conftrace_

probabilistic model

476 papers

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probabilistic modeling (852) bayesian inference (1907) variational inference (2069) generative model (2892) latent variable model (564) unsupervised learning (3264) uncertainty quantification (1393) topic modeling (461) expectation maximization (255) latent variable (541)

Papers

An Ordinal Latent Variable Model of Conflict Intensity ACL 2023
CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data ICML 2023
On the Representational Capacity of Recurrent Neural Language Models EMNLP 2023
Explainability as statistical inference ICML 2023
Quantitative Universal Approximation Bounds for Deep Belief Networks ICML 2023
Lazy-k Decoding: Constrained Decoding for Information Extraction EMNLP 2023
Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models IJCAI 2023
Probabilistic Generalization of Backdoor Trees with Application to SAT AAAI 2023
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 2023
A Probabilistic Attention Model With Occlusion-Aware Texture Regression for 3D Hand Reconstruction From a Single RGB Image CVPR 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics NIPS 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance NIPS 2023
Probabilistic Concept Bottleneck Models ICML 2023
Prototype-oriented unsupervised anomaly detection for multivariate time series ICML 2023
Why think step by step? Reasoning emerges from the locality of experience NIPS 2023
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings NIPS 2023
Switching Autoregressive Low-rank Tensor Models NIPS 2023
Towards In-Distribution Compatible Out-of-Distribution Detection AAAI 2023
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation NIPS 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NIPS 2023
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching JMLR 2023
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions ICML 2023
Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction CVPR 2023
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs ICML 2023
Simple Disentanglement of Style and Content in Visual Representations ICML 2023