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2001.11235
Cited By
Learning Discrete Distributions by Dequantization
30 January 2020
Emiel Hoogeboom
Taco S. Cohen
Jakub M. Tomczak
DRL
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Papers citing
"Learning Discrete Distributions by Dequantization"
19 / 19 papers shown
Simplex-to-Euclidean Bijections for Categorical Flow Matching
Bernardo Williams
Victor M. Yeom-Song
M. Hartmann
Arto Klami
231
2
0
31 Oct 2025
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data
Yuta Sumiya
Hayaru Shouno
AAML
OOD
256
1
0
20 Apr 2024
Mixed Variational Flows for Discrete Variables
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Gian Carlo Diluvi
Benjamin Bloem-Reddy
Trevor Campbell
344
2
0
29 Aug 2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023
Tri Dung Duong
Qian Li
Guandong Xu
OOD
309
10
0
26 Mar 2023
AdaCat: Adaptive Categorical Discretization for Autoregressive Models
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Qiyang Li
Ajay Jain
Pieter Abbeel
OffRL
288
4
0
03 Aug 2022
Learning to Bound: A Generative Cramér-Rao Bound
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
H. Habi
H. Messer
Y. Bresler
343
14
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
384
13
0
28 Feb 2022
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives
Pierre-Alexandre Mattei
J. Frellsen
184
4
0
26 Jan 2022
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression
Neural Information Processing Systems (NeurIPS), 2021
Chen Zhang
Shifeng Zhang
Fabio Maria Carlucci
Zhenguo Li
VLM
184
3
0
02 Nov 2021
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
Neural Information Processing Systems (NeurIPS), 2021
Shifeng Zhang
Ning Kang
Tom Ryder
Zhenguo Li
179
43
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
344
24
0
30 Sep 2021
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression
Computer Vision and Pattern Recognition (CVPR), 2021
Shifeng Zhang
Chen Zhang
Ning Kang
Zhenguo Li
240
46
0
30 Mar 2021
Manifold Density Estimation via Generalized Dequantization
James A. Brofos
Marcus A. Brubaker
Roy R. Lederman
369
5
0
14 Feb 2021
Invertible DenseNets with Concatenated LipSwish
Neural Information Processing Systems (NeurIPS), 2021
Yura Perugachi-Diaz
Jakub M. Tomczak
Sandjai Bhulai
417
25
0
04 Feb 2021
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Neural Information Processing Systems (NeurIPS), 2020
Jason J. Yu
Konstantinos G. Derpanis
Marcus A. Brubaker
TPM
439
47
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
253
12
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
231
62
0
25 Jun 2020
Categorical Normalizing Flows via Continuous Transformations
Phillip Lippe
E. Gavves
BDL
504
51
0
17 Jun 2020
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow
Neural Information Processing Systems (NeurIPS), 2020
Didrik Nielsen
Ole Winther
MQ
475
13
0
06 Feb 2020
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