Mariano Phielipp

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 25

Top Topics

Confidence Values

Eligibility Traces

Reinforcement Learning

Ensemble Members

Top Venues

Publications

Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth
Searching for High-Value Molecules Using Reinforcement Learning and Transformers. ICLR (2024)
Uday Mallappa, Hesham Mostafa, Michael Galkin, Mariano Phielipp, Somdeb Majumdar
FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs. CoRR (2024)
Rafael Rafailov, Kyle Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning. CoRR (2024)
Hesham Mostafa, Uday Mallappa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar
PARSAC: Fast, Human-quality Floorplanning for Modern SoCs with Complex Design Constraints. CoRR (2024)
Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic
Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning. CoRL (2023)
Ruihan Zhao, Ufuk Topcu, Sandeep Chinchali, Mariano Phielipp
Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations. CoRR (2023)
Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth
Searching for High-Value Molecules Using Reinforcement Learning and Transformers. CoRR (2023)
Hassam Sheikh, Kizza Frisbee, Mariano Phielipp
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning. CoRR (2022)
Hassam Sheikh, Kizza Frisbee, Mariano Phielipp
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning. ICML (2022)
Austin Cheng, Andy Cai, Santiago Miret, Gustavo Malkomes, Mariano Phielipp, Alán Aspuru-Guzik
Group SELFIES: A Robust Fragment-Based Molecular String Representation. CoRR (2022)
Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic
Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design. CoRR (2022)
Brandon Trabucco, Mariano Phielipp, Glen Berseth
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology. CoRR (2022)
Brandon Trabucco, Mariano Phielipp, Glen Berseth
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology. ICML (2022)
Hassam Sheikh, Mariano Phielipp, Ladislau Bölöni
Maximizing Ensemble Diversity in Deep Reinforcement Learning. ICLR (2022)
Hassam Ullah Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar, Mariano Phielipp
Learning Intrinsic Symbolic Rewards in Reinforcement Learning. IJCNN (2022)
Anurag Koul, Mariano Phielipp, Alan Fern
Offline Policy Comparison with Confidence: Benchmarks and Baselines. CoRR (2022)
Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization. CoRR (2021)
Varun Kumar Vijay, Hassam Sheikh, Somdeb Majumdar, Mariano Phielipp
Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning. CoRR (2021)
Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro
Instance based Generalization in Reinforcement Learning. CoRR (2020)
Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro
Instance-based Generalization in Reinforcement Learning. NeurIPS (2020)
Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. CoRR (2020)
Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. ICRA (2020)
Yiming Ding, Carlos Florensa, Pieter Abbeel, Mariano Phielipp
Goal-conditioned Imitation Learning. NeurIPS (2019)
Yiming Ding, Carlos Florensa, Mariano Phielipp, Pieter Abbeel
Goal-conditioned Imitation Learning. CoRR (2019)
Avneesh Singh Saluja, Frank Mokaya, Mariano Phielipp, Branislav Kveton
Automatic Identity Inference for Smart TVs. Lifelong Learning (2011)
Mariano Phielipp, Magdiel Galan, Richard Lee, Branislav Kveton, Jeffrey Hightower
Fast, Accurate, and Practical Identity Inference Using TV Remote Controls. IAAI (2010)
Armando A. Rodriguez, Oguzhan Çifdalöz, Mariano Phielipp, Jeffrey J. Dickeson
Description of a Modeling, Simulation, Animation, and Real-Time Control (MoSART) Environment for a Class of 6-DOF Dynamical Systems. ACC (2007)
Mariano Phielipp, John A. Black Jr., Sethuraman Panchanathan
Using words as lexical basis functions for automatically indexing face images in a manner that correlates with human perception of similarity. Human Vision and Electronic Imaging (2006)
Armando A. Rodriguez, Oguzhan Çifdalöz, Mariano Phielipp, Jeffrey J. Dickeson, Paul M. Koziol, David Miles, Miguel Garcia, Robert McCullen, Jerald Willis, Jose Benavides
Description of a Modeling, Simulation, Animation, and Real-Time Control (MoSART) Environment for a Broad Class of Dynamical Systems. CDC (2006)
John A. Black Jr., Mariano Phielipp, Gregory M. Nielson, Sethuraman Panchanathan
Can the high-level content of natural images be indexed using local analysis? Human Vision and Electronic Imaging (2004)
Gregory M. Nielson, Gary Graf, Ryan Holmes, Adam Huang, Mariano Phielipp
Shrouds: Optimal Separating Surfaces for Enumerated Volumes. VisSym (2003)