Felipe Petroski Such

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 22

Top Topics

Handwriting Recognition

Convolutional Neural Networks

Spatial Filtering

Top Venues

IEEE J. Sel. Top. Signal Process.

Publications

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 (2022)
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harrison 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 (2021)
Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. CoRR (2020)
Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos
Generalized Hidden Parameter MDPs: Transferable Model-Based RL in a Handful of Trials. AAAI (2020)
Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials. CoRR (2020)
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)
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 (2019)
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)
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 (2019)
Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond W. Ptucha
Fully Convolutional Networks for Handwriting Recognition. CoRR (2019)
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 (2018)
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 (2018)
Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond W. Ptucha
Fully Convolutional Networks for Handwriting Recognition. ICFHR (2018)
Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos
Efficient transfer learning and online adaptation with latent variable models for continuous control. CoRR (2018)
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)
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)
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 (2017)
Miguel Domínguez, Felipe Petroski Such, Shagan Sah, Raymond W. Ptucha
Towards 3D convolutional neural networks with meshes. ICIP (2017)
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 (2017)
Shagan Sah, Thang Nguyen, Miguel Domínguez, Felipe Petroski Such, Raymond W. Ptucha
Temporally Steered Gaussian Attention for Video Understanding. CVPR Workshops (2017)
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 (2017)
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) (2017)