ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.07808
  4. Cited By
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation

Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation

12 February 2024
Julius Vetter
Guy Moss
Cornelius Schroder
Richard Gao
Jakob H. Macke
ArXivPDFHTML

Papers citing "Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation"

11 / 11 papers shown
Title
Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems
Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems
Gabriel Missael Barco
Alexandre Adam
Connor Stone
Y. Hezaveh
Laurence Perreault Levasseur
OOD
60
4
0
24 Jul 2024
Robust Generalised Bayesian Inference for Intractable Likelihoods
Robust Generalised Bayesian Inference for Intractable Likelihoods
Takuo Matsubara
Jeremias Knoblauch
François‐Xavier Briol
Chris J. Oates
UQCV
40
79
0
15 Apr 2021
Benchmarking Simulation-Based Inference
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
169
192
0
12 Jan 2021
Neural Empirical Bayes: Source Distribution Estimation and its
  Applications to Simulation-Based Inference
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference
M. Vandegar
Michael Kagan
Antoine Wehenkel
Gilles Louppe
46
27
0
11 Nov 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
120
42,038
0
03 Dec 2019
The frontier of simulation-based inference
The frontier of simulation-based inference
Kyle Cranmer
Johann Brehmer
Gilles Louppe
AI4CE
94
834
0
04 Nov 2019
Asymptotic Guarantees for Learning Generative Models with the
  Sliced-Wasserstein Distance
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Kimia Nadjahi
Alain Durmus
Umut Simsekli
Roland Badeau
MedIm
22
63
0
11 Jun 2019
Automatic Posterior Transformation for Likelihood-Free Inference
Automatic Posterior Transformation for Likelihood-Free Inference
David S. Greenberg
M. Nonnenmacher
Jakob H. Macke
138
319
0
17 May 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with
  Autoregressive Flows
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios
D. Sterratt
Iain Murray
BDL
218
360
0
18 May 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
115
2,133
0
01 Mar 2018
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
95
397
0
20 Oct 2016
1