Rupesh Kumar Srivastava
Rupesh Kumar Srivastava
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Citado por
LSTM: A search space odyssey
K Greff, RK Srivastava, J Koutník, BR Steunebrink, J Schmidhuber
IEEE transactions on neural networks and learning systems 28 (10), 2222-2232, 2016
Training very deep networks
RK Srivastava, K Greff, J Schmidhuber
Advances in neural information processing systems, 2377-2385, 2015
From captions to visual concepts and back
H Fang, S Gupta, F Iandola, RK Srivastava, L Deng, P Dollár, J Gao, X He, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Recurrent highway networks
JG Zilly, RK Srivastava, J Koutnık, J Schmidhuber
International conference on machine learning, 4189-4198, 2017
Highway and residual networks learn unrolled iterative estimation
K Greff, RK Srivastava, J Schmidhuber
arXiv preprint arXiv:1612.07771, 2016
Compete to compute
RK Srivastava, J Masci, S Kazerounian, F Gomez, J Schmidhuber
Advances in Neural Information Processing Systems, 2310-2318, 2013
ContextVP: Fully context-aware video prediction
W Byeon, Q Wang, RK Srivastava, P Koumoutsakos
European Conference on Computer Vision, 2018
Training agents using upside-down reinforcement learning
RK Srivastava, P Shyam, F Mutz, W Jaśkowski, J Schmidhuber
NeurIPS Deep Reinforcement Learning Workshop, 2019
Discovery of semantic similarities between images and text
J Gao, X He, S Gupta, GG Zweig, F Iandola, L Deng, H Fang, MA Mitchell, ...
US Patent 9,836,671, 2017
First experiments with powerplay
RK Srivastava, BR Steunebrink, J Schmidhuber
Neural Networks 41, 130-136, 2013
Understanding Locally Competitive Networks
RK Srivastava, J Masci, F Gomez, J Schmidhuber
International Conference on Learning Representations, 2015
Artificial intelligence for prosthetics: Challenge solutions
Ł Kidziński, C Ong, SP Mohanty, J Hicks, S Carroll, B Zhou, H Zeng, ...
The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020
Binding via reconstruction clustering
K Greff, RK Srivastava, J Schmidhuber
arXiv preprint arXiv:1511.06418, 2015
An evolutionary algorithm based approach to design optimization using evidence theory
RK Srivastava, K Deb, R Tulshyan
Journal of Mechanical Design 135 (8), 081003, 2013
An evolutionary based Bayesian design optimization approach under incomplete information
R Srivastava, K Deb
Engineering Optimization 45 (2), 141-165, 2013
Generalized compressed network search
R Srivastava, J Schmidhuber, F Gomez
Parallel Problem Solving from Nature-PPSN XII, 337-346, 2012
Bayesian flow networks
A Graves, RK Srivastava, T Atkinson, F Gomez
arXiv preprint arXiv:2308.07037, 2023
An EA-based approach to design optimization using evidence theory
RK Srivastava, K Deb
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
Advanced pipe inspection robot using rotating probe
K Nishijima, Y Sun, RK Srivastava, H Ogai, B Bhattacharya
15th International Symposium on Artificial Life and Robotics, 2010
Continually adding self-invented problems to the repertoire: First experiments with POWERPLAY
RK Srivastava, BR Steunebrink, M Stollenga, J Schmidhuber
2012 IEEE International Conference on Development and Learning and …, 2012
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