| 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 | 5842 | 2016 |
| Training very deep networks RK Srivastava, K Greff, J Schmidhuber Advances in neural information processing systems, 2377-2385, 2015 | 5107* | 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 | 1499 | 2015 |
| Recurrent highway networks JG Zilly, RK Srivastava, J Koutnık, J Schmidhuber International conference on machine learning, 4189-4198, 2017 | 479 | 2017 |
| Highway and residual networks learn unrolled iterative estimation K Greff, RK Srivastava, J Schmidhuber arXiv preprint arXiv:1612.07771, 2016 | 234 | 2016 |
| Compete to compute RK Srivastava, J Masci, S Kazerounian, F Gomez, J Schmidhuber Advances in Neural Information Processing Systems, 2310-2318, 2013 | 211 | 2013 |
| ContextVP: Fully context-aware video prediction W Byeon, Q Wang, RK Srivastava, P Koumoutsakos European Conference on Computer Vision, 2018 | 149 | 2018 |
| 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 | 78 | 2017 |
| Training agents using upside-down reinforcement learning RK Srivastava, P Shyam, F Mutz, W Jaśkowski, J Schmidhuber NeurIPS Deep Reinforcement Learning Workshop, 2019 | 66 | 2019 |
| First experiments with powerplay RK Srivastava, BR Steunebrink, J Schmidhuber Neural Networks 41, 130-136, 2013 | 61 | 2013 |
| Understanding Locally Competitive Networks RK Srivastava, J Masci, F Gomez, J Schmidhuber International Conference on Learning Representations, 2015 | 52 | 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 | 35 | 2020 |
| Binding via reconstruction clustering K Greff, RK Srivastava, J Schmidhuber arXiv preprint arXiv:1511.06418, 2015 | 33 | 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 | 24 | 2013 |
| An evolutionary based Bayesian design optimization approach under incomplete information R Srivastava, K Deb Engineering Optimization 45 (2), 141-165, 2013 | 19 | 2013 |
| Generalized compressed network search R Srivastava, J Schmidhuber, F Gomez Parallel Problem Solving from Nature-PPSN XII, 337-346, 2012 | 15 | 2012 |
| 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 | 14 | 2012 |
| 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 | 14 | 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 | 14 | 2010 |
| Clipup: a simple and powerful optimizer for distribution-based policy evolution NE Toklu, P Liskowski, RK Srivastava Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020 | 6 | 2020 |
Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoVerified email at kaust.edu.sa
