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Group SELFIES: A Robust Fragment-Based Molecular String Representation


Nov 23, 2022
Austin Cheng, Andy Cai, Santiago Miret, Gustavo Malkomes, Mariano Phielipp, Alán Aspuru-Guzik

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* 11 pages + references and appendix 

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AnyMorph: Learning Transferable Polices By Inferring Agent Morphology


Jun 17, 2022
Brandon Trabucco, Mariano Phielipp, Glen Berseth

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* published at ICML 2022 

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Offline Policy Comparison with Confidence: Benchmarks and Baselines


May 22, 2022
Anurag Koul, Mariano Phielipp, Alan Fern

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Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design


Apr 01, 2022
Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanović

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DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning


Feb 06, 2022
Hassam Sheikh, Kizza Frisbee, Mariano Phielipp

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Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning


Jun 18, 2021
Varun Kumar Vijay, Hassam Sheikh, Somdeb Majumdar, Mariano Phielipp

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Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization


Jun 14, 2021
Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar

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Instance based Generalization in Reinforcement Learning


Nov 02, 2020
Martin Bertran, Natalia Martinez, Mariano Phielipp, Guillermo Sapiro

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* Accepted on NeurIPS 2020 

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Language-Conditioned Imitation Learning for Robot Manipulation Tasks


Oct 22, 2020
Simon Stepputtis, Joseph Campbell, Mariano Phielipp, Stefan Lee, Chitta Baral, Heni Ben Amor

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* Accepted to the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada as spotlight presentation 

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Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos


May 31, 2020
Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg

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* IEEE International Conference on Robotics and Automation (ICRA), 2020 

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