Temporally Steered Gaussian Attention for Video Understanding. - Shagan Sah; Thang Nguyen 005; Miguel Domínguez; Felipe Petroski Such; Raymond W. Ptucha (CVPR Workshops, 2017)

Towards 3D convolutional neural networks with meshes. - Miguel Domínguez; Felipe Petroski Such; Shagan Sah; Raymond W. Ptucha (ICIP, 2017)

Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning. - Felipe Petroski Such; Vashisht Madhavan; Edoardo Conti; Joel Lehman; Kenneth O. Stanley; Jeff Clune (CoRR, 2017)

Robust Spatial Filtering With Graph Convolutional Neural Networks. - Felipe Petroski Such; Shagan Sah; Miguel Domínguez; Suhas Pillai; Chao Zhang; Andrew Michael; Nathan D. Cahill; Raymond W. Ptucha (IEEE J. Sel. Top. Signal Process., 2017)

Fully Convolutional Networks for Handwriting Recognition. - Felipe Petroski Such; Dheeraj Peri; Frank Brockler; Paul Hutkowski; Raymond W. Ptucha (ICFHR, 2018)

Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. - Edoardo Conti; Vashisht Madhavan; Felipe Petroski Such; Joel Lehman; Kenneth O. Stanley; Jeff Clune (NeurIPS, 2018)

An intriguing failing of convolutional neural networks and the CoordConv solution. - Rosanne Liu; Joel Lehman; Piero Molino; Felipe Petroski Such; Eric Frank; Alex Sergeev; Jason Yosinski (NeurIPS, 2018)

Efficient transfer learning and online adaptation with latent variable models for continuous control. - Christian F. Perez; Felipe Petroski Such; Theofanis Karaletsos (CoRR, 2018)

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. - Felipe Petroski Such; Vashisht Madhavan; Rosanne Liu; Rui Wang 052; Pablo Samuel Castro; Yulun Li; Ludwig Schubert; Marc G. Bellemare; Jeff Clune; Joel Lehman (CoRR, 2018)

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. - Felipe Petroski Such; Vashisht Madhavan; Rosanne Liu; Rui Wang 052; Pablo Samuel Castro; Yulun Li; Jiale Zhi; Ludwig Schubert; Marc G. Bellemare; Jeff Clune; Joel Lehman (IJCAI, 2019)

Intelligent character recognition using fully convolutional neural networks. - Raymond W. Ptucha; Felipe Petroski Such; Suhas Pillai; Frank Brockler; Vatsala Singh; Paul Hutkowski (Pattern Recognit., 2019)

Generalized Hidden Parameter MDPs: Transferable Model-Based RL in a Handful of Trials. - Christian F. Perez; Felipe Petroski Such; Theofanis Karaletsos (AAAI, 2020)

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. - Felipe Petroski Such; Aditya Rawal; Joel Lehman; Kenneth O. Stanley; Jeffrey Clune (ICML, 2020)

Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. - Aditya Rawal; Joel Lehman; Felipe Petroski Such; Jeff Clune; Kenneth O. Stanley (CoRR, 2020)

Evaluating Large Language Models Trained on Code. - Mark Chen 003; 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; et al. (CoRR, 2021)

Text and Code Embeddings by Contrastive Pre-Training. - 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; et al. (CoRR, 2022)

OpenAI o1 System Card. - Aaron Jaech; Adam Kalai; Adam Lerer; Adam Richardson; Ahmed El-Kishky; Aiden Low; Alec Helyar; Aleksander Madry; Alex Beutel; Alex Carney; Alex Iftimie; Alex Karpenko; et al. (CoRR, 2024)