Probabilistic Modeling

Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations ICML 2023 Semi-Implicit Variational Inference via Score Matching ICLR 2023 Sentiment as an Ordinal Latent Variable EACL 2023 Sequence Learning Using Equilibrium Propagation IJCAI 2023 Set-membership Belief State-based Reinforcement Learning for POMDPs ICML 2023 Sharp Bounds for Generalized Causal Sensitivity Analysis NeurIPS 2023 Softened Symbol Grounding for Neuro-symbolic Systems ICLR 2023 Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models NeurIPS 2023 Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification Interspeech 2023 Squared Neural Families: A New Class of Tractable Density Models NeurIPS 2023 Streaming Factor Trajectory Learning for Temporal Tensor Decomposition NeurIPS 2023 Survival Permanental Processes for Survival Analysis with Time-Varying Covariates NeurIPS 2023 Switching Autoregressive Low-rank Tensor Models NeurIPS 2023 SynJax: Structured Probability Distributions for JAX EMNLP 2023 Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system NeurIPS 2023 Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation CVPR 2023 Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis ICML 2023 The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types AAAI 2023 The Hardness of Reasoning about Probabilities and Causality IJCAI 2023 The neural dynamics of word recognition and integration EMNLP 2023 The probability flow ODE is provably fast NeurIPS 2023 The Unreasonable Effectiveness of Deep Evidential Regression AAAI 2023 Thin and deep Gaussian processes NeurIPS 2023 Topological Hidden Markov Models JMLR 2023 Topological Obstructions and How to Avoid Them NeurIPS 2023