Probabilistic Modeling

Path Integral Sampler: A Stochastic Control Approach For Sampling ICLR 2022 Pick-and-Mix Information Operators for Probabilistic ODE Solvers AISTATS 2022 POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes RSS 2022 Practical Conditional Neural Process Via Tractable Dependent Predictions ICLR 2022 Practical Integration via Separable Bijective Networks ICLR 2022 Predictive Whittle networks for time series UAI 2022 Principal Component Flows ICML 2022 PRISM: Probabilistic Real-Time Inference in Spatial World Models CoRL 2022 Privacy for Free: How does Dataset Condensation Help Privacy? ICML 2022 Privacy Implications of Shuffling ICLR 2022 Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation NeurIPS 2022 Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data NeurIPS 2022 Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations AISTATS 2022 Probabilistic ODE Solutions in Millions of Dimensions ICML 2022 Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings Interspeech 2022 Probabilistic surrogate networks for simulators with unbounded randomness UAI 2022 Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design NeurIPS 2022 Reconstructing Diffusion Networks from Incomplete Data IJCAI 2022 Recursive Monte Carlo and variational inference with auxiliary variables UAI 2022 Regularized Molecular Conformation Fields NeurIPS 2022 Relational Learning with Variational Bayes ICLR 2022 Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NeurIPS 2022 Robust Depth Completion with Uncertainty-Driven Loss Functions AAAI 2022 Robust learning of tractable probabilistic models UAI 2022 Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent NeurIPS 2022