Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax

19 December 2019

Papers citing "Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax"

14 / 14 papers shown

Title
On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributions Hedda Cohen Indelman Tamir Hazan 14 0 0 04 Jun 2024
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds Bastian Boll Daniel Gonzalez-Alvarado Christoph Schnörr DRL 45 4 0 12 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu Le Wan Xiu Li Zongqing Lu CML OffRL 38 4 0 05 Feb 2024
Identifying Semantic Component for Robust Molecular Property Prediction Zijian Li Zunhong Xu Ruichu Cai Zhenhui Yang Yuguang Yan Zhifeng Hao Guan-Hong Chen Kun Zhang 23 9 0 08 Nov 2023
QWID: Quantized Weed Identification Deep neural network Parikshit Singh Rathore MQ 11 0 0 29 Oct 2023
Guiding Language Model Math Reasoning with Planning Tokens Xinyi Wang Lucas Page-Caccia O. Ostapenko Xingdi Yuan William Yang Wang Alessandro Sordoni LRM 33 19 0 09 Oct 2023
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell G. Loaiza-Ganem 28 39 0 06 Jul 2022
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen Brandon Amos Maximilian Nickel 24 10 0 14 Mar 2022
Bayesian Nonparametrics for Offline Skill Discovery Valentin Villecroze H. Braviner Panteha Naderian Chris J. Maddison G. Loaiza-Ganem BDL OffRL 16 8 0 09 Feb 2022
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents Shivansh Patel Saim Wani Unnat Jain A. Schwing Svetlana Lazebnik Manolis Savva Angel X. Chang LM&Ro 24 25 0 12 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 26 93 0 04 Oct 2021
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents E. Guiraud Jakob Drefs Jörg Lücke DRL 33 3 0 27 Nov 2020
Generalized Gumbel-Softmax Gradient Estimator for Generic Discrete Random Variables Weonyoung Joo Dongjun Kim Seung-Jae Shin Il-Chul Moon 21 1 0 04 Mar 2020
The continuous categorical: a novel simplex-valued exponential family E. Gordon-Rodríguez G. Loaiza-Ganem John P. Cunningham 13 21 0 20 Feb 2020