
163</div>
164<div class="btn-links mt-2">
165<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.bi
165orxiv.org/content/10.1101/2025.06.16.660049v1.full.pdf target=_blank rel=noopener>
166PDF
167</a>
168<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/rnagym/cite.bib>
169Cite
170</a>
171<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/MarksLab-DasLab/RNAGym target=_blank rel=noopener>
172Code
173</a>
174<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.biorxiv.org/content/10.1101/2025.06.16.660049v1 target=_blank rel=noopener>
175bioRxiv</a>
176</div>
177</div>
178</div>
179<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
180</div>
181<div class="grid-sizer col-lg-12 isotope-item pubtype-2 year-2025">
182<div class="media stream-item view-compact">
183<div style=margin-right:20px;min-width:150px;width:150px;display:flex;align-items:center;justify-content:center>
184<a href=/publication/adk/>
185<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
186<img src=/publication/adk/featured_hua35911ab655f8c22a241a08c0bd042b6_1875424_150x100_fit_lanczos_3.png srcset="/publication/adk/featured_hua35911ab655f8c22a241a08c0bd042b6_1875424_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="Evolutionary-Scale Enzymology Enables Biochemical Constant Prediction Across a Multi-Peaked Catalytic Landscape">
187</div>
188</a>
189</div>
190<div class=media-body>
191<h3 class="article-title mb-0 mt-0">
192<a href=/publication/adk/>Evolutionary-Scale Enzymology Enables Biochemical Constant Prediction Across a Multi-Peaked Catalytic Landscape</a>
193</h3>
194<div class=article-metadata>
195<span>
196Duncan F. Muir</span>, <span>
197Garrison P. R. Asper</span>, <span class=author-highlighted>
198Pascal Notin</span>, <span>
199Jacob A. Posner</span>, <span>
200Debora S. Marks</span>, <span>
201Michael J. Keiser</span>, <span>
202Margaux M. Pinney</span>
203</div>
204<div class=article-style>
205<b>Science, 2025.</b> A microfluidic platform to measure catalytic constants for hundreds of Adenylate Kinase variants, enabling mapping of the sequence-catalysis landscape and development of superior predictive models.
206</div>
207<div class="btn-links mt-2">
208<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.biorxiv.org/content/10.1101/2024.10.23.619915v1.full.pdf target=_blank rel=noopener>
209PDF
210</a>
211<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/adk/cite.bib>
212Cite
213</a>
214<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/pinneylab/adk_evolutionary_landscape target=_blank rel=noopener>
215Code
216</a>
217<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.biorxiv.org/content/10.1101/2024.10.23.619915v1 target=_blank rel=noopener>
218arXiv</a>
219<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.science.org/doi/10.1126/science.adu1058 target=_blank rel=noopener>
220Science</a>
221</div>
222</div>
223</div>
224<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
225</div>
226<div class="grid-sizer col-lg-12 isotope-item pubtype-2 year-2025">
227<div class="media stream-item view-compact">
228<div style=margin-right:20px;min-width:150px;width:150px;display:flex;align-items:center;justify-content:center>
229<a href=/publication/protriever/>
230<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
231<img src=/publication/protriever/featured_huca0447e53a6531cb3122374f682b0808_811736_150x100_fit_lanczos_3.png srcset="/publication/protriever/featured_huca0447e53a6531cb3122374f682b0808_811736_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction">
232</div>
233</a>
234</div>
235<div class=media-body>
236<h3 class="article-title mb-0 mt-0">
237<a href=/publication/protriever/>Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction</a>
238</h3>
239<div class=article-metadata>
240<span>
241Ruben Weitzman</span>, <span>
242Peter Mørch Groth</span>, <span>
243Lood van Niekerk</span>, <span>
244Aoi Otani</span>, <span>
245Yarin Gal</span>, <span>
246Debora Marks</span>, <span class=author-highlighted>
247Pascal Notin</span>
248</div>
249<div class=article-style>
250<b>ICML, 2025.</b>
250 an end-to-end differentiable framework that learns to retrieve relevant protein homologs while simultaneously training for downstream tasks, achieving state-of-the-art fitness prediction performance while being orders of magnitude faster than traditional MSA-based approaches.
251</div>
252<div class="btn-links mt-2">
253<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.arxiv.org/pdf/2506.08954 target=_blank rel=noopener>
254PDF
255</a>
256<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/protriever/cite.bib>
257Cite
258</a>
259<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/OATML-Markslab/Protriever target=_blank rel=noopener>
260Code
261</a>
262<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://proceedings.mlr.press/v267/weitzman25a.html target=_blank rel=noopener>
263Proceedings</a>
264<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.arxiv.org/abs/2506.08954 target=_blank rel=noopener>
265arXiv</a>
266</div>
267</div>
268</div>
269<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
270</div>
271<div class="grid-sizer col-lg-12 isotope-item pubtype-3 year-2025">
272<div class="media stream-item view-compact">
273<div style=margin-right:20px;min-width:150px;width:150px;display:flex;align-items:center;justify-content:center>
274<a href=/publication/cooperativity/>
275<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
276<img src=/publication/cooperativity/featured_hu41833a76f9e6ab80c076a0b1a8876629_1017523_150x100_fit_lanczos_3.png srcset="/publication/cooperativity/featured_hu41833a76f9e6ab80c076a0b1a8876629_1017523_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="Large-scale discovery, analysis, and design of protein energy landscapes">
277</div>
278</a>
279</div>
280<div class=media-body>
281<h3 class="article-title mb-0 mt-0">
282<a href=/publication/cooperativity/>Large-scale discovery, analysis, and design of protein energy landscapes</a>
283</h3>
284<div class=article-metadata>
285<span>
286Állan J. R. Ferrari</span>, <span>
287Sugyan M. Dixit</span>, <span>
288Jane Thibeault</span>, <span>
289Mario Garcia</span>, <span>
290Scott Houliston</span>, <span>
291Robert W. Ludwig</span>, <span class=author-highlighted>
292Pascal Notin</span>, <span>
293Claire M. Phoumyvong</span>, <span>
294Cydney M. Martell</span>, <span>
295Michelle D. Jung</span>, <span>
296Kotaro Tsuboyama</span>, <span>
297Lauren Carter</span>, <span>
298Cheryl H. Arrowsmith</span>, <span>
299Miklos Guttman</span>, <span>
300Gabriel J. Rocklin</span>
301</div>
302<div class=article-style>
303<b>Preprint.</b> A multiplexed experimental approach to analyze conformational fluctuations across thousands of protein domains, revealing hidden variations that affect protein cooperativity and function.
304</div>
305<div class="btn-links mt-2">
306<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.biorxiv.org/content/10.1101/2025.03.20.644235v1.full.pdf target=_blank rel=noopener>
307PDF
308</a>
309<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/cooperativity/cite.bib>
310Cite
311</a>
312<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.biorxiv.org/content/10.1101/2025.03.20.644235v1.abstract target=_blank rel=noopener>
313arXiv</a>
314</div>
315</div>
316</div>
317<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
318</div>
319<div class="grid-sizer col-lg-12 isotope-item pubtype-1 year-2024">
320<div class="media stream-item view-compact">
321<div style=margin-right:20px;min-width:150px;width:150px;display:flex;align-items:center;justify-content:center>
322<a href=/publication/s3f/>
323<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
324<img src=/publication/s3f/featured_hue261e40539947bc5520eb2a05de526c9_1810967_150x100_fit_lanczos_3.png srcset="/publication/s3f/featured_hue261e40539947bc5520eb2a05de526c9_1810967_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="Multi-Scale Representation Learning for Protein Fitness Prediction">
325</div>
326</a>
327</div>
328<div class=media-body>
329<h3 class="article-title mb-0 mt-0">
330<a href=/publication/s3f/>Multi-Scale Representation Learning for Protein Fitness Prediction</a>
331</h3>
332<div class=article-metadata>
333<span>
334Zuobai Zhang</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span class=author-highlighted>
335Pascal Notin</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
336Yining Huang</span>, <span>
337Aurélie Lozano</span>, <span>
338Vijil Chenthamarakshan</span>, <span>
339Debora Marks</span>, <span>
340Payel Das</span>, <span>
341Jian Tang</span>
342</div>
343<div class=article-style>
344<b>NeurIPS, 2024.</b> A multimodal framework that integrates protein sequence, structure, and surface topology features to achieve state-of-the-art fitness prediction.
345</div>
346<div class="btn-links mt-2">
347<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://proceedings.neurips.cc/paper_files/paper/2024/file/b7d795e655c1463d7299688d489e8ef4-Paper-Conference.pdf target=_blank rel=noopener>
348PDF
349</a>
350<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/s3f/cite.bib>
351Cite
352</a>
353<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/DeepGraphLearning/S3F target=_blank rel=noopener>
354Code
355</a>
356<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/abs/2412.01108 target=_blank rel=noopener>
357arXiv</a>
358<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://proceedings.neurips.cc/paper_files/paper/2024/hash/b7d795e655c1463d7299688d489e8ef4-Abstract-Conference.html target=_blank rel=noopener>
359Proceedings</a>
360</div>
361</div>
362</div>
363<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
364</div>
365<div class="grid-sizer col-lg-12 isotope-item pubtype-3 year-2024">
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367<div style=margin-right:20px;min-width:150px;width:150px;display:flex;align-items:center;justify-content:center>
368<a href=/publication/lol-eve/>
369<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
370<img src=/publication/lol-eve/featured_hu1046f339ecaaacb944e926b5f50341d6_403975_150x100_fit_lanczos_3.png srcset="/publication/lol-eve/featured_hu1046f339ecaaacb944e926b5f50341d6_403975_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="Predicting Promoter Variant Effe
370cts from Evolutionary Sequences">
371</div>
372</a>
373</div>
374<div class=media-body>
375<h3 class="article-title mb-0 mt-0">
376<a href=/publication/lol-eve/>Predicting Promoter Variant Effects from Evolutionary Sequences</a>
377</h3>
378<div class=article-metadata>
379<span>
380Courtney A. Shearer</span>, <span>
381Felix Teufel</span>, <span>
382Rose Orenbuch</span>, <span>
383Daniel Ritter</span>, <span>
384Aviv Spinner</span>, <span>
385Erik Xie</span>, <span>
386Jonathan Frazer</span>, <span>
387Mafalda Dias</span>, <span class=author-highlighted>
388Pascal Notin</span>, <span>
389Debora S. Marks</span>
390</div>
391<div class=article-style>
392<b>Preprint.</b> A conditional autoregressive transformer model trained on 14.6 million mammalian promoter sequences that achieves state-of-the-art performance in predicting the effects of indels in human promoter regions.
393</div>
394<div class="btn-links mt-2">
395<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.biorxiv.org/content/10.1101/2024.11.11.623015v1.full.pdf target=_blank rel=noopener>
396PDF
397</a>
398<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/lol-eve/cite.bib>
399Cite
400</a>
401<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.biorxiv.org/content/10.1101/2024.11.11.623015v1 target=_blank rel=noopener>
402arXiv</a>
403</div>
404</div>
405</div>
406<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
407</div>
408<div class="grid-sizer col-lg-12 isotope-item pubtype-2 year-2024">
409<div class="media stream-item view-compact">
410<div style=margin-right:20px;min-width:150px;width:150px;display:flex;align-items:center;justify-content:center>
411<a href=/publication/ml_functional_protein_design/>
412<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
413<img src=/publication/ml_functional_protein_design/featured_huc72c9303025b017e68a00e09e1293e2f_303989_150x100_fit_lanczos_3.png srcset="/publication/ml_functional_protein_design/featured_huc72c9303025b017e68a00e09e1293e2f_303989_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="Machine Learning for Functional Protein Design">
414</div>
415</a>
416</div>
417<div class=media-body>
418<h3 class="article-title mb-0 mt-0">
419<a href=/publication/ml_functional_protein_design/>Machine Learning for Functional Protein Design</a>
420</h3>
421<div class=article-metadata>
422<span class=author-highlighted>
423Pascal Notin</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
424Nathan Rollins</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
425Yarin Gal</span>, <span>
426Chris Sander</span>, <span>
427Debora Marks</span>
428</div>
429<div class=article-style>
430<b>Nature Biotech, 2024.</b> A unifying framework that classifies models on the basis of their use of three core data modalities: sequences, structures and functional labels is introduced to make sense of the exploding diversity of machine learning approaches.
431</div>
432<div class="btn-links mt-2">
433<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/ml_functional_protein_design/cite.bib>
434Cite
435</a>
436<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.nature.com/articles/s41587-024-02127-0 target=_blank rel=noopener>
437Paper</a>
438<a class="btn btn-outline-primary btn-page-header btn-sm" href="https://drive.google.com/file/d/1epxpuAzPk_ZNQTkJZjPdzFAkUWkrQN0A/view?usp=sharing" target=_blank rel=noopener>
439NBT Cover</a>
440<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.nature.com/nbt/volumes/42/issues/2 target=_blank rel=noopener>
441NBT volume</a>
442</div>
443</div>
444</div>
445<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
446</div>
447<div class="grid-sizer col-lg-12 isotope-item pubtype-1 year-2023">
448<div class="media stream-item view-compact">
449<div style=margin-right:20px;min-width:150px;width:150px;display:flex;align-items:center;justify-content:center>
450<a href=/publication/proteingym/>
451<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
452<img src=/publication/proteingym/featured_hucca3c694c30cd94be68629813db931a3_282909_150x100_fit_lanczos_3.png srcset="/publication/proteingym/featured_hucca3c694c30cd94be68629813db931a3_282909_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design">
453</div>
454</a>
455</div>
456<div class=media-body>
457<h3 class="article-title mb-0 mt-0">
458<a href=/publication/proteingym/>ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design</a>
459</h3>
460<div class=article-metadata>
461<span class=author-highlighted>
462Pascal Notin</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
463Aaron W. Kollasch</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
464Daniel Ritter</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
465Lood van Niekerk</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
466Steffanie Paul</span>, <span>
467Hansen Spinner</span>, <span>
468Nathan Rollins</span>, <span>
469Ada Y. Shaw</span>, <span>
470Ruben Weitzman</span>, <span>
471Jonathan Frazer</span>, <span>
472Mafalda Dias</span>, <span>
473Dinko Franceschi</span>, <span>
474Rose Orenbuch</span>, <span>
475Debora S. Marks</span>, <span>
476Yarin Gal</span>
477</div>
478<div class=article-style>
479<b>NeurIPS, 2023.</b> Large-scale benchmarks to assess models for protein fitness prediction and design.
480</div>
481<div class="btn-links mt-2">
482<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://papers.nips.cc/paper_files/paper/2023/file/cac723e5ff29f65e3fcbb0739ae91bee-Paper-Datasets_and_Benchmarks.pdf target=_blank rel=noopener>
483PDF
484</a>
485<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/proteingym/cite.bib>
486Cite
487</a>
488<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/OATML-Markslab/ProteinGym target=_blank rel=noopener>
489Code
490</a>
491<a class="btn btn-outline-primary btn-page-header btn-sm" href="https://drive.google.com/file/d/1BvESvInK9s1MznRhKgrhG0qb8z4ST3D-/view?usp=sharing" target=_blank rel=noopener>
492Poster
493</a>
494<a class="btn btn-outline-primary btn-page-header btn-sm" href="https://drive.google.com/file/d/1e2ARr9VO0aOIwghzE2bh-RELPB7PMUx0/view?usp=sharing" target=_blank rel=noopener>
495Slides
496</a>
497<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://papers.nips.cc/paper_files/paper/2023/hash/cac723e5ff29f65e3fcbb0739ae91bee-Abstract-Datasets_and_Benchmarks.html target=_blank rel=noopener>
498Proceedings</a>
499<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.bi
499orxiv.org/content/10.1101/2023.12.07.570727v1 target=_blank rel=noopener>
500bioRxiv</a>
501<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://proteingym.org/ target=_blank rel=noopener>
502Website</a>
503</div>
504</div>
505</div>
506<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
507</div>
508<div class="grid-sizer col-lg-12 isotope-item pubtype-1 year-2023">
509<div class="media stream-item view-compact">
510<div style=margin-right:20px;min-width:150px;width:150px;display:flex;align-items:center;justify-content:center>
511<a href=/publication/proteinnpt/>
512<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
513<img src=/publication/proteinnpt/featured_hud99eb5f3dec7b4ce2ff5aa370f179af4_488213_150x100_fit_lanczos_3.png srcset="/publication/proteinnpt/featured_hud99eb5f3dec7b4ce2ff5aa370f179af4_488213_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers">
514</div>
515</a>
516</div>
517<div class=media-body>
518<h3 class="article-title mb-0 mt-0">
519<a href=/publication/proteinnpt/>ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers</a>
520</h3>
521<div class=article-metadata>
522<span class=author-highlighted>
523Pascal Notin</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
524Ruben Weitzman</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
525Debora S. Marks</span>, <span>
526Yarin Gal</span>
527</div>
528<div class=article-style>
529<b>NeurIPS, 2023.</b> A conditional semi-supervised pseudo-generative model for fitness prediction and design.
530</div>
531<div class="btn-links mt-2">
532<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://papers.nips.cc/paper_files/paper/2023/file/6a4d5d85f7a52f062d23d98d544a5578-Paper-Conference.pdf target=_blank rel=noopener>
533PDF
534</a>
535<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/proteinnpt/cite.bib>
536Cite
537</a>
538<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/OATML-Markslab/ProteinNPT target=_blank rel=noopener>
539Code
540</a>
541<a class="btn btn-outline-primary btn-page-header btn-sm" href="https://drive.google.com/file/d/1yST8xIoLz7ID_FdCFx0IJ8cxtWUciI3f/view?usp=sharing" target=_blank rel=noopener>
542Poster
543</a>
544<a class="btn btn-outline-primary btn-page-header btn-sm" href="https://drive.google.com/file/d/1t7rCfgvzdmThFel9mv9OZkPH4OOjsWJD/view?usp=sharing" target=_blank rel=noopener>
545Slides
546</a>
547<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://papers.nips.cc/paper_files/paper/2023/hash/6a4d5d85f7a52f062d23d98d544a5578-Abstract-Conference.html target=_blank rel=noopener>
548Proceedings</a>
549<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.biorxiv.org/content/10.1101/2023.12.06.570473v1 target=_blank rel=noopener>
550bioRxiv</a>
551</div>
552</div>
553</div>
554<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
555</div>
556<div class="grid-sizer col-lg-12 isotope-item pubtype-2 year-2023">
557<div class="media stream-item view-compact">
558<div style=margin-right:20px;min-width:150px;width:150px;display:flex;align-items:center;justify-content:center>
559<a href=/publication/viral_escape_journal/>
560<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
561<img src=/publication/viral_escape_journal/featured_huf18684ea3b32272ec0f64d529ab4180c_807486_150x100_fit_lanczos_3.png srcset="/publication/viral_escape_journal/featured_huf18684ea3b32272ec0f64d529ab4180c_807486_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="Learning from Prepandemic Data to Forecast Viral Escape">
562</div>
563</a>
564</div>
565<div class=media-body>
566<h3 class="article-title mb-0 mt-0">
567<a href=/publication/viral_escape_journal/>Learning from Prepandemic Data to Forecast Viral Escape</a>
568</h3>
569<div class=article-metadata>
570<span>
571Nikki Thadani</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
572Sarah Gurev</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span class=author-highlighted>
573Pascal Notin</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
574Noor Youssef</span>, <span>
575Nathan Rollins</span>, <span>
576Daniel Ritter</span>, <span>
577Chris Sander</span>, <span>
578Yarin Gal</span>, <span>
579Debora Marks</span>
580</div>
581<div class=article-style>
582<b>Nature, 2023.</b> A computational framework to predict viral escape from pre-pandemic information only (evolutionary data and 3D structure).
583</div>
584<div class="btn-links mt-2">
585<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/viral_escape_journal/cite.bib>
586Cite
587</a>
588<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/OATML-Markslab/EVEscape target=_blank rel=noopener>
589Code
590</a>
591<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.nature.com/articles/s41586-023-06617-0 target=_blank rel=noopener>
592Nature</a>
593<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.bi
593orxiv.org/content/10.1101/2022.07.21.501023v1 target=_blank rel=noopener>
594bioRxiv</a>
595<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.evescape.org/ target=_blank rel=noopener>
596Website</a>
597</div>
598</div>
599</div>
600<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
601</div>
602<div class="grid-sizer col-lg-12 isotope-item pubtype-1 year-2023">
603<div class="media stream-item view-compact">
604<div style=margin-right:20px;min-width:150px;width:150px;display:flex;align-items:center;justify-content:center>
605<a href=/publication/discobax/>
606<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
607<img src=/publication/discobax/featured_hua7e528efbe4b1b482c892ba950f0ab52_436637_150x100_fit_lanczos_3.png srcset="/publication/discobax/featured_hua7e528efbe4b1b482c892ba950f0ab52_436637_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design">
608</div>
609</a>
610</div>
611<div class=media-body>
612<h3 class="article-title mb-0 mt-0">
613<a href=/publication/discobax/>DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design</a>
614</h3>
615<div class=article-metadata>
616<span>
617Clare Lyle</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
618Arash Mehrjou</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span class=author-highlighted>
619Pascal Notin</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
620Andrew Jesson</span>, <span>
621Stefan Bauer</span>, <span>
622Yarin Gal</span>, <span>
623Patrick Schwab</span>
624</div>
625<div class=article-style>
626<b>ICML, 2023.</b> A sample-efficient method for discovering optimal sets that are both diverse and optimize the function of interest.
627</div>
628<div class="btn-links mt-2">
629<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/discobax/cite.bib>
630Cite
631</a>
632<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/amehrjou/discobax target=_blank rel=noopener>
633Code
634</a>
635<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/abs/2312.04064 target=_blank rel=noopener>
636arXiv</a>
637<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://proceedings.mlr.press/v202/lyle23a.html target=_blank rel=noopener>
638Proceedings</a>
639<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.gsk.ai/blogs/discobax-discovery-of-optimal-intervention-sets-in-genomic-experiment-design/ target=_blank rel=noopener>
640Blog</a>
641</div>
642</div>
643</div>
644<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
645</div>
646<div class="grid-sizer col-lg-12 isotope-item pubtype-3 year-2022">
647<div class="media stream-item view-compact">
648<div style=margin-right:20px;min-width:150px;width:150px;display:flex;align-items:center;justify-content:center>
649<a href=/publication/trancepteve/>
650<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
651<img src=/publication/trancepteve/featured_hu7c0b16f2dd3d217b88ed5d8c00b18a6a_891600_150x100_fit_lanczos_3.png srcset="/publication/trancepteve/featured_hu7c0b16f2dd3d217b88ed5d8c00b18a6a_891600_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="TranceptEVE: Combining Family-specific and Family-agnostic Models of Protein Sequences for Improved Fitness Prediction">
652</div>
653</a>
654</div>
655<div class=media-body>
656<h3 class="article-title mb-0 mt-0">
657<a href=/publication/trancepteve/>TranceptEVE: Combining Family-specific and Family-agnostic Models of Protein Sequences for Improved Fitness Prediction</a>
658</h3>
659<div class=article-metadata>
660<span class=author-highlighted>
661Pascal Notin</span>, <span>
662Lood van Niekerk</span>, <span>
663Aaron W Kollasch</span>, <span>
664Daniel Ritter</span>, <span>
665Yarin Gal</span>, <span>
666Debora S. Marks</span>
667</div>
668<div class=article-style>
669<b>NeurIPS, LMRL, 2022.</b> A hybrid family-specific and family-agnostic model to achieve SOTA performance on protein fitness prediction and human variant annotation.
670</div>
671<div class="btn-links mt-2">
672<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/trancepteve/cite.bib>
673Cite
674</a>
675<a class="btn btn-outline-primary btn-page-header btn-sm" href="https://drive.google.com/file/d/12Xh_kWXz8i-kP1qpfuKOxoTmSra6VRf9/view?usp=sharing" target=_blank rel=noopener>
676Slides
677</a>
678<a class="btn btn-outline-primary btn-page-header btn-sm" href="https://www.youtube.com/watch?v=m0QVNWcRi8Y" target=_blank rel=noopener>
679Video
680</a>
681<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.biorxiv.org/content/10.1101/2022.12.07.519495v2 target=_blank rel=noopener>
682bioRxiv</a>
683</div>
684</div>
685</div>
686<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
687</div>
688<div class="grid-sizer col-lg-12 isotope-item pubtype-1 year-2022">
689<div class="media stream-item view-compact">
690<div style=margin-right:20px;min-width:150px;width:150px;display:flex;align-items:center;justify-content:center>
691<a href=/publication/tranception/>
692<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
693<img src=/publication/tranception/featured_hu77345be8db48aee35ad7fe2b4a6f449c_628059_150x100_fit_lanczos_3.png srcset="/publication/tranception/featured_hu77345be8db48aee35ad7fe2b4a6f449c_628059_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval">
694</div>
695</a>
696</div>
697<div class=media-body>
698<h3 class="article-title mb-0 mt-0">
699<a href=/publication/tranception/>Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval</a>
700</h3>
701<div class=article-metadata>
702<span class=author-highlighted>
703Pascal Notin</span>, <span>
704Mafalda Dias</span>, <span>
705Jonathan Frazer</span>, <span>
706Javier Marchena-Hurtado</span>, <span>
707Aidan N. Gomez</span>, <span>
708Debora S. Marks</span>, <span>
709Yarin Gal</span>
710</div>
711<div class=article-style>
712<b>ICML, 2022.</b> A suite of autoregressive transformers with biological priors, augmented with inference-time retrieval, to achieve SOTA performance on protein fitness prediction.
713</div>
714<div class="btn-links mt-2">
715<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://proceedings.mlr.press/v162/notin22a/notin22a.pdf target=_blank rel=noopener>
716PDF
717</a>
718<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/tranception/cite.bib>
719Cite
720</a>
721<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/OATML-Markslab/Tranception target=_blank rel=noopener>
722Code
723</a>
724<a class="btn btn-outline-primary btn-page-header btn-sm" href="https://drive.google.com/file/d/1G7psWPM21kVPsZhR-9wlg10HM4jJvNaI/view?usp=sharing" target=_blank rel=noopener>
725Poster
726</a>
727<a class="btn btn-outline-primary btn-page-header btn-sm" href="https://drive.google.com/file/d/16zB2gAZjpYFM2KKhcb4fZFpZXenHuPwY/view?usp=sharing" target=_blank rel=noopener>
728Slides
729</a>
730<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://slideslive.com/38983471 target=_blank rel=noopener>
731Video
732</a>
733<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/abs/2205.13760 target=_blank rel=noopener>
734arXiv</a>
735<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://proceedings.mlr.press/v162/notin22a.html target=_blank rel=noopener>
736Proceedings</a>
737<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://huggingface.co/OATML-Markslab/Tranception_Large target=_blank rel=noopener>
738HF Hub</a>
739<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.proteingym.org/ target=_blank rel=noopener>
740ProteinGym</a>
741<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://huggingface.co/spaces/PascalNotin/Tranception_design target=_blank rel=noopener>
742Design app (HF)</a>
743<a class="btn btn-outline-primary btn-page-header btn-sm" href="https://colab.research.google.com/drive/12ni4U1Na9VWwnwdpGzYHCkNC7sud9SLy?usp=sharing" target=_blank rel=noopener>
744Design app (Colab)</a>
745</div>
746</div>
747</div>
748<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
749</div>
750<div class="grid-sizer col-lg-12 isotope-item pubtype-3 year-2022">
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753<a href=/publication/rita/>
754<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
755<img src=/publication/rita/featured_hub6bab710b396b38cf7010a029c541554_57648_150x100_fit_q100_lanczos.jpeg srcset="/publication/rita/featured_hub6bab710b396b38cf7010a029c541554_57648_300x200_fit_q100_lanczos.jpeg 2x" width=150 height=100 alt="RITA: a Study on Scaling Up Generative Protein Sequence Models">
756</div>
757</a>
758</div>
759<div class=media-body>
760<h3 class="article-title mb-0 mt-0">
761<a href=/publication/rita/>RITA: a Study on Scaling Up Generative Protein Sequence Models</a>
762</h3>
763<div class=article-metadata>
764<span>
765Daniel Hesslow</span>, <span>
766Niccoló Zanichelli</span>, <span class=author-highlighted>
767Pascal Notin</span>, <span>
768Iacopo Poli</span>, <span>
769Debora Marks</span>
770</div>
771<div class=article-style>
772<b>ICML, WCB, 2022.</b> The first paper investigating scaling laws in protein language modeling.
773</div>
774<div class="btn-links mt-2">
775<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/pdf/2205.05789.pdf target=_blank rel=noopener>
776PDF
777</a>
778<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/rita/cite.bib>
779Cite
780</a>
781<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/lightonai/RITA target=_blank rel=noopener>
782Code
783</a>
784<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/abs/2205.05789 target=_blank rel=noopener>
785arXiv</a>
786<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://icml-compbio.github.io/ target=_blank rel=noopener>
787Workshop</a>
788</div>
789</div>
790</div>
791<hr style=margin-top:.7rem;margin-bottom:.7rem;width:100%>
792</div>
793<div class="grid-sizer col-lg-12 isotope-item pubtype-2 year-2021">
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796<a href=/publication/eve/>
797<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
798<img src=/publication/eve/featured_hu46d7d37e64de569412c2a83bf7b27b11_209333_150x100_fit_lanczos_3.png srcset="/publication/eve/featured_hu46d7d37e64de569412c2a83bf7b27b11_209333_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="Disease Variant Prediction with Deep Generative Models of Evolutionary Data">
799</div>
800</a>
801</div>
802<div class=media-body>
803<h3 class="article-title mb-0 mt-0">
804<a href=/publication/eve/>Disease Variant Prediction with Deep Generative Models of Evolutionary Data</a>
805</h3>
806<div class=article-metadata>
807<span>
808Jonathan Frazer</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span class=author-highlighted>
809Pascal Notin</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
810Mafalda Dias</span><i class="author-notes fas fa-info-circle" data-toggle=tooltip title="Equal contribution"></i>, <span>
811Aidan Gomez</span>, <span>
812Joseph Min</span>, <span>
813Kelly Brock</span>, <span>
814Yarin Gal</span>, <span>
815Debora Marks</span>
816</div>
817<div class=article-style>
818<b>Nature, 2021.</b> Deep Generative Models (Bayesian VAEs) of evolutionary sequences to predict the effects of missense mutations in human proteins.
819</div>
820<div class="btn-links mt-2">
821<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/eve/cite.bib>
822Cite
823</a>
824<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://github.com/OATML-Markslab/EVE target=_blank rel=noopener>
825Code
826</a>
827<a class="btn btn-outline-primary btn-page-header btn-sm" href="https://www.youtube.com/watch?v=ZFzhFMl30oE" target=_blank rel=noopener>
828Video
829</a>
830<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.nature.com/articles/s41586-021-04043-8 target=_blank rel=noopener>
831Nature</a>
832<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.biorxiv.org/content/10.1101/2020.12.21.423785v1 target=_blank rel=noopener>
833bioRxiv</a>
834<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.nature.com/articles/s41587-021-01187-w target=_blank rel=noopener>
835NBT review</a>
836<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://hms.harvard.edu/news/all-about-eve target=_blank rel=noopener>
837Press (HMS)</a>
838<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.thecrimson.com/article/2021/10/29/eve-artificial-intelligence-diagnosis-tool/ target=_blank rel=noopener>
839Press (Crimson)</a>
840<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.genengnews.com/news/ai-tool-eve-accurately-predicts-disease-relevance-of-human-genetic-variants/ target=_blank rel=noopener>
841Press (GEN)</a>
842<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://evemodel.org/ target=_blank rel=noopener>
843Website</a>
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853<div style=width:150px;height:100px;overflow:hidden;border-radius:4px>
854<img src=/publication/genedisco/featured_hubb883e983d12d2157e0964b8e4788135_199041_150x100_fit_lanczos_3.png srcset="/publication/genedisco/featured_hubb883e983d12d2157e0964b8e4788135_199041_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="GeneDisco: A Benchmark for Experimental Design in Drug Discovery">
855</div>
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858<div class=media-body>
859<h3 class="article-title mb-0 mt-0">
860<a href=/publication/genedisco/>GeneDisco: A Benchmark for Experimental Design in Drug Discovery</a>
861</h3>
862<div class=article-metadata>
863<span>
864Arash Mehrjou</span>, <span>
865Ashkan Soleymani</span>, <span>
866Andrew Jesson</span>, <span class=author-highlighted>
867Pascal Notin</span>, <span>
868Yarin Gal</span>, <span>
869Stefan Bauer</span>, <span>
870Patrick Schwab</span>
871</div>
872<div class=article-style>
873<b>ICLR, 2022.</b> A benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.
874</div>
875<div class="btn-links mt-2">
876<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/pdf/2110.11875.pdf target=_blank rel=noopener>
877PDF
878</a>
879<a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/genedisco/cite.bib>
880Cite
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883arXiv</a>
884<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.gsk.ai/genedisco-challenge/ target=_blank rel=noopener>
885Challenge</a>
886</div>
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888</div>
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890</div>
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896<img src=/publication/uncertainty_guided_search/featured_hud06eae374232507f1b372ae2b9979de1_358285_150x100_fit_lanczos_3.png srcset="/publication/uncertainty_guided_search/featured_hud06eae374232507f1b372ae2b9979de1_358285_300x200_fit_lanczos_3.png 2x" width=150 height=100 alt="Improving Black-box Optimization in VAE Latent Space Using Decoder Uncertainty">
897</div>
898</a>
899</div>
900<div class=media-body>
901<h3 class="article-title mb-0 mt-0">
902<a href=/publication/uncertainty_guided_search/>Improving Black-box Optimization in VAE Latent Space Using Decoder Uncertainty</a>
903</h3>
904<div class=article-metadata>
905<span class=author-highlighted>
906Pascal Notin</span>, <span>
907José Miguel Hernández-Lobato</span>, <span>
908Yarin Gal</span>
909</div>
910<div class=article-style>
911<b>NeurIPS, 2021.</b> A framework that uses the epistemic uncertainty of the decoder of a VAE to guide the optimization of properties of high-dimensional structured objects (e.g., molecules) in latent space.
912</div>
913<div class="btn-links mt-2">
914<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/pdf/2107.00096.pdf target=_blank rel=noopener>
915PDF
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921Code
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924Slides
925</a>
926<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/abs/2107.00096 target=_blank rel=noopener>
927arXiv</a>
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929Video</a>
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931Poster</a>
932<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://papers.nips.cc/paper/2021/hash/06fe1c234519f6812fc4c1baae25d6af-Abstract.html target=_blank rel=noopener>
933Proceedings</a>
934</div>
935</div>
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945</div>
946</a>
947</div>
948<div class=media-body>
949<h3 class="article-title mb-0 mt-0">
950<a href=/publication/sliceout/>Improving Compute Efficacy Frontiers with SliceOut</a>
951</h3>
952<div class=article-metadata>
953<span class=author-highlighted>
954Pascal Notin</span>, <span>
955Aidan N. Gomez</span>, <span>
956Joanna Yoo</span>, <span>
957Yarin Gal</span>
958</div>
959<div class=article-style>
960<b>Preprint.</b> A memory-efficient dropout-inspired scheme to train large neural networks faster with no loss in accuracy.
961</div>
962<div class="btn-links mt-2">
963<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://arxiv.org/pdf/2007.10909.pdf target=_blank rel=noopener>
964PDF
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967Cite
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970arXiv</a>
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