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ORCIDFelipe Vieira Frujeri
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2020 – today
- 2023
[c12]Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov:
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining. CoRL 2023: 2624-2641- [c11]Mahmoud Khademi, Ziyi Yang, Felipe Frujeri, Chenguang Zhu:
MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering. EMNLP (Findings) 2023: 6571-6581 - [c10]Xin Wang, Taein Kwon
, Mahdi Rad, Bowen Pan, Ishani Chakraborty, Sean Andrist, Dan Bohus, Ashley Feniello, Bugra Tekin, Felipe Vieira Frujeri, Neel Joshi, Marc Pollefeys:
HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World. ICCV 2023: 20213-20224 - [c9]Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo de Oliveira Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan:
Hindsight Learning for MDPs with Exogenous Inputs. ICML 2023: 31877-31914 - [c8]Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor:
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. IROS 2023: 3621-3627 - [c7]Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Osazuwa Ness, Jonathan Larson:
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. NeurIPS 2023 - [c6]Yarin Perry, Felipe Vieira Frujeri, Chaim Hoch, Srikanth Kandula, Ishai Menache, Michael Schapira, Aviv Tamar:
DOTE: Rethinking (Predictive) WAN Traffic Engineering. NSDI 2023: 1557-1581 - [i12]Yarin Perry, Felipe Vieira Frujeri, Chaim Hoch, Srikanth Kandula, Ishai Menache, Michael Schapira, Aviv Tamar:
A Deep Learning Perspective on Network Routing. CoRR abs/2303.00735 (2023) - [i11]Banghua Zhu, Hiteshi Sharma, Felipe Vieira Frujeri, Shi Dong, Chenguang Zhu, Michael I. Jordan, Jiantao Jiao:
Fine-Tuning Language Models with Advantage-Induced Policy Alignment. CoRR abs/2306.02231 (2023) - [i10]Hosein Hasanbeig, Hiteshi Sharma, Leo Betthauser, Felipe Vieira Frujeri, Ida Momennejad:
ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learning. CoRR abs/2309.13701 (2023) - [i9]Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson:
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. CoRR abs/2309.15129 (2023) - [i8]Xin Wang, Taein Kwon, Mahdi Rad, Bowen Pan, Ishani Chakraborty, Sean Andrist, Dan Bohus, Ashley Feniello, Bugra Tekin, Felipe Vieira Frujeri, Neel Joshi, Marc Pollefeys:
HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World. CoRR abs/2309.17024 (2023) - 2022
- [c5]Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew J. Hausknecht:
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control. NeurIPS 2022 - [i7]R. Devon Hjelm, Bogdan Mazoure, Florian Golemo, Felipe Frujeri, Mihai Jalobeanu, Andrey Kolobov:
The Sandbox Environment for Generalizable Agent Research (SEGAR). CoRR abs/2203.10351 (2022) - [i6]Sean R. Sinclair, Felipe Frujeri, Ching-An Cheng, Adith Swaminathan:
Hindsight Learning for MDPs with Exogenous Inputs. CoRR abs/2207.06272 (2022) - [i5]Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew J. Hausknecht:
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control. CoRR abs/2208.07363 (2022) - [i4]Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor:
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. CoRR abs/2209.11133 (2022) - [i3]Shengpu Tang, Felipe Vieira Frujeri, Dipendra Misra, Alex Lamb, John Langford, Paul Mineiro, Sebastian Kochman:
Towards Data-Driven Offline Simulations for Online Reinforcement Learning. CoRR abs/2211.07614 (2022) - 2021
- [c4]Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Nattar Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula:
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. HotNets 2021: 38-44 - [c3]Alok Gautam Kumbhare, Reza Azimi, Ioannis Manousakis, Anand Bonde, Felipe Vieira Frujeri, Nithish Mahalingam, Pulkit A. Misra, Seyyed Ahmad Javadi, Bianca Schroeder, Marcus Fontoura, Ricardo Bianchini:
Prediction-Based Power Oversubscription in Cloud Platforms. USENIX ATC 2021: 473-487 - [i2]Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Nattar Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula:
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. CoRR abs/2110.05554 (2021) - 2020
- [c2]Pradeep Ambati, Iñigo Goiri, Felipe Vieira Frujeri, Alper Gun, Ke Wang, Brian Dolan, Brian Corell, Sekhar Pasupuleti, Thomas Moscibroda, Sameh Elnikety, Marcus Fontoura, Ricardo Bianchini:
Providing SLOs for Resource-Harvesting VMs in Cloud Platforms. OSDI 2020: 735-751 - [c1]Jiaqi Gao, Nofel Yaseen, Robert MacDavid, Felipe Vieira Frujeri, Vincent Liu, Ricardo Bianchini, Ramaswamy Aditya, Xiaohang Wang, Henry Lee, David A. Maltz, Minlan Yu, Behnaz Arzani:
Scouts: Improving the Diagnosis Process Through Domain-customized Incident Routing. SIGCOMM 2020: 253-269 - [i1]Alok Gautam Kumbhare, Reza Azimi, Ioannis Manousakis, Anand Bonde, Felipe Vieira Frujeri, Nithish Mahalingam, Pulkit A. Misra, Seyyed Ahmad Javadi, Bianca Schroeder, Marcus Fontoura, Ricardo Bianchini:
Prediction-Based Power Oversubscription in Cloud Platforms. CoRR abs/2010.15388 (2020)
Coauthor Index
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