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ORCIDFelipe Petroski Such
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2020 – today
- 2022
[i12]Arvind Neelakantan, Tao Xu, Raul Puri, Alec Radford, Jesse Michael Han, Jerry Tworek, Qiming Yuan, Nikolas Tezak, Jong Wook Kim, Chris Hallacy, Johannes Heidecke, Pranav Shyam, Boris Power, Tyna Eloundou Nekoul, Girish Sastry, Gretchen Krueger, David Schnurr, Felipe Petroski Such, Kenny Hsu, Madeleine Thompson, Tabarak Khan, Toki Sherbakov, Joanne Jang, Peter Welinder, Lilian Weng:
Text and Code Embeddings by Contrastive Pre-Training. CoRR abs/2201.10005 (2022)- 2021
- [i11]Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba:
Evaluating Large Language Models Trained on Code. CoRR abs/2107.03374 (2021) - 2020
- [c8]Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos:
Generalized Hidden Parameter MDPs: Transferable Model-Based RL in a Handful of Trials. AAAI 2020: 5403-5411 - [c7]Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeffrey Clune:
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. ICML 2020: 9206-9216 - [i10]Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos:
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials. CoRR abs/2002.03072 (2020) - [i9]Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley:
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. CoRR abs/2005.13092 (2020)
2010 – 2019
- 2019
- [j2]Raymond W. Ptucha, Felipe Petroski Such, Suhas Pillai, Frank Brockler, Vatsala Singh
, Paul Hutkowski:
Intelligent character recognition using fully convolutional neural networks. Pattern Recognit. 88: 604-613 (2019) - [c6]Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman:
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. IJCAI 2019: 3260-3267 - [i8]Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond W. Ptucha:
Fully Convolutional Networks for Handwriting Recognition. CoRR abs/1907.04888 (2019) - [i7]Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. CoRR abs/1912.07768 (2019) - 2018
- [c5]Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond W. Ptucha:
Fully Convolutional Networks for Handwriting Recognition. ICFHR 2018: 86-91 - [c4]Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. NeurIPS 2018: 5032-5043 - [c3]Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski:
An intriguing failing of convolutional neural networks and the CoordConv solution. NeurIPS 2018: 9628-9639 - [i6]Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski:
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution. CoRR abs/1807.03247 (2018) - [i5]Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos:
Efficient transfer learning and online adaptation with latent variable models for continuous control. CoRR abs/1812.03399 (2018) - [i4]Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman:
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. CoRR abs/1812.07069 (2018) - 2017
- [j1]Felipe Petroski Such, Shagan Sah, Miguel Domínguez, Suhas Pillai, Chao Zhang, Andrew Michael, Nathan D. Cahill, Raymond W. Ptucha:
Robust Spatial Filtering With Graph Convolutional Neural Networks. IEEE J. Sel. Top. Signal Process. 11(6): 884-896 (2017) - [c2]Shagan Sah, Thang Nguyen, Miguel Domínguez, Felipe Petroski Such, Raymond W. Ptucha:
Temporally Steered Gaussian Attention for Video Understanding. CVPR Workshops 2017: 2208-2216 - [c1]Miguel Domínguez, Felipe Petroski Such, Shagan Sah, Raymond W. Ptucha:
Towards 3D convolutional neural networks with meshes. ICIP 2017: 3929-3933 - [i3]Felipe Petroski Such, Shagan Sah, Miguel Domínguez, Suhas Pillai, Chao Zhang, Andrew Michael, Nathan D. Cahill, Raymond W. Ptucha:
Robust Spatial Filtering with Graph Convolutional Neural Networks. CoRR abs/1703.00792 (2017) - [i2]Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. CoRR abs/1712.06560 (2017) - [i1]Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning. CoRR abs/1712.06567 (2017)
Coauthor Index
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