|
Workshop
|
Fri 14:30
|
Probabilistic Global Robustness Verification of Arbitrary Supervised Machine Learning Models
Max-Lion Schumacher · Marco Huber
|
|
|
Workshop
|
|
FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation
|
|
|
Workshop
|
|
Constrained Sampling of Discrete Geometric Manifolds using Denoising Diffusion Probabilistic Models
Justin Diamond · Markus Lill
|
|
|
Workshop
|
Sat 12:35
|
Shared Stochastic Gaussian process Decoders: A Probabilistic Generative model for Quasar Spectra
Vidhi Ramesh · Anna-Christina Eilers
|
|
|
Workshop
|
|
Collapsed Inference for Bayesian Deep Learning
Zhe Zeng · Guy Van den Broeck
|
|
|
Workshop
|
|
FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation
Dhruv Pai · Andres Carranza · Rylan Schaeffer · Arnuv Tandon · Sanmi Koyejo
|
|
|
Workshop
|
|
Diffusion Models for Probabilistic Deconvolution of Galaxy Images
Zhiwei Xue · Yuhang Li · Yash Patel · Jeffrey Regier
|
|
|
Workshop
|
|
Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models
Nicolò Botteghi · Federico Califano · University Twente · Christoph Brune
|
|
|
Poster
|
Wed 14:00
|
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
Alexander Lin · Bahareh Tolooshams · Yves Atchade · Demba Ba
|
|
|
Workshop
|
|
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs
Alexander Lew · Tan Zhi-Xuan · Gabriel Grand · Vikash Mansinghka
|
|
|
Workshop
|
Fri 15:15
|
Inferring the Goals of Communicating Agents from Actions and Instructions
Lance Ying · Tan Zhi-Xuan · Vikash Mansinghka · Josh Tenenbaum
|
|
|
Workshop
|
Fri 12:00
|
Structured Probabilistic Inference and Generative Modeling
Dinghuai Zhang · Yuanqi Du · Chenlin Meng · Shawn Tan · Yingzhen Li · Max Welling · Yoshua Bengio
|
|
