Mariano Phielipp

According to our database, Mariano Phielipp authored at least 22 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design.

Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2023

Searching for High-Value Molecules Using Reinforcement Learning and Transformers.

Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth

CoRR, 2023

Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations.

Ruihan Zhao, Ufuk Topcu, Sandeep Chinchali, Mariano Phielipp

CoRR, 2023

MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning.

Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn

Proceedings of the Conference on Robot Learning, 2023

2022

Group SELFIES: A Robust Fragment-Based Molecular String Representation.

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

CoRR, 2022

Offline Policy Comparison with Confidence: Benchmarks and Baselines.

Anurag Koul, Mariano Phielipp, Alan Fern

CoRR, 2022

Learning Intrinsic Symbolic Rewards in Reinforcement Learning.

Hassam Ullah Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar, Mariano Phielipp

Proceedings of the International Joint Conference on Neural Networks, 2022

AnyMorph: Learning Transferable Polices By Inferring Agent Morphology.

Brandon Trabucco, Mariano Phielipp, Glen Berseth

Proceedings of the International Conference on Machine Learning, 2022

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

Hassam Sheikh, Kizza Frisbee, Mariano Phielipp

Proceedings of the International Conference on Machine Learning, 2022

Maximizing Ensemble Diversity in Deep Reinforcement Learning.

Hassam Sheikh, Mariano Phielipp, Ladislau Bölöni

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning.

Varun Kumar Vijay, Hassam Sheikh, Somdeb Majumdar, Mariano Phielipp

CoRR, 2021

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

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

CoRR, 2021

2020

Instance-based Generalization in Reinforcement Learning.

Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos.

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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Goal-conditioned Imitation Learning.

Yiming Ding, Carlos Florensa, Pieter Abbeel, Mariano Phielipp

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2011

Automatic Identity Inference for Smart TVs.

Avneesh Singh Saluja, Frank Mokaya, Mariano Phielipp, Branislav Kveton

Proceedings of the Lifelong Learning, 2011

2010

Fast, Accurate, and Practical Identity Inference Using TV Remote Controls.

Mariano Phielipp, Magdiel Galan, Richard Lee, Branislav Kveton, Jeffrey Hightower

Proceedings of the Twenty-Second Conference on Innovative Applications of Artificial Intelligence, 2010

2007

Description of a Modeling, Simulation, Animation, and Real-Time Control (MoSART) Environment for a Class of 6-DOF Dynamical Systems.

Armando A. Rodriguez, Oguzhan Çifdalöz, Mariano Phielipp, Jeffrey J. Dickeson

Proceedings of the American Control Conference, 2007

2006

Using words as lexical basis functions for automatically indexing face images in a manner that correlates with human perception of similarity.

Mariano Phielipp, John A. Black Jr., Sethuraman Panchanathan

Proceedings of the Human Vision and Electronic Imaging XI, 2006

Description of a Modeling, Simulation, Animation, and Real-Time Control (MoSART) Environment for a Broad Class of Dynamical Systems.

Armando A. Rodriguez, Oguzhan Çifdalöz, Mariano Phielipp, Jeffrey J. Dickeson, Paul M. Koziol, David Miles, Miguel Garcia, Robert McCullen, Jerald Willis, Jose Benavides

Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2004

Can the high-level content of natural images be indexed using local analysis?

John A. Black Jr., Mariano Phielipp, Gregory M. Nielson, Sethuraman Panchanathan

Proceedings of the Human Vision and Electronic Imaging IX, 2004

2003

Shrouds: Optimal Separating Surfaces for Enumerated Volumes.

Gregory M. Nielson, Gary Graf, Ryan Holmes, Adam Huang, Mariano Phielipp

Proceedings of the 5th Joint Eurographics - IEEE TCVG Symposium on Visualization, 2003