Time-series Generation by Contrastive Imitation

2 November 2023

Papers citing "Time-series Generation by Contrastive Imitation"

50 / 61 papers shown

Title
Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett Alihan Huyuk M. Schaar AI4CE 82 28 0 28 Oct 2023
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 101 198 0 17 Feb 2021
f-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni Harshit S. Sikchi Yufei Wang Tejus Gupta Lisa Lee Benjamin Eysenbach 80 73 0 09 Nov 2020
Error Bounds of Imitating Policies and Environments Tian Xu Ziniu Li Yang Yu 81 119 0 22 Oct 2020
$f$ -GAIL: Learning $f$ -Divergence for Generative Adversarial Imitation Learning Xin Zhang Jun Luo Ziming Zhang Zhi-Li Zhang 48 33 0 02 Oct 2020
Non-Adversarial Imitation Learning and its Connections to Adversarial Methods Oleg Arenz Gerhard Neumann GAN 42 19 0 08 Aug 2020
Hide-and-Seek Privacy Challenge James Jordon Daniel Jarrett Jinsung Yoon Tavian Barnes Paul Elbers P. Thoral A. Ercole Cheng Zhang Danielle Belgrave M. Schaar MIACV 44 24 0 23 Jul 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport Tianlin Xu L. Wenliang Michael Munn Beatrice Acciaio GAN CML 69 98 0 15 Jun 2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation Haiyan Yin Dingcheng Li Xu Li P. Li 82 23 0 12 Mar 2020
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions Zinan Lin Alankar Jain Chen Wang Giulia Fanti Vyas Sekar 55 22 0 30 Sep 2019
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning Wenjie Shi Shiji Song Cheng Wu 61 37 0 07 Sep 2019
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 121 1,262 0 01 Jul 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 74 125 0 23 Jun 2019
GANSynth: Adversarial Neural Audio Synthesis Jesse Engel Kumar Krishna Agrawal Shuo Chen Ishaan Gulrajani Chris Donahue Adam Roberts 101 392 0 23 Feb 2019
Maximum Entropy Generators for Energy-Based Models Rithesh Kumar Sherjil Ozair Anirudh Goyal Aaron Courville Yoshua Bengio 44 113 0 24 Jan 2019
T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling Giorgia Ramponi P. Protopapas Marco Brambilla Ryan Janssen AI4TS TTA 52 98 0 20 Nov 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 88 847 0 16 Nov 2018
Language GANs Falling Short Massimo Caccia Lucas Caccia W. Fedus Hugo Larochelle Joelle Pineau Laurent Charlin 194 218 0 06 Nov 2018
Adversarial Imitation via Variational Inverse Reinforcement Learning A. H. Qureshi Byron Boots Michael C. Yip 58 61 0 17 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 95 260 0 09 Sep 2018
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency Zhuang Ma Michael Collins 74 149 0 06 Sep 2018
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 207 484 0 09 Jun 2018
Deep Reinforcement Learning For Sequence to Sequence Models Yaser Keneshloo Tian Shi Naren Ramakrishnan Chandan K. Reddy AIMat 3DV OffRL 66 210 0 24 May 2018
Adversarial Audio Synthesis Chris Donahue Julian McAuley M. Puckette GAN 143 614 0 12 Feb 2018
MaskGAN: Better Text Generation via Filling in the______ W. Fedus Ian Goodfellow Andrew M. Dai 89 470 0 23 Jan 2018
Global overview of Imitation Learning Alexandre Attia Sharone Dayan 60 73 0 19 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,406 0 04 Jan 2018
Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal Alessandro Sordoni Marc-Alexandre Côté Nan Rosemary Ke Yoshua Bengio BDL 72 185 0 15 Nov 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 129 757 0 30 Oct 2017
Long Text Generation via Adversarial Training with Leaked Information Jiaxian Guo Sidi Lu Han Cai Weinan Zhang Yong Yu Jun Wang GAN 79 498 0 24 Sep 2017
MoCoGAN: Decomposing Motion and Content for Video Generation Sergey Tulyakov Ming-Yuan Liu Xiaodong Yang Jan Kautz GAN 144 1,149 0 17 Jul 2017
Adversarial Feature Matching for Text Generation Yizhe Zhang Zhe Gan Kai Fan Zhi Chen Ricardo Henao Dinghan Shen Lawrence Carin GAN 81 334 0 12 Jun 2017
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs Cristóbal Esteban Stephanie L. Hyland Gunnar Rätsch GAN SyDa MedIm 112 791 0 08 Jun 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 190 631 0 01 Jun 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 115 1,343 0 27 Feb 2017
Calibrating Energy-based Generative Adversarial Networks Zihang Dai Amjad Almahairi Philip Bachman Eduard H. Hovy Aaron Courville GAN 63 111 0 06 Feb 2017
SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation M. Alzantot Supriyo Chakraborty Mani B. Srivastava 66 127 0 31 Jan 2017
Model-based Adversarial Imitation Learning Nir Baram Oron Anschel Shie Mannor GAN 51 43 0 07 Dec 2016
C-RNN-GAN: Continuous recurrent neural networks with adversarial training Olof Mogren GAN 115 520 0 29 Nov 2016
Temporal Generative Adversarial Nets with Singular Value Clipping Masaki Saito Eiichi Matsumoto Shunta Saito GAN 93 450 0 21 Nov 2016
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models Chelsea Finn Paul Christiano Pieter Abbeel Sergey Levine OffRL AI4CE GAN 70 355 0 11 Nov 2016
Generative Adversarial Networks as Variational Training of Energy Based Models Shuangfei Zhai Yu Cheng Rogerio Feris Zhongfei Zhang GAN 48 31 0 06 Nov 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks Alex Lamb Anirudh Goyal Ying Zhang Saizheng Zhang Aaron Courville Yoshua Bengio GAN 124 595 0 27 Oct 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu Weinan Zhang Jun Wang Yong Yu GAN 72 2,405 0 18 Sep 2016
An Actor-Critic Algorithm for Sequence Prediction Dzmitry Bahdanau Philemon Brakel Kelvin Xu Anirudh Goyal Ryan J. Lowe Joelle Pineau Aaron Courville Yoshua Bengio 133 639 0 24 Jul 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 159 3,119 0 10 Jun 2016
Deep Directed Generative Models with Energy-Based Probability Estimation Taesup Kim Yoshua Bengio GAN 66 136 0 10 Jun 2016
A Minimax Approach to Supervised Learning Farzan Farnia David Tse 207 107 0 07 Jun 2016
Globally Normalized Transition-Based Neural Networks D. Andor Chris Alberti David J. Weiss Aliaksei Severyn Alessandro Presta Kuzman Ganchev Slav Petrov Michael Collins 82 568 0 19 Mar 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn Sergey Levine Pieter Abbeel 108 952 0 01 Mar 2016