Collapsed Inference for Bayesian Deep Learning

Collapsed Inference for Bayesian Deep Learning

16 June 2023

Mathias Niepert

Papers citing "Collapsed Inference for Bayesian Deep Learning"

11 / 11 papers shown

Title
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt Paolo Morettin Roberto Sebastiani Andrea Passerini Antonio Vergari 57 0 0 25 Mar 2025
Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans? R. Tao Haoyu Wang Yuzhe Guo H. Chen Li Zhang X. Liu Y. X. Wei Yao-Min Zhao 81 1 0 27 Nov 2024
Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability Masoud Muhammed Hassan 41 2 0 05 Aug 2024
Flat Posterior Does Matter For Bayesian Model Averaging Sungjun Lim Jeyoon Yeom Sooyon Kim Hoyoon Byun Jinho Kang Yohan Jung Jiyoung Jung Kyungwoo Song AAML BDL 48 0 0 21 Jun 2024
A Unified Approach to Count-Based Weakly-Supervised Learning Vinay Shukla Zhe Zeng Kareem Ahmed Mathias Niepert SSL 55 6 0 22 Nov 2023
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Mathias Niepert BDL 48 24 0 04 Oct 2022
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks Agustinus Kristiadi Runa Eschenhagen Philipp Hennig BDL 27 12 0 20 May 2022
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 249 1,838 0 03 Feb 2017
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 180 932 0 21 Oct 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 202 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015