Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomicsby Xingzhi Sun, Charles Xu, João F.…
Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Modelsby Sahil Kuchlous, Marvin Li,…
HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs…
Neural Message Passing Induced by Energy-Constrained Diffusionby Qitian Wu, David Wipf, Junchi YanFirst submitted to…
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Controlby Carles Domingo-Enrich,…
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modelingby Vivek Oommen, Aniruddha…
Think Twice Before You Act: Improving Inverse Problem Solving With MCMCby Yaxuan Zhu, Zehao Dou,…
DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transferby Runjia Li, Junlin Han, Luke Melas-Kyriazi,…
LoRID: Low-Rank Iterative Diffusion for Adversarial Purificationby Geigh Zollicoffer, Minh Vu, Ben Nebgen, Juan Castorena,…
Click2Mask: Local Editing with Dynamic Mask Generationby Omer Regev, Omri Avrahami, Dani LischinskiFirst submitted to…