Rupesh Kumar Srivastava

Orcid: 0000-0002-4032-4267

Affiliations:
  • University of Lugano, Dalle Molle Institute for Artificial Intelligence Research (IDSIA)
  • Indian Institute of Technology Kanpur, Department of Mechanical Engineering


According to our database1, Rupesh Kumar Srivastava authored at least 27 papers between 2010 and 2023.

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Timeline

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Bibliography

2023
Bayesian Flow Networks.
CoRR, 2023

Universal Smoothed Score Functions for Generative Modeling.
CoRR, 2023

EvoTorch: Scalable Evolutionary Computation in Python.
CoRR, 2023

2022
Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets.
CoRR, 2022

Learning Relative Return Policies With Upside-Down Reinforcement Learning.
CoRR, 2022

All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL.
CoRR, 2022

Multimeasurement Generative Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Reward-Weighted Regression Converges to a Global Optimum.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020
ClipUp: A Simple and Powerful Optimizer for Distribution-Based Policy Evolution.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019
Training Agents using Upside-Down Reinforcement Learning.
CoRR, 2019

Artificial Intelligence for Prosthetics - challenge solutions.
CoRR, 2019

2018
ContextVP: Fully Context-Aware Video Prediction.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
LSTM: A Search Space Odyssey.
IEEE Trans. Neural Networks Learn. Syst., 2017

Fully Context-Aware Video Prediction.
CoRR, 2017

Recurrent Highway Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Highway and Residual Networks learn Unrolled Iterative Estimation.
Proceedings of the 5th International Conference on Learning Representations, 2017

2015
Understanding Locally Competitive Networks.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Highway Networks.
CoRR, 2015

Binding via Reconstruction Clustering.
CoRR, 2015

Training Very Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

From captions to visual concepts and back.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013
Compete to Compute.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
First Experiments with PowerPlay
CoRR, 2012

Generalized Compressed Network Search.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Continually adding self-invented problems to the repertoire: First experiments with POWERPLAY.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

2011
An EA-based approach to design optimization using evidence theory.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010


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