| Deep neuroevolution: Genetic algorithms are a competitive alternative for training deep neural networks for reinforcement learning FP Such, V Madhavan, E Conti, J Lehman, KO Stanley, J Clune arXiv preprint arXiv:1712.06567, 2017 | 411 | 2017 |
| An intriguing failing of convolutional neural networks and the coordconv solution R Liu, J Lehman, P Molino, FP Such, E Frank, A Sergeev, J Yosinski Advances in neural information processing systems, 9605-9616, 2018 | 264 | 2018 |
| Improving exploration in evolution strategies for deep reinforcement learning via a population of novelty-seeking agents E Conti, V Madhavan, FP Such, J Lehman, K Stanley, J Clune Advances in neural information processing systems, 5027-5038, 2018 | 165 | 2018 |
| Robust spatial filtering with graph convolutional neural networks FP Such, S Sah, MA Dominguez, S Pillai, C Zhang, A Michael, ND Cahill, ... IEEE Journal of Selected Topics in Signal Processing 11 (6), 884-896, 2017 | 86 | 2017 |
| Intelligent character recognition using fully convolutional neural networks R Ptucha, FP Such, S Pillai, F Brockler, V Singh, P Hutkowski Pattern recognition 88, 604-613, 2019 | 47 | 2019 |
| An atari model zoo for analyzing, visualizing, and comparing deep reinforcement learning agents FP Such, V Madhavan, R Liu, R Wang, PS Castro, Y Li, J Zhi, L Schubert, ... arXiv preprint arXiv:1812.07069, 2018 | 22 | 2018 |
| Generative teaching networks: Accelerating neural architecture search by learning to generate synthetic training data FP Such, A Rawal, J Lehman, K Stanley, J Clune International Conference on Machine Learning, 9206-9216, 2020 | 14 | 2020 |
| Efficient transfer learning and online adaptation with latent variable models for continuous control CF Perez, FP Such, T Karaletsos arXiv preprint arXiv:1812.03399, 2018 | 10 | 2018 |
| Towards 3d convolutional neural networks with meshes M Dominguez, FP Such, S Sah, R Ptucha 2017 IEEE International Conference on Image Processing (ICIP), 3929-3933, 2017 | 10 | 2017 |
| Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials CF Perez, FP Such, T Karaletsos arXiv preprint arXiv:2002.03072, 2020 | 6 | 2020 |
| Fully convolutional networks for handwriting recognition FP Such, D Peri, F Brockler, H Paul, R Ptucha 2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018 | 6 | 2018 |
| Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search A Rawal, J Lehman, FP Such, J Clune, KO Stanley arXiv preprint arXiv:2005.13092, 2020 | 2 | 2020 |
| Temporally steered gaussian attention for video understanding S Sah, T Nguyen, M Dominguez, F Petroski Such, R Ptucha Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 2 | 2017 |
| Model based reinforcement learning based on generalized hidden parameter markov decision processes T Karaletsos, FP Such, CF Perez US Patent App. 16/881,557, 2020 | | 2020 |
| Generating training datasets for training neural networks FP Such, A Rawal, JA Lehman, KO Stanley, JM Clune US Patent App. 16/746,674, 2020 | | 2020 |
| Scalable parameter encoding of artificial neural networks obtained via an evolutionary process FP Such, JM Clune, KO Stanley, E Conti, V Madhavan, JA Lehman US Patent 10,599,975, 2020 | | 2020 |
| Fully Convolutional Networks for Handwriting Recognition F Petroski Such, D Peri, F Brockler, P Hutkowski, R Ptucha arXiv, arXiv: 1907.04888, 2019 | | 2019 |
| An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents F Petroski Such, V Madhavan, R Liu, R Wang, PS Castro, Y Li, J Zhi, ... arXiv, arXiv: 1812.07069, 2018 | | 2018 |
