Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1902.08401
Cited By
Learning about an exponential amount of conditional distributions
22 February 2019
Mohamed Ishmael Belghazi
Maxime Oquab
Yann LeCun
David Lopez-Paz
BDL
SSL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning about an exponential amount of conditional distributions"
23 / 23 papers shown
Towards Universal Neural Inference
Shreyas Bhat Brahmavar
Yang Li
Junier B. Oliva
OOD
154
0
0
12 Aug 2025
Distribution Guided Active Feature Acquisition
Yang Li
Junier Oliva
282
1
0
04 Oct 2024
Adapting to Shifting Correlations with Unlabeled Data Calibration
European Conference on Computer Vision (ECCV), 2024
Minh Le Nguyen
Alan Q. Wang
Heejong Kim
Mert R. Sabuncu
OOD
189
2
0
09 Sep 2024
Knockout: A simple way to handle missing inputs
Minh Le Nguyen
Batuhan K. Karaman
Heejong Kim
Alan Q. Wang
Fengbei Liu
M. Sabuncu
OOD
UQCV
337
4
0
30 May 2024
A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them
Data mining and knowledge discovery (DMKD), 2023
Lars Henry Berge Olsen
I. Glad
Martin Jullum
K. Aas
FAtt
194
25
0
16 May 2023
Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
International Conference on Machine Learning (ICML), 2023
M. Valancius
M. Lennon
Junier Oliva
155
5
0
27 Feb 2023
Model Joins: Enabling Analytics Over Joins of Absent Big Tables
A. Shanghooshabad
Peter Triantafillou
96
0
0
21 Jun 2022
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
European Conference on Computer Vision (ECCV), 2022
Feng Wang
Huiyu Wang
Chen Wei
Alan Yuille
Wei Shen
SSL
VLM
254
38
0
22 Mar 2022
Posterior Matching for Arbitrary Conditioning
Neural Information Processing Systems (NeurIPS), 2022
R. Strauss
Junier B. Oliva
CML
BDL
226
7
0
28 Jan 2022
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference
Sacha Lewin
Gilles Louppe
242
9
0
01 Oct 2021
Partially Observed Exchangeable Modeling
International Conference on Machine Learning (ICML), 2021
Yang Li
Junier B. Oliva
109
5
0
11 Feb 2021
Arbitrary Conditional Distributions with Energy
Neural Information Processing Systems (NeurIPS), 2021
R. Strauss
Junier B. Oliva
191
22
0
08 Feb 2021
Explaining by Removing: A Unified Framework for Model Explanation
Journal of machine learning research (JMLR), 2020
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
378
307
0
21 Nov 2020
Unsupervised Learning of Dense Visual Representations
Pedro H. O. Pinheiro
Amjad Almahairi
Ryan Y. Benmalek
Florian Golemo
Aaron Courville
SSL
MDE
268
212
0
11 Nov 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Neural Information Processing Systems (NeurIPS), 2020
Adarsh K. Jeewajee
L. Kaelbling
BDL
223
1
0
09 Jul 2020
Generalized Adversarially Learned Inference
AAAI Conference on Artificial Intelligence (AAAI), 2020
Yatin Dandi
Homanga Bharadhwaj
Abhishek Kumar
Piyush Rai
GAN
169
8
0
15 Jun 2020
Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference
Ricardo Baptista
Bamdad Hosseini
Nikola B. Kovachki
Youssef Marzouk
OT
GAN
278
32
0
11 Jun 2020
Low Distortion Block-Resampling with Spatially Stochastic Networks
S. J. Hong
Martín Arjovsky
Darryl Barnhart
Ian Thompson
133
8
0
09 Jun 2020
Shapley explainability on the data manifold
International Conference on Learning Representations (ICLR), 2020
Christopher Frye
Damien de Mijolla
T. Begley
Laurence Cowton
Megan Stanley
Ilya Feige
FAtt
TDI
421
113
0
01 Jun 2020
Composing Normalizing Flows for Inverse Problems
International Conference on Machine Learning (ICML), 2020
Jay Whang
Erik M. Lindgren
A. Dimakis
TPM
318
55
0
26 Feb 2020
Masking schemes for universal marginalisers
Divya Gautam
Maria Lomeli
Kostis Gourgoulias
D. Thompson
Saurabh Johri
178
1
0
16 Jan 2020
Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs
R. Walecki
Kostis Gourgoulias
Adam Baker
Chris Hart
Chris Lucas
Max Zwiessele
A. Buchard
Maria Lomeli
Yura N. Perov
Saurabh Johri
UQCV
174
0
0
16 Oct 2019
Flow Models for Arbitrary Conditional Likelihoods
International Conference on Machine Learning (ICML), 2019
Yongqian Li
Shoaib Akbar
Junier B. Oliva
OOD
AI4CE
183
42
0
13 Sep 2019
1
