Felipe Petroski Such

22 papers A* 5B 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Text and Code Embeddings by Contrastive Pre-Training. CoRR 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
2021	J	`jnl`	Evaluating Large Language Models Trained on Code. CoRR 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
2020	J	`jnl`	Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials. CoRR Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos
2020	A*	`conf`	Generalized Hidden Parameter MDPs: Transferable Model-Based RL in a Handful of Trials. AAAI Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos
2020	A*	`conf`	Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. ICML Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeffrey Clune
2020	J	`jnl`	Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. CoRR Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley
2019	A*	`conf`	An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. IJCAI 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
2019	J	`jnl`	Fully Convolutional Networks for Handwriting Recognition. CoRR Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond W. Ptucha
2019	J	`jnl`	Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. CoRR Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2019	J	`jnl`	Intelligent character recognition using fully convolutional neural networks. Pattern Recognit. Raymond W. Ptucha, Felipe Petroski Such, Suhas Pillai, Frank Brockler, Vatsala Singh, Paul Hutkowski
2018	J	`jnl`	An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. CoRR Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman
2018	J	`jnl`	An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution. CoRR Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski
2018	A*	`conf`	An intriguing failing of convolutional neural networks and the CoordConv solution. NeurIPS Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski
2018	J	`jnl`	Efficient transfer learning and online adaptation with latent variable models for continuous control. CoRR Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos
2018	B	`conf`	Fully Convolutional Networks for Handwriting Recognition. ICFHR Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond W. Ptucha
2018	A*	`conf`	Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. NeurIPS Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2017	J	`jnl`	Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning. CoRR Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2017	J	`jnl`	Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. CoRR Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2017	J	`jnl`	Robust Spatial Filtering With Graph Convolutional Neural Networks. IEEE J. Sel. Top. Signal Process. Felipe Petroski Such, Shagan Sah, Miguel Domínguez, Suhas Pillai, Chao Zhang, Andrew Michael, Nathan D. Cahill, Raymond W. Ptucha
2017	J	`jnl`	Robust Spatial Filtering with Graph Convolutional Neural Networks. CoRR Felipe Petroski Such, Shagan Sah, Miguel Domínguez, Suhas Pillai, Chao Zhang, Andrew Michael, Nathan D. Cahill, Raymond W. Ptucha
2017	—	`conf`	Temporally Steered Gaussian Attention for Video Understanding. CVPR Workshops Shagan Sah, Thang Nguyen, Miguel Domínguez, Felipe Petroski Such, Raymond W. Ptucha
2017	B	`conf`	Towards 3D convolutional neural networks with meshes. ICIP Miguel Domínguez, Felipe Petroski Such, Shagan Sah, Raymond W. Ptucha