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785 Results
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Workshop
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Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand Md Musfiqur Rahman · Matt Jordan · Murat Kocaoglu |
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Poster
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Wed 2:30 |
Towards Theoretical Understandings of Self-Consuming Generative Models Shi Fu · Sen Zhang · Yingjie Wang · Xinmei Tian · Dacheng Tao |
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Poster
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Thu 4:30 |
Why do Variational Autoencoders Really Promote Disentanglement? Pratik Bhowal · Achint Soni · Sirisha Rambhatla |
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Poster
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Thu 4:30 |
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation Yuyang Wang · Ahmed Elhag · Navdeep Jaitly · Joshua M Susskind · Miguel Angel Bautista Martin |
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Poster
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Tue 4:30 |
Gibbs Sampling of Continuous Potentials on a Quantum Computer Arsalan Motamedi · Pooya Ronagh |
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Workshop
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Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks T. Konstantin Rusch · Nathan Kirk · Michael Bronstein · Christiane Lemieux · Daniela Rus |
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Poster
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Wed 4:30 |
Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation Kartik Sharma · Srijan Kumar · Rakshit Trivedi |
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Poster
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Wed 2:30 |
On the Role of Edge Dependency in Graph Generative Models Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis |
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Poster
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Wed 2:30 |
How Learning by Reconstruction Produces Uninformative Features For Perception Randall Balestriero · Yann LeCun |
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Poster
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Wed 2:30 |
Graph Generation with Diffusion Mixture Jaehyeong Jo · Dongki Kim · Sung Ju Hwang |
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Poster
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Thu 2:30 |
On the Trajectory Regularity of ODE-based Diffusion Sampling Defang Chen · Zhenyu Zhou · Can Wang · Chunhua Shen · Siwei Lyu |
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Poster
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Tue 2:30 |
Neural Diffusion Models Grigory Bartosh · Dmitry Vetrov · Christian Andersson Naesseth |