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Probabilistic Modeling

2591 directly classified papers

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Papers

A prior-based approximate latent Riemannian metric AISTATS 2022
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior NIPS 2022
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes NIPS 2022
Synthsonic: Fast, Probabilistic modeling and Synthesis of Tabular Data AISTATS 2022
Modelling Non-Smooth Signals with Complex Spectral Structure AISTATS 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning NIPS 2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation NIPS 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning NIPS 2022
Mesoscopic modeling of hidden spiking neurons NIPS 2022
Natural gradient enables fast sampling in spiking neural networks NIPS 2022
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification EMNLP 2022
Entailment Semantics Can Be Extracted from an Ideal Language Model EMNLP 2022
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance NIPS 2022
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data NIPS 2022
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent NIPS 2022
Behavior Priors for Efficient Reinforcement Learning JMLR 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification NIPS 2022
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field EMNLP 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models NIPS 2022
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs AAAI 2022
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning NIPS 2022
The Neural Testbed: Evaluating Joint Predictions NIPS 2022
Deconvolutional Density Network: Modeling Free-Form Conditional Distributions AAAI 2022
Towards Improving Selective Prediction Ability of NLP Systems ACL 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NIPS 2022