Rupesh Kumar Srivastava

38 papers A* 4A 1Journal 22Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers. CoRR Miroslav Strupl, Oleg Szehr, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2023	J	`jnl`	Bayesian Flow Networks. CoRR Alex Graves, Rupesh Kumar Srivastava, Timothy Atkinson, Faustino J. Gomez
2023	J	`jnl`	EvoTorch: Scalable Evolutionary Computation in Python. CoRR Nihat Engin Toklu, Timothy Atkinson, Vojtech Micka, Pawel Liskowski, Rupesh Kumar Srivastava
2023	J	`jnl`	Universal Smoothed Score Functions for Generative Modeling. CoRR Saeed Saremi, Rupesh Kumar Srivastava, Francis R. Bach
2022	J	`jnl`	All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL. CoRR Kai Arulkumaran, Dylan R. Ashley, Jürgen Schmidhuber, Rupesh Kumar Srivastava
2022	J	`jnl`	Learning Relative Return Policies With Upside-Down Reinforcement Learning. CoRR Dylan R. Ashley, Kai Arulkumaran, Jürgen Schmidhuber, Rupesh Kumar Srivastava
2022	A*	`conf`	Multimeasurement Generative Models. ICLR Saeed Saremi, Rupesh Kumar Srivastava
2022	A*	`conf`	Reward-Weighted Regression Converges to a Global Optimum. AAAI Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2022	J	`jnl`	Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets. CoRR Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Jürgen Schmidhuber, Rupesh Kumar Srivastava
2021	J	`jnl`	Multimeasurement Generative Models. CoRR Saeed Saremi, Rupesh Kumar Srivastava
2021	J	`jnl`	Reward-Weighted Regression Converges to a Global Optimum. CoRR Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2020	—	`conf`	ClipUp: A Simple and Powerful Optimizer for Distribution-Based Policy Evolution. PPSN (2) Nihat Engin Toklu, Pawel Liskowski, Rupesh Kumar Srivastava
2020	J	`jnl`	ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution. CoRR Nihat Engin Toklu, Pawel Liskowski, Rupesh Kumar Srivastava
2019	J	`jnl`	Artificial Intelligence for Prosthetics - challenge solutions. CoRR Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp
2019	J	`jnl`	Training Agents using Upside-Down Reinforcement Learning. CoRR Rupesh Kumar Srivastava, Pranav Shyam, Filipe Mutz, Wojciech Jaskowski, Jürgen Schmidhuber
2018	—	`conf`	ContextVP: Fully Context-Aware Video Prediction. CVPR Workshops Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
2018	—	`conf`	ContextVP: Fully Context-Aware Video Prediction. ECCV (16) Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
2017	J	`jnl`	Fully Context-Aware Video Prediction. CoRR Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos
2017	—	`conf`	Highway and Residual Networks learn Unrolled Iterative Estimation. ICLR (Poster) Klaus Greff, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2017	J	`jnl`	LSTM: A Search Space Odyssey. IEEE Trans. Neural Networks Learn. Syst. Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník, Bas R. Steunebrink, Jürgen Schmidhuber
2017	A*	`conf`	Recurrent Highway Networks. ICML Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutník, Jürgen Schmidhuber
2016	J	`jnl`	Highway and Residual Networks learn Unrolled Iterative Estimation. CoRR Klaus Greff, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2016	J	`jnl`	Recurrent Highway Networks. CoRR Julian G. Zilly, Rupesh Kumar Srivastava, Jan Koutník, Jürgen Schmidhuber
2015	J	`jnl`	Binding via Reconstruction Clustering. CoRR Klaus Greff, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2015	A*	`conf`	From captions to visual concepts and back. CVPR Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig
2015	J	`jnl`	Highway Networks. CoRR Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber
2015	J	`jnl`	LSTM: A Search Space Odyssey. CoRR Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník, Bas R. Steunebrink, Jürgen Schmidhuber
2015	—	`conf`	Training Very Deep Networks. NIPS Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber
2015	J	`jnl`	Training Very Deep Networks. CoRR Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber
2015	—	`conf`	Understanding Locally Competitive Networks. ICLR (Poster) Rupesh Kumar Srivastava, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber
2014	J	`jnl`	From Captions to Visual Concepts and Back. CoRR Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig
2013	—	`conf`	Compete to Compute. NIPS Rupesh Kumar Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino J. Gomez, Jürgen Schmidhuber
2012	—	`conf`	Continually adding self-invented problems to the repertoire: First experiments with POWERPLAY. ICDL-EPIROB Rupesh Kumar Srivastava, Bas R. Steunebrink, Marijn F. Stollenga, Jürgen Schmidhuber
2012	J	`jnl`	First Experiments with PowerPlay CoRR Rupesh Kumar Srivastava, Bas R. Steunebrink, Jürgen Schmidhuber
2012	—	`conf`	Generalized Compressed Network Search. PPSN (1) Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez
2012	—	`conf`	Generalized compressed network search. GECCO (Companion) Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez
2011	A	`conf`	An EA-based approach to design optimization using evidence theory. GECCO Rupesh Kumar Srivastava, Kalyanmoy Deb
2010	—	`conf`	Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms. SEAL Rupesh Kumar Srivastava, Kalyanmoy Deb