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90                                Ishaan Gupta <small></small>
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103                            University of Illinois Urbana-Champaign<br/>
104                            
105                            
106                            B.S. Computer Science (2024-2028)<br/>
107                            
108                            
109                            B.A. Mathematics (2024-2028)<br/>
110                            
111                        </div>
112                        <div class="text-profile-bio mt-3" >
113                            <p>
114  I'm an undergraduate double majoring in CS and Math at UIUC. I currently conduct research under Professor <a href="https://croy.web.engr.illinois.edu/" target="_blank" rel="noopener noreferrer">Romit Roy Choudhury</a>, focusing on the application and underlying theory of diffusion models. I aim to narrow the gap between formal foundations of generative AI and its empirical achievements, as well as leverage theoretical insights to develop better methods. Beyond diffusion models, my interests in real analysis and probability theory further complement and inform my research.
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124                        <a class="pr-3" href="mailto:[email protected]">
125                            <i class="fas fa-at"></i> <span class="email-text">ishaang5(at)illinois.edu</span>
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166        <i class="fas fa-star"></i> Research &amp; Publications
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171<div class="d-none d-md-block">
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173        <div class="col-md-3 col-xl-2 mb-md-0 p-md-3"><img data-src="/assets/images/covers/CoDiffusion_branching.png" alt="CoDiffusion: Saving Diffusion Compute for Many Images" class="lazy w-100 rounded-sm" src="/assets/images/empty_300x200.png"></div>
174        <div class="col-md-9 col-xl-10 p-3 pl-md-0">
175            <h5 class="mt-0 mb-1 font-weight-normal">CoDiffusion: Saving Diffusion Compute for Many Images</h5>
176            
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178                <span data-semantic-scholar-id=""></span>
179            </p>
180            
181            <p class="mt-0 mb-0 small"></p>
182            
183            <p class="mt-0 mb-0 small text-muted">Generation of many images with diffusion models is very computationally expensive. We reduce this cost by taking advantage of previous image generation trajectories in generation of new images.</p>
184            
185            <p class="small pb-0 mb-0 lh-125 text-muted abstract-links">
186                
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198                <h5 class="mt-0 mb-1 font-weight-normal">CoDiffusion: Saving Diffusion Compute for Many Images</h5>
199                
200                <p class="mt-0 mb-1 small"><span class="badge badge-pill badge-publication badge-colored" style="background-color: green;">In Progress</span>
201                    <span data-semantic-scholar-id=""></span>
202                </p>
203                
204                <p class="mt-0 mb-0 small"></p>
205                
206                <p class="mt-0 mb-0 small text-muted">Generation of many images with diffusion models is very computationally expensive. We reduce this cost by taking advantage of previous image generation trajectories in generation of new images.</p>
207                
208                <p class="small pb-0 mb-0 lh-125 text-muted abstract-links">
209                    
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232                <div><a target="_blank" href="https://rrc-uiuc.notion.site/get-gen-ai-summer26">Deep Generative Models</a></div>
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234                <div class="ml-auto mt-auto text-muted no-break"><i>Summer 2026</i></div>
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