Learning To Simulate

5 October 2018

Nataniel Ruiz

Papers citing "Learning To Simulate"

50 / 75 papers shown

Title
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun-Jie Luo 74 1 0 28 Jan 2025
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback Zaid Khan Elias Stengel-Eskin Jaemin Cho Mohit Bansal VGen 38 1 0 08 Oct 2024
Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning Wendyam Eric Lionel Ilboudo Taisuke Kobayashi Takamitsu Matsubara 18 0 0 07 Oct 2024
Learning Instance-Specific Parameters of Black-Box Models Using Differentiable Surrogates Arnisha Khondaker Nilanjan Ray 14 0 0 23 Jul 2024
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization F. V. Massoli Tim Bakker Thomas M. Hehn Tribhuvanesh Orekondy Arash Behboodi 48 0 0 06 Jun 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 60 4 0 13 Mar 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 21 3 0 06 Dec 2023
Multi-fidelity Constrained Optimization for Stochastic Black Box Simulators A. Agrawal Kislaya Ravi P. Koutsourelakis H. Bungartz 27 5 0 25 Nov 2023
Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps Thomas M. Hehn Tribhuvanesh Orekondy O. Shental Arash Behboodi Juan Bucheli Akash S. Doshi June Namgoong Taesang Yoo Ashwin Sampath Joseph B. Soriaga AI4CE 9 6 0 06 Oct 2023
Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic Xiaoxiao Sun Yue Yao Shengjin Wang Hongdong Li Liang Zheng 17 0 0 06 Oct 2023
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation Wen Wu Wenlin Chen C. Zhang P. Woodland 13 1 0 30 Sep 2023
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration Zheng Dang Mathieu Salzmann 3DPC 19 1 0 20 Sep 2023
Learning Hybrid Dynamics Models With Simulator-Informed Latent States K. Ensinger Sebastian Ziesche Sebastian Trimpe 27 1 0 06 Sep 2023
INTAGS: Interactive Agent-Guided Simulation Song Wei Andrea Coletta Svitlana Vyetrenko T. Balch 11 1 0 04 Sep 2023
Training with Product Digital Twins for AutoRetail Checkout Yue Yao Xinyu Tian Zhenghang Tang Sujit Biswas Huan Lei Tom Gedeon Liang Zheng 16 2 0 18 Aug 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 27 18 0 15 Jul 2023
Conditional Generators for Limit Order Book Environments: Explainability, Challenges, and Robustness Andrea Coletta Joseph Jerome Rahul Savani Svitlana Vyetrenko 19 17 0 22 Jun 2023
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer Allen Z. Ren Hongkai Dai Benjamin Burchfiel Anirudha Majumdar 16 14 0 09 Feb 2023
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing Nataniel Ruiz Sarah Adel Bargal Cihang Xie Kate Saenko Stan Sclaroff ViT 21 5 0 29 Nov 2022
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy Mehrnaz Sabet Praveen Palanisamy Sakshi Mishra 18 4 0 10 Nov 2022
Improving Adversarial Robustness by Contrastive Guided Diffusion Process Yidong Ouyang Liyan Xie Guang Cheng 20 6 0 18 Oct 2022
Human Body Measurement Estimation with Adversarial Augmentation Nataniel Ruiz Míriam Bellver Timo Bolkart Ambuj Arora Ming-Chia Lin Javier Romero Raj Bala 3DH 37 3 0 11 Oct 2022
A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction Luobin Wang Runlin Guo Q. Vuong Yuzhe Qin Hao Su Henrik I. Christensen 3DH 3DPC 17 17 0 06 Oct 2022
Meta-simulation for the Automated Design of Synthetic Overhead Imagery Handi Yu Simiao Ren L. Collins Jordan M. Malof 11 1 0 19 Sep 2022
Learning Pair Potentials using Differentiable Simulations Wujie Wang Zhenghao Wu Rafael Gómez-Bombarelli 17 23 0 16 Sep 2022
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments Shubham Dokania A. Subramanian Manmohan Chandraker C. V. Jawahar 21 6 0 16 Aug 2022
Neural-Sim: Learning to Generate Training Data with NeRF Yunhao Ge Harkirat Singh Behl Jiashu Xu Suriya Gunasekar Neel Joshi Ya-heng Song Xin Eric Wang Laurent Itti Vibhav Vineet 24 33 0 22 Jul 2022
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation Zhun Zhong Yuyang Zhao G. Lee N. Sebe OOD 19 69 0 11 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 18 1 0 29 Apr 2022
Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning Sunwoo Kim Maks Sorokin Jehee Lee Sehoon Ha 19 14 0 28 Apr 2022
Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond Yue Yao Liang Zheng Xiaodong Yang Milind Napthade Tom Gedeon 24 17 0 28 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective Wenhao Ding Chejian Xu Mansur Arief Hao-ming Lin Bo-wen Li Ding Zhao 30 142 0 04 Feb 2022
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset? Yuchi Liu Zhongdao Wang Tom Gedeon Liang Zheng CVBM 8 6 0 03 Dec 2021
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data Samarth Mishra Rameswar Panda Cheng Perng Phoo Chun-Fu Chen Leonid Karlinsky Kate Saenko Venkatesh Saligrama Rogerio Feris 21 33 0 30 Nov 2021
Robot Learning from Randomized Simulations: A Review Fabio Muratore Fabio Ramos Greg Turk Wenhao Yu Michael Gienger Jan Peters AI4CE 10 78 0 01 Nov 2021
Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification Suncheng Xiang Dahong Qian Mengyuan Guan Binghai Yan Guanjie You Ting Liu Yuzhuo Fu AI4TS 21 31 0 22 Sep 2021
Man versus Machine: AutoML and Human Experts' Role in Phishing Detection R. Purwanto Arindam Pal Alan Blair S. Jha 13 1 0 27 Aug 2021
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning Haoyi Niu Jianming Hu Zheyu Cui Yi Zhang 23 16 0 25 Jul 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 24 6 0 06 Jul 2021
Simulated Adversarial Testing of Face Recognition Models Nataniel Ruiz Adam Kortylewski Weichao Qiu Cihang Xie Sarah Adel Bargal Alan Yuille Stan Sclaroff AAML CVBM 8 15 0 08 Jun 2021
High-Quality Diversification for Task-Oriented Dialogue Systems Zhiwen Tang Hrishikesh Kulkarni Grace Hui Yang 14 7 0 02 Jun 2021
Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set Yuanlu Bai T. Balch Haoxian Chen Danial Dervovic H. Lam Svitlana Vyetrenko 11 2 0 27 May 2021
DriveGAN: Towards a Controllable High-Quality Neural Simulation S. Kim Jonah Philion Antonio Torralba Sanja Fidler 9 108 0 30 Apr 2021
Photoacoustic image synthesis with generative adversarial networks Melanie Schellenberg J. Gröhl Kris K. Dreher Jan-Hinrich Nolke Niklas Holzwarth M. Tizabi A. Seitel Lena Maier-Hein GAN MedIm 19 17 0 29 Mar 2021
Population-Based Evolution Optimizes a Meta-Learning Objective Kevin Frans Olaf Witkowski 17 5 0 11 Mar 2021
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning Yifeng Jiang Tingnan Zhang Daniel Ho Yunfei Bai C. Karen Liu Sergey Levine Jie Tan GAN 17 54 0 15 Jan 2021
Improving the Generalization of End-to-End Driving through Procedural Generation Quanyi Li Zhenghao Peng Qihang Zhang Chunxiao Liu Bolei Zhou 8 16 0 26 Dec 2020
Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer Raghad Alghonaim Edward Johns 13 21 0 13 Nov 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Bo-wen Li Kim Ji Eun Ding Zhao AAML 16 98 0 16 Sep 2020
AutoSimulate: (Quickly) Learning Synthetic Data Generation Harkirat Singh Behl A. G. Baydin Ran Gal Philip H. S. Torr Vibhav Vineet 6 23 0 16 Aug 2020