probabilistic modeling

ExGAN: Adversarial Generation of Extreme Samples AAAI 2021 Finding Relevant Information via a Discrete Fourier Expansion ICML 2021 Fitting summary statistics of neural data with a differentiable spiking network simulator NeurIPS 2021 FP-NAS: Fast Probabilistic Neural Architecture Search CVPR 2021 Gaussian Process Priors for View-Aware Inference AAAI 2021 Geometry-Free View Synthesis: Transformers and No 3D Priors ICCV 2021 Information Laundering for Model Privacy ICLR 2021 Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models NeurIPS 2021 Kernel Stein Discrepancy Descent ICML 2021 Latent variable modeling with random features AISTATS 2021 Local explanations via necessity and sufficiency: unifying theory and practice UAI 2021 Multi-view Inference for Relation Extraction with Uncertain Knowledge AAAI 2021 Normalizing Flows for Probabilistic Modeling and Inference JMLR 2021 On Recovering from Modeling Errors Using Testing Bayesian Networks ICML 2021 On the Out-of-distribution Generalization of Probabilistic Image Modelling NeurIPS 2021 On the Stochastic Stability of Deep Markov Models NeurIPS 2021 On Variational Inference in Biclustering Models ICML 2021 Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation ICML 2021 PALM: Probabilistic area loss Minimization for Protein Sequence Alignment UAI 2021 Parametric Distributions to Model Numerical Emotion Labels Interspeech 2021 Partially Observed Exchangeable Modeling ICML 2021 Perturb-and-max-product: Sampling and learning in discrete energy-based models NeurIPS 2021 PILOT: Introducing Transformers for Probabilistic Sound Event Localization Interspeech 2021 PixelPyramids: Exact Inference Models From Lossless Image Pyramids ICCV 2021 Probabilistic 3D Human Shape and Pose Estimation From Multiple Unconstrained Images in the Wild CVPR 2021