Learning Discrete Distributions by Dequantization

Learning Discrete Distributions by Dequantization

30 January 2020

Emiel Hoogeboom

Jakub M. Tomczak

Papers citing "Learning Discrete Distributions by Dequantization"

19 / 19 papers shown

Title
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data Yuta Sumiya Hayaru Shouno AAML OOD 30 0 0 20 Apr 2024
Mixed Variational Flows for Discrete Variables Gian Carlo Diluvi Benjamin Bloem-Reddy Trevor Campbell 25 0 0 29 Aug 2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows Tri Dung Duong Qian Li Guandong Xu OOD 32 7 0 26 Mar 2023
AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li Ajay Jain Pieter Abbeel OffRL 39 4 0 03 Aug 2022
Learning to Bound: A Generative Cramér-Rao Bound H. Habi H. Messer Y. Bresler 12 9 0 07 Mar 2022
Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior Javier Antorán Riccardo Barbano Johannes Leuschner José Miguel Hernández-Lobato Bangti Jin UQCV 22 10 0 28 Feb 2022
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives Pierre-Alexandre Mattei J. Frellsen 16 4 0 26 Jan 2022
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression Chen Zhang Shifeng Zhang Fabio Maria Carlucci Zhenguo Li VLM 9 2 0 02 Nov 2021
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder Shifeng Zhang Ning Kang Tom Ryder Zhenguo Li 25 30 0 01 Nov 2021
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation Karina Zadorozhny P. Thoral Paul Elbers Giovanni Cina OODD OOD 6 12 0 30 Sep 2021
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression Shifeng Zhang Chen Zhang Ning Kang Zhenguo Li 25 37 0 30 Mar 2021
Manifold Density Estimation via Generalized Dequantization James A. Brofos Marcus A. Brubaker Roy R. Lederman 11 5 0 14 Feb 2021
Invertible DenseNets with Concatenated LipSwish Yura Perugachi-Diaz Jakub M. Tomczak S. Bhulai 15 20 0 04 Feb 2021
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 24 41 0 26 Oct 2020
Audio Dequantization for High Fidelity Audio Generation in Flow-based Neural Vocoder Hyun-Wook Yoon Sang-Hoon Lee Hyeong-Rae Noh Seong-Whan Lee 12 11 0 16 Aug 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Rasool Fakoor Jonas W. Mueller Nick Erickson Pratik Chaudhari Alex Smola 11 54 0 25 Jun 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 13 43 0 17 Jun 2020
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow Didrik Nielsen Ole Winther MQ 193 13 0 06 Feb 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,545 0 25 Jan 2016