Mariano Phielipp

38 papers A* 7A 2B 1C 2Misc 2Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CrystalGym: A New Benchmark for Materials Discovery Using Reinforcement Learning. CoRR Prashant Govindarajan, Mathieu Reymond, Antoine Clavaud, Mariano Phielipp, Santiago Miret, Sarath Chandar
2025	J	`jnl`	Efficient Morphology-Aware Policy Transfer to New Embodiments. CoRR Michael Przystupa, Hongyao Tang, Martin Jägersand, Santiago Miret, Mariano Phielipp, Matthew E. Taylor, Glen Berseth
2025	—	`conf`	Improved Silent Data Error Detection Through Test Optimization Using Reinforcement Learning. IRPS Manu Shamsa, John D. Martin, Mariano Phielipp, Thiago Macieira, Loganathan Lingappan, Brad Kelly, David P. Lerner, Michael Tucknott, Ethan Hansen
2024	Misc	`conf`	Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations. CoRL Ruihan Zhao, Ufuk Topcu, Sandeep P. Chinchali, Mariano Phielipp
2024	A	`conf`	FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SOCs. ICCAD Uday Mallappa, Hesham Mostafa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar
2024	J	`jnl`	FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs. CoRR Uday Mallappa, Hesham Mostafa, Michael Galkin, Mariano Phielipp, Somdeb Majumdar
2024	J	`jnl`	MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning. CoRR Rafael Rafailov, Kyle Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn
2024	J	`jnl`	PARSAC: Fast, Human-quality Floorplanning for Modern SoCs with Complex Design Constraints. CoRR Hesham Mostafa, Uday Mallappa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar
2024	A*	`conf`	Searching for High-Value Molecules Using Reinforcement Learning and Transformers. ICLR Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth
2023	J	`jnl`	Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations. CoRR Ruihan Zhao, Ufuk Topcu, Sandeep Chinchali, Mariano Phielipp
2023	Misc	`conf`	MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning. CoRL Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn
2023	J	`jnl`	Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic
2023	J	`jnl`	Searching for High-Value Molecules Using Reinforcement Learning and Transformers. CoRR Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth
2022	A*	`conf`	AnyMorph: Learning Transferable Polices By Inferring Agent Morphology. ICML Brandon Trabucco, Mariano Phielipp, Glen Berseth
2022	J	`jnl`	AnyMorph: Learning Transferable Polices By Inferring Agent Morphology. CoRR Brandon Trabucco, Mariano Phielipp, Glen Berseth
2022	A*	`conf`	DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning. ICML Hassam Sheikh, Kizza Frisbee, Mariano Phielipp
2022	J	`jnl`	DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning. CoRR Hassam Sheikh, Kizza Frisbee, Mariano Phielipp
2022	J	`jnl`	Group SELFIES: A Robust Fragment-Based Molecular String Representation. CoRR Austin H. Cheng, Andy Cai, Santiago Miret, Gustavo Malkomes, Mariano Phielipp, Alán Aspuru-Guzik
2022	B	`conf`	Learning Intrinsic Symbolic Rewards in Reinforcement Learning. IJCNN Hassam Ullah Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar, Mariano Phielipp
2022	A*	`conf`	Maximizing Ensemble Diversity in Deep Reinforcement Learning. ICLR Hassam Sheikh, Mariano Phielipp, Ladislau Bölöni
2022	A	`conf`	Neuroevolution-enhanced multi-objective optimization for mixed-precision quantization. GECCO Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar
2022	J	`jnl`	Offline Policy Comparison with Confidence: Benchmarks and Baselines. CoRR Anurag Koul, Mariano Phielipp, Alan Fern
2022	J	`jnl`	Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design. CoRR Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic
2021	J	`jnl`	Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning. CoRR Varun Kumar Vijay, Hassam Sheikh, Somdeb Majumdar, Mariano Phielipp
2021	J	`jnl`	Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization. CoRR Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar
2020	J	`jnl`	Instance based Generalization in Reinforcement Learning. CoRR Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro
2020	A*	`conf`	Instance-based Generalization in Reinforcement Learning. NeurIPS Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro
2020	A*	`conf`	Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. ICRA Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg
2020	J	`jnl`	Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. CoRR Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg
2019	A*	`conf`	Goal-conditioned Imitation Learning. NeurIPS Yiming Ding, Carlos Florensa, Pieter Abbeel, Mariano Phielipp
2019	J	`jnl`	Goal-conditioned Imitation Learning. CoRR Yiming Ding, Carlos Florensa, Mariano Phielipp, Pieter Abbeel
2011	—	`conf`	Automatic Identity Inference for Smart TVs. Lifelong Learning Avneesh Singh Saluja, Frank Mokaya, Mariano Phielipp, Branislav Kveton
2010	C	`conf`	Fast, Accurate, and Practical Identity Inference Using TV Remote Controls. IAAI Mariano Phielipp, Magdiel Galan, Richard Lee, Branislav Kveton, Jeffrey Hightower
2007	C	`conf`	Description of a Modeling, Simulation, Animation, and Real-Time Control (MoSART) Environment for a Class of 6-DOF Dynamical Systems. ACC Armando A. Rodriguez, Oguzhan Çifdalöz, Mariano Phielipp, Jeffrey J. Dickeson
2006	—	`conf`	Description of a Modeling, Simulation, Animation, and Real-Time Control (MoSART) Environment for a Broad Class of Dynamical Systems. CDC Armando A. Rodriguez, Oguzhan Çifdalöz, Mariano Phielipp, Jeffrey J. Dickeson, Paul M. Koziol, David Miles, Miguel Garcia, Robert McCullen, Jerald Willis, Jose Benavides
2006	—	`conf`	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 Mariano Phielipp, John A. Black Jr., Sethuraman Panchanathan
2004	—	`conf`	Can the high-level content of natural images be indexed using local analysis? Human Vision and Electronic Imaging John A. Black Jr., Mariano Phielipp, Gregory M. Nielson, Sethuraman Panchanathan
2003	—	`conf`	Shrouds: Optimal Separating Surfaces for Enumerated Volumes. VisSym Gregory M. Nielson, Gary Graf, Ryan Holmes, Adam Huang, Mariano Phielipp