Poster

Thu 14:00

Hiding Images in Deep Probabilistic Models
Haoyu Chen · Linqi Song · Zhenxing Qian · Xinpeng Zhang · Kede Ma

Workshop

Probabilistic Mixture Modeling For End-Member Extraction in Hyperspectral Data
Oliver Hoidn · Aashwin Mishra · Apurva Mehta

Workshop

Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Namrata Anand · Tudor Achim

Poster

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
Min Zhao · Fan Bao · Chongxuan LI · Jun Zhu

Poster

Wed 14:00

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
Yichong Leng · Zehua Chen · Junliang Guo · Haohe Liu · Jiawei Chen · Xu Tan · Danilo Mandic · Lei He · Xiangyang Li · Tao Qin · sheng zhao · Tie-Yan Liu

Poster

Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Yan Li · Xinjiang Lu · Yaqing Wang · Dejing Dou

Poster

Wed 14:00

Hedging as Reward Augmentation in Probabilistic Graphical Models
Debarun Bhattacharjya · Radu Marinescu

Poster

Tue 14:00

Gaussian Copula Embeddings
Chien Lu · Jaakko Peltonen

Workshop

Sat 7:15

Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Namrata Anand · Tudor Achim

Affinity Workshop

Estimating Uncertainty in Safety-Critical Deep Learning Models
Oishi Deb

Poster

Wed 14:00

Learning Tractable Probabilistic Models from Inconsistent Local Estimates
Shasha Jin · Vasundhara Komaragiri · Tahrima Rahman · Vibhav Gogate

Workshop

Diffusion Models for Graphs Benefit From Discrete State Spaces
Kilian Haefeli · Karolis Martinkus · Nathanael Perraudin · Roger Wattenhofer