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2020 – today
- 2024
[c16]Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth:
Searching for High-Value Molecules Using Reinforcement Learning and Transformers. ICLR 2024- [i15]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 abs/2401.03306 (2024) - [i14]Uday Mallappa, Hesham Mostafa, Michael Galkin, Mariano Phielipp, Somdeb Majumdar:
FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs. CoRR abs/2405.05480 (2024) - [i13]Hesham Mostafa, Uday Mallappa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar:
PARSAC: Fast, Human-quality Floorplanning for Modern SoCs with Complex Design Constraints. CoRR abs/2405.05495 (2024) - 2023
- [j1]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): 2163-2173 (2023) - [c15]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: 3654-3671 - [i12]Ruihan Zhao, Ufuk Topcu, Sandeep Chinchali, Mariano Phielipp:
Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations. CoRR abs/2302.14242 (2023) - [i11]Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth:
Searching for High-Value Molecules Using Reinforcement Learning and Transformers. CoRR abs/2310.02902 (2023) - 2022
- [c14]Hassam Sheikh, Mariano Phielipp, Ladislau Bölöni:
Maximizing Ensemble Diversity in Deep Reinforcement Learning. ICLR 2022 - [c13]Hassam Sheikh, Kizza Frisbee, Mariano Phielipp:
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning. ICML 2022: 19731-19746 - [c12]Brandon Trabucco, Mariano Phielipp, Glen Berseth:
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology. ICML 2022: 21677-21691 - [c11]Hassam Ullah Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar, Mariano Phielipp:
Learning Intrinsic Symbolic Rewards in Reinforcement Learning. IJCNN 2022: 1-8 - [i10]Hassam Sheikh, Kizza Frisbee, Mariano Phielipp:
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning. CoRR abs/2201.13357 (2022) - [i9]Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic:
Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design. CoRR abs/2203.15913 (2022) - [i8]Anurag Koul, Mariano Phielipp, Alan Fern:
Offline Policy Comparison with Confidence: Benchmarks and Baselines. CoRR abs/2205.10739 (2022) - [i7]Brandon Trabucco, Mariano Phielipp, Glen Berseth:
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology. CoRR abs/2206.12279 (2022) - [i6]Austin H. Cheng, Andy Cai, Santiago Miret, Gustavo Malkomes, Mariano Phielipp, Alán Aspuru-Guzik:
Group SELFIES: A Robust Fragment-Based Molecular String Representation. CoRR abs/2211.13322 (2022) - 2021
- [i5]Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar:
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization. CoRR abs/2106.07611 (2021) - [i4]Varun Kumar Vijay, Hassam Sheikh, Somdeb Majumdar, Mariano Phielipp:
Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning. CoRR abs/2106.08482 (2021) - 2020
- [c10]Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg:
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. ICRA 2020: 2174-2181 - [c9]Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro:
Instance-based Generalization in Reinforcement Learning. NeurIPS 2020 - [i3]Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg:
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. CoRR abs/2006.00545 (2020) - [i2]Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro:
Instance based Generalization in Reinforcement Learning. CoRR abs/2011.01089 (2020)
2010 – 2019
- 2019
- [c8]Yiming Ding, Carlos Florensa, Pieter Abbeel, Mariano Phielipp:
Goal-conditioned Imitation Learning. NeurIPS 2019: 15298-15309 - [i1]Yiming Ding, Carlos Florensa, Mariano Phielipp, Pieter Abbeel:
Goal-conditioned Imitation Learning. CoRR abs/1906.05838 (2019) - 2011
- [c7]Avneesh Singh Saluja, Frank Mokaya, Mariano Phielipp, Branislav Kveton:
Automatic Identity Inference for Smart TVs. Lifelong Learning 2011 - 2010
- [c6]Mariano Phielipp, Magdiel Galan, Richard Lee, Branislav Kveton, Jeffrey Hightower:
Fast, Accurate, and Practical Identity Inference Using TV Remote Controls. IAAI 2010: 1827-1832
2000 – 2009
- 2007
- [c5]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: 2515-2520 - 2006
- [c4]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: 3906-3911 - [c3]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: 60571C - 2004
- [c2]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: 414-425 - 2003
- [c1]Gregory M. Nielson, Gary Graf, Ryan Holmes, Adam Huang, Mariano Phielipp:
Shrouds: Optimal Separating Surfaces for Enumerated Volumes. VisSym 2003: 75-84
Coauthor Index
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last updated on 2024-09-28 01:29 CEST by the dblp team
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