Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1707.07113
Cited By
v1
v2
v3
v4
v5 (latest)
Adversarial Variational Optimization of Non-Differentiable Simulators
22 July 2017
Gilles Louppe
Joeri Hermans
Kyle Cranmer
GAN
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Adversarial Variational Optimization of Non-Differentiable Simulators"
46 / 46 papers shown
Distributional Sensitivity Analysis: Enabling Differentiability in Sample-Based Inference
Pi-Yueh Chuang
A. Attia
Emil M. Constantinescu
147
0
0
12 Aug 2025
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation
Ibrahim Elsharkawy
Yonatan Kahn
240
4
0
13 May 2025
Predictive variational inference: Learn the predictively optimal posterior distribution
Jinlin Lai
Yuling Yao
Yuling Yao
BDL
438
3
0
18 Oct 2024
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
F. V. Massoli
Tim Bakker
Thomas M. Hehn
Tribhuvanesh Orekondy
Arash Behboodi
312
1
0
06 Jun 2024
Learning Diffusion Priors from Observations by Expectation Maximization
Neural Information Processing Systems (NeurIPS), 2024
Sacha Lewin
Gérome Andry
F. Lanusse
Gilles Louppe
DiffM
464
53
0
22 May 2024
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver
Shaocong Ma
James Diffenderfer
B. Kailkhura
Yi Zhou
AI4CE
345
0
0
17 Apr 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
Julius Vetter
Guy Moss
Cornelius Schroder
Richard Gao
Jakob H. Macke
416
9
0
12 Feb 2024
From concrete mixture to structural design -- a holistic optimization procedure in the presence of uncertainties
A. Agrawal
Erik Tamsen
P. Koutsourelakis
Joerg F. Unger
251
9
0
06 Dec 2023
Multi-fidelity Constrained Optimization for Stochastic Black Box Simulators
A. Agrawal
Kislaya Ravi
P. Koutsourelakis
H. Bungartz
282
6
0
25 Nov 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
International Conference on Learning Representations (ICLR), 2023
Chenyi Zi
Yimeng Zhang
Jinghan Jia
James Diffenderfer
Jiancheng Liu
Konstantinos Parasyris
Yihua Zhang
Zheng Zhang
B. Kailkhura
Sijia Liu
759
83
0
03 Oct 2023
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
Neural Information Processing Systems (NeurIPS), 2022
Nataniel Ruiz
Sarah Adel Bargal
Cihang Xie
Kate Saenko
Stan Sclaroff
ViT
191
8
0
29 Nov 2022
Human Body Measurement Estimation with Adversarial Augmentation
International Conference on 3D Vision (3DV), 2022
Nataniel Ruiz
Míriam Bellver
Timo Bolkart
Ambuj Arora
Ming-Chia Lin
Javier Romero
Raj Bala
3DH
291
8
0
11 Oct 2022
Compositional Score Modeling for Simulation-based Inference
International Conference on Machine Learning (ICML), 2022
Tomas Geffner
George Papamakarios
A. Mnih
480
46
0
28 Sep 2022
Meta-simulation for the Automated Design of Synthetic Overhead Imagery
Handi Yu
Simiao Ren
L. Collins
Jordan M. Malof
386
1
0
19 Sep 2022
Neural-Sim: Learning to Generate Training Data with NeRF
European Conference on Computer Vision (ECCV), 2022
Yunhao Ge
Harkirat Singh Behl
Lyne Tchapmi
Suriya Gunasekar
Neel Joshi
Ya-heng Song
Xin Eric Wang
Laurent Itti
Vibhav Vineet
467
36
0
22 Jul 2022
Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise with Application to Sim2Real Pneumonia Lesion Detection
Takahiro Suzuki
S. Hanaoka
Issei Sato
OOD
MedIm
283
1
0
29 Apr 2022
GATSBI: Generative Adversarial Training for Simulation-Based Inference
International Conference on Learning Representations (ICLR), 2022
Poornima Ramesh
Jan-Matthis Lueckmann
Jan Boelts
Álvaro Tejero-Cantero
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
GAN
325
43
0
12 Mar 2022
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data
Samarth Mishra
Yikang Shen
Cheng Perng Phoo
Chun-Fu Chen
Leonid Karlinsky
Kate Saenko
Venkatesh Saligrama
Rogerio Feris
453
46
0
30 Nov 2021
Simulated Adversarial Testing of Face Recognition Models
Computer Vision and Pattern Recognition (CVPR), 2021
Nataniel Ruiz
Adam Kortylewski
Weichao Qiu
Cihang Xie
Sarah Adel Bargal
Alan Yuille
Stan Sclaroff
AAML
CVBM
277
16
0
08 Jun 2021
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2021
Kartik Hegde
Po-An Tsai
Sitao Huang
Vikas Chandra
A. Parashar
Christopher W. Fletcher
233
117
0
02 Mar 2021
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference
M. Vandegar
Michael Kagan
Antoine Wehenkel
Gilles Louppe
280
36
0
11 Nov 2020
Bayesian Variational Optimization for Combinatorial Spaces
Tony C Wu
Daniel Flam-Shepherd
Alán Aspuru-Guzik
BDL
188
6
0
03 Nov 2020
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates
Alex Renda
Yishen Chen
Charith Mendis
Michael Carbin
219
42
0
08 Oct 2020
Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modeling
Royal Society Open Science (RSOS), 2020
Timothy Rumbell
Jaimit Parikh
J. Kozloski
V. Gurev
358
10
0
17 Sep 2020
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation
Jeevan Devaranjan
Amlan Kar
Sanja Fidler
265
94
0
20 Aug 2020
AutoSimulate: (Quickly) Learning Synthetic Data Generation
Harkirat Singh Behl
A. G. Baydin
Ran Gal
Juil Sock
Vibhav Vineet
312
25
0
16 Aug 2020
Extrapolating false alarm rates in automatic speaker verification
Interspeech (Interspeech), 2020
A. Sholokhov
Tomi Kinnunen
Ville Vestman
Kong Aik Lee
119
1
0
08 Aug 2020
Generalised Bayes Updates with
f
f
f
-divergences through Probabilistic Classifiers
Owen Thomas
Henri Pesonen
J. Corander
FedML
289
2
0
08 Jul 2020
Adversarial Likelihood-Free Inference on Black-Box Generator
Dongjun Kim
Weonyoung Joo
Seung-Jae Shin
Kyungwoo Song
Il-Chul Moon
GAN
288
5
0
13 Apr 2020
Black-Box Optimization with Local Generative Surrogates
S. Shirobokov
V. Belavin
Michael Kagan
Andrey Ustyuzhanin
A. G. Baydin
227
3
0
11 Feb 2020
Adaptive Divergence for Rapid Adversarial Optimization
PeerJ Computer Science (PCS), 2019
M. Borisyak
T. Gaintseva
Andrey Ustyuzhanin
103
0
0
01 Dec 2019
The frontier of simulation-based inference
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2019
Kyle Cranmer
Johann Brehmer
Gilles Louppe
AI4CE
798
1,147
0
04 Nov 2019
Unsupervised Doodling and Painting with Improved SPIRAL
John F. J. Mellor
Eunbyung Park
Yaroslav Ganin
Igor Babuschkin
Tejas D. Kulkarni
Dan Rosenbaum
Andy Ballard
T. Weber
Oriol Vinyals
S. M. Ali Eslami
303
49
0
02 Oct 2019
Synthetic Data for Deep Learning
Sergey I. Nikolenko
440
447
0
25 Sep 2019
Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
Astrophysical Journal (ApJ), 2019
Johann Brehmer
S. Mishra-Sharma
Joeri Hermans
Gilles Louppe
Kyle Cranmer
590
80
0
04 Sep 2019
MadMiner: Machine learning-based inference for particle physics
Computing and Software for Big Science (CSBS), 2019
Johann Brehmer
F. Kling
Irina Espejo
Kyle Cranmer
353
134
0
24 Jul 2019
Effective LHC measurements with matrix elements and machine learning
Johann Brehmer
Kyle Cranmer
Irina Espejo
F. Kling
Gilles Louppe
J. Pavez
203
14
0
04 Jun 2019
Automatic Posterior Transformation for Likelihood-Free Inference
International Conference on Machine Learning (ICML), 2019
David S. Greenberg
M. Nonnenmacher
Jakob H. Macke
638
414
0
17 May 2019
Meta-Sim: Learning to Generate Synthetic Datasets
Amlan Kar
Aayush Prakash
Ming-Yuan Liu
Eric Cameracci
Justin Yuan
Matt Rusiniak
David Acuna
Antonio Torralba
Sanja Fidler
382
271
0
25 Apr 2019
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
Joeri Hermans
Volodimir Begy
Gilles Louppe
530
21
0
10 Mar 2019
Recurrent machines for likelihood-free inference
Arthur Pesah
Antoine Wehenkel
Gilles Louppe
240
5
0
30 Nov 2018
Learning To Simulate
Nataniel Ruiz
S. Schulter
Manmohan Chandraker
474
122
0
05 Oct 2018
Likelihood-free inference with an improved cross-entropy estimator
M. Stoye
Johann Brehmer
Gilles Louppe
J. Pavez
Kyle Cranmer
FedML
UQCV
BDL
297
51
0
02 Aug 2018
Mining gold from implicit models to improve likelihood-free inference
Johann Brehmer
Gilles Louppe
J. Pavez
Kyle Cranmer
AI4CE
TPM
671
203
0
30 May 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning
Yaroslav Ganin
Tejas D. Kulkarni
Igor Babuschkin
A. Eslami
Oriol Vinyals
GAN
311
242
0
03 Apr 2018
Variational Inference over Non-differentiable Cardiac Simulators using Bayesian Optimization
Adam McCarthy
Blanca Rodriguez
A. Mincholé
260
5
0
09 Dec 2017
1
Page 1 of 1
