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49 50 51 <div id="mask"></div><div class="wrapper"><header class="desktop" id="header-desktop"> 52 <div class="header-wrapper"> 53 <div class="header-title"> 54 <a href="/" title="Davide Evangelista Personal website"></a> 55 </div> 56 <div class="menu"> 57 <div class="menu-inner"><a class="menu-item" href="/"> home </a><a class="menu-item" href="/about/"> about </a><a class="menu-item" href="/courses/"> courses </a><a class="menu-item active" href="/publications/"> publications </a><span class="menu-item delimiter"></span><span class="menu-item search" id="search-desktop"> 58 <input type="text" placeholder="Search titles or contents..." id="search-input-desktop"> 59 <a href="javascript:void(0);" class="search-button search-toggle" id="search-toggle-desktop" title="Search"> 60 <i class="fas fa-search fa-fw" aria-hidden="true"></i> 61 </a> 62 <a href="javascript:void(0);" class="search-button search-clear" id="search-clear-desktop" title="Clear"> 63 <i class="fas fa-times-circle fa-fw" aria-hidden="true"></i> 64 </a> 65 <span class="search-button search-loading" id="search-loading-desktop"> 66 <i class="fas fa-spinner fa-fw fa-spin" aria-hidden="true"></i> 67 </span> 68 </span><a href="javascript:void(0);" class="menu-item theme-switch" title="Switch Theme"> 69 <i class="fas fa-adjust fa-fw" aria-hidden="true"></i> 70 </a></div> 71 </div> 72 </div> 73</header><header class="mobile" id="header-mobile"> 74 <div class="header-container"> 75 <div class="header-wrapper"> 76 <div class="header-title"> 77 <a href="/" title="Davide Evangelista Personal website"></a> 78 </div> 79 <div class="menu-toggle" id="menu-toggle-mobile"> 80 <span></span><span></span><span></span> 81 </div> 82 </div> 83 <div class="menu" id="menu-mobile"><div class="search-wrapper"> 84 <div class="search mobile" id="search-mobile"> 85 <input type="text" placeholder="Search titles or contents..." id="search-input-mobile"> 86 <a href="javascript:void(0);" class="search-button search-toggle" id="search-toggle-mobile" title="Search"> 87 <i class="fas fa-search fa-fw" aria-hidden="true"></i> 88 </a> 89 <a href="javascript:void(0);" class="search-button search-clear" id="search-clear-mobile" title="Clear"> 90 <i class="fas fa-times-circle fa-fw" aria-hidden="true"></i> 91 </a> 92 <span class="search-button search-loading" id="search-loading-mobile"> 93 <i class="fas fa-spinner fa-fw fa-spin" aria-hidden="true"></i> 94 </span> 95 </div> 96 <a href="javascript:void(0);" class="search-cancel" id="search-cancel-mobile"> 97 Cancel 98 </a> 99 </div><a class="menu-item" href="/" title="">home</a><a class="menu-item" href="/about/" title="">about</a><a class="menu-item" href="/courses/" title="">courses</a><a class="menu-item" href="/publications/" title="">publications</a><a href="javascript:void(0);" class="menu-item theme-switch" title="Switch Theme"> 100 <i class="fas fa-adjust fa-fw" aria-hidden="true"></i> 101 </a></div> 102 </div> 103</header><div class="search-dropdown desktop"> 104 <div id="search-dropdown-desktop"></div> 105 </div> 106 <div class="search-dropdown mobile"> 107 <div id="search-dropdown-mobile"></div> 108 </div><main class="main"> 109 <div class="container"><div class="page single special"><h1 class="single-title animate__animated animate__pulse animate__faster">Publications</h1><div class="content" id="content"><h2 id="2025">2025</h2> 110<ul> 111<li> 112<p><em>D. Evangelista, E. Morotti, D. Bianchi, S.C. Serra, P. Luo, G. Valbusa</em>, <strong>LIP-CAR: a learned inverse problem approach for medical imaging with contrast agent reduction</strong>, MICCAI2025 Conference, 2025;</p> 113</li> 114<li> 115<p><em>D. Bianchi, D. Evangelista, S. Aleotti, M. Donatelli, E. Loli Piccolomini</em>, <strong>A data-dependent regularization method based on the graph Laplacian</strong>, SIAM Journal on Scientific Computing, 2025, <a href="https://doi.org/10.1137/23M162750X;" target="_blank" rel="noopener noreffer ">https://doi.org/10.1137/23M162750X;</a></p> 116</li> 117<li> 118<p><em>E. Loli Piccolomini, D. Evangelista, E. Morotti</em>, <strong>Deep Guess acceleration for explainable image reconstruction in sparse-view CT</strong> Computational Medical Imaging and Graphics, 2025, <a href="https://doi.org/10.1016/j.compmedimag.2025.102530;" target="_blank" rel="noopener noreffer ">https://doi.org/10.1016/j.compmedimag.2025.102530;</a></p> 119</li> 120<li> 121<p><em>S. Marro, D. Evangelista, X.A. Huang, E. La Malfa, M. Lombardi, M.J. Wooldridge</em>, <strong>Language Models Are Implicitly Continuous</strong>, Thirteenth International Conference on Learning Representations (ICLR2025), 2025, <a href="https://openreview.net/forum?id=SMK0f8JoK;" target="_blank" rel="noopener noreffer ">
121https://openreview.net/forum?id=SMK0f8JoK;</a></p> 122</li> 123<li> 124<p><em>D. Evangelista, E. Morotti, J. Nagy, E. Loli Piccolomini</em>, <strong>To be or not to be stable, that is the question - stability and accuracy trade-off in neural networks for inverse problems</strong>, SIAM Journal on Scientific Computing (SISC), 2025, <a href="https://doi.org/10.1137/23M1586872;" target="_blank" rel="noopener noreffer ">https://doi.org/10.1137/23M1586872;</a></p> 125</li> 126<li> 127<p><em>G.V. Spinelli, D. Evangelista, L. Hu, F. Zama</em>, <strong>Neural network-based inversion of NMR dispersion profiles for enhanced analysis of food systems</strong>, Neural Computing and Applications, 2025, <a href="https://doi.org/10.1007/s00521-024-10859-y;" target="_blank" rel="noopener noreffer ">https://doi.org/10.1007/s00521-024-10859-y;</a></p> 128</li> 129</ul> 130<h2 id="2024">2024</h2> 131<ul> 132<li> 133<p><em>N. Dal Seno, D. Evangelista, E. Loli Piccolomini, M. Berti</em>, <strong>Comparative analysis of conventional and machine learning techniques for rainfall threshold evaluation under complex geological conditions</strong>, Landslides, 2024, <a href="https://doi.org/10.1007/s10346-024-02367-w;" target="_blank" rel="noopener noreffer ">https://doi.org/10.1007/s10346-024-02367-w;</a></p> 134</li> 135<li> 136<p><em>E. Morotti, F. Merizzi, D. Evangelista, P. Cascarano</em>, <strong>Inpainting with style: forcing style coherence to image inpainting with deep image prior</strong>, Frontiers in Computer Science 6, 2025, <a href="https://doi.org/10.3389/fcomp.2024.1478233;" target="_blank" rel="noopener noreffer ">https://doi.org/10.3389/fcomp.2024.1478233;</a></p> 137</li> 138<li> 139<p><em>D. Evangelista</em>, <strong>Regularization meets GreenAI: a new framework for image reconstruction in life sciences applications</strong>, PhD Thesis, 2024;</p> 140</li> 141</ul> 142<h2 id="2023">2023</h2> 143<ul> 144<li> 145<p><em>A. Asperti, D. Evangelista, S. Marro, F. Merizzi</em>, <strong>Image embedding for denoising generative models</strong>, Artificial Intelligence Review, 2023, <a href="https://doi.org/10.1007/s10462-023-10504-5;" target="_blank" rel="noopener noreffer ">https://doi.org/10.1007/s10462-023-10504-5;</a></p> 146</li> 147<li> 148<p><em>D. Evangelista, E. Morotti, J. Nagy, E. Loli Piccolomini</em>, <strong>Ambiguity in solving imaging inverse problems with deep learning based operators</strong>, Journal of Imaging, 2023, <a href="https://doi.org/10.3390/jimaging9070133;" target="_blank" rel="noopener noreffer ">https://doi.org/10.3390/jimaging9070133;</a></p> 149</li> 150<li> 151<p><em>E. Morotti, D. Evangelista, E. Loli Piccolomini</em>, <strong>Increasing noise robustness of deep learning-based image processing with model-based approaches</strong>, Numerical Computations: Theory and Algorithms (NUMTA), 2023, <a href="https://doi.org/10.1007/978-3-031-81241-5_30;" target="_blank" rel="noopener noreffer ">https://doi.org/10.1007/978-3-031-81241-5_30;</a></p> 152</li> 153<li> 154<p><em>D. Bianchi, M. Donatelli, D. Evangelista, W. Li, E. Loli Piccolomini</em>, <strong>Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet</strong>, International Conference on Scale Space and Variational Methods in Computer Vision, 2023, <a href="http://doi.org/10.1007/978-3-031-31975-4_14;" target="_blank" rel="noopener noreffer ">http://doi.org/10.1007/978-3-031-31975-4_14;</a></p> 155</li> 156</ul> 157<h2 id="2022">2022</h2> 158<ul> 159<li><em>E. Morotti, D. Evangelista, E. Loli Piccolomini</em>, <strong>RISING a new framework for few-view tomographic image reconstruction with deep learning</strong>, Computerized Medical Imaging and Graphics, 2022, <a href="https://doi.org/10.1016/j.compmedimag.2022.102156;" target="_blank" rel="noopener noreffer ">https://doi.org/10.1016/j.compmedimag.2022.102156;</a></li> 160</ul> 161<h2 id="2021">2021</h2> 162<ul> 163<li> 164<p><em>E. Morotti, D. Evangelista, E. Loli Piccolomini</em>, <strong>A green prospective for learned post-processing in sparse-view tomographic reconstruction</strong>, Journal of Imaging, 2021, <a href="https://doi.org/10.3390/jimaging7080139;" target="_blank" rel="noopener noreffer ">https://doi.org/10.3390/jimaging7080139;</a></p> 165</li> 166<li> 167<p><em>A. Asperti, D. Evangelista, M. Marzolla</em>, <strong>Dissecting FLOPs along input dimensions for GreenAI cost estimations</strong>, International Conference on Machine Learning, Optimization, and Data Science, 2021, <a href="https://doi.org/10.1007/978-3-030-95470-3_7;" target="_blank" rel="noopener noreffer ">https://doi.org/10.1007/978-3-030-95470-3_7;</a></p> 168</li> 169<li> 170<p><em>A. Asperti, D. Evangelista, E. Loli Piccolomini</em>, <strong>A survey on Variational Autoencoders from a GreenAI perspective</strong>, SN Computer Science, 1st March 2021, <a href="https://www.doi.org/10.1007/s42979-021-00702-9;" target="_blank" rel="noopener noreffer ">www.doi.org/10.1007/s42979-021-00702-9;</a></p> 171</li> 172</ul> 173<h2 id="peer-review">Peer-review…</h2> 174<ul> 175<li> 176<p><em>F. Merizzi, D. Evangelista, H. Loukos</em>, <strong>Controlling ensemble variance in diffusion models: An application for reanalyses downscaling</strong>, submitted to Neural Computing and Applications (NCAA), 2025, <a href="https://arxiv.org/abs/2501.14822;" target="_blank" rel="noopener noreffer ">https://arxiv.org/abs/2501.14822;</a></p> 177</li> 178<li> 179<p><em>E. Morotti, D. Evangelista, A. Sebastiani, E. Loli Piccolomini</em>, <strong>Adaptive Weighted Total Variation boosted by learning techniques in few-view tomographic imaging</strong>, submitted to Inverse Problems, 2025;</p> 180</li> 181</ul> 182</div></div></div> 183 </main><footer class="footer"> 184 <div class="footer-container"><div class="footer-line" itemscope itemtype="http://schema.org/CreativeWork"><i class="far fa-copyright fa-fw" aria-hidden="true"></i><span itemprop="copyrightYear">2025 - 2026</span><span class="author" itemprop="copyrightHolder"> <a href="/" target="_blank">Davide Evangelista</a></span> | <span class="license"><a rel="license external nofollow noopener noreffer" href="https://creativecommons.org/licenses/by-nc/4.0/" target="_blank">CC BY-NC 4.0</a></span></div> 185 </div> 186 </footer></div> 187 188 <div id="fixed-buttons"><a href="#" id="back-to-top" class="fixed-button" title="Back to Top"> 189 <i class="fas fa-arrow-up fa-fw" aria-hidden="true"></i> 190 </a> 191 </div> 192 193 <div id="fixed-buttons-hidden"><a href="#" id="view-comments" class="fixed-button" title="View Comments"> 194 <i class="fas fa-comment fa-fw" aria-hidden="true"></i> 195 </a> 196 </div><link rel="stylesheet" href="/lib/katex/katex.min.css">
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