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Papers
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
ACL 2022
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound
PGM 2022
Discrete Tree Flows via Tree-Structured Permutations
ICML 2022
Do Bayesian variational autoencoders know what they don’t know?
UAI 2022
DR.VIC: Decomposition and Reasoning for Video Individual Counting
CVPR 2022
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
ICLR 2022
Estimating Density Models with Truncation Boundaries using Score Matching
JMLR 2022
Fully Convolutional Cross-Scale-Flows for Image-Based Defect Detection
WACV 2022
General-purpose, long-context autoregressive modeling with Perceiver AR
ICML 2022
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
ICLR 2022
Invertible Monotone Operators for Normalizing Flows
NeurIPS 2022
Learning and Generalization in Overparameterized Normalizing Flows
AISTATS 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
ICML 2022
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians
ALT 2022
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
ICML 2022
Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach
NeurIPS 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
AISTATS 2022
Neural Inverse Transform Sampler
ICML 2022
Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness
NeurIPS 2022
Normalizing Flows for Knockoff-free Controlled Feature Selection
NeurIPS 2022
Posterior Matching for Arbitrary Conditioning
NeurIPS 2022
Practical Integration via Separable Bijective Networks
ICLR 2022
Principal Component Flows
ICML 2022
Private and polynomial time algorithms for learning Gaussians and beyond
COLT 2022
Random Forest Density Estimation
ICML 2022