Providing SLOs for Resource-Harvesting VMs in Cloud Platforms. - 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 (OSDI, 2020)

Scouts: Improving the Diagnosis Process Through Domain-customized Incident Routing. - Jiaqi Gao; Nofel Yaseen; Robert MacDavid; Felipe Vieira Frujeri; Vincent Liu 001; Ricardo Bianchini; Ramaswamy Aditya; Xiaohang Wang 008; Henry Lee; David A. Maltz; Minlan Yu; Behnaz Arzani (SIGCOMM, 2020)

Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. - Nofel Yaseen; Behnaz Arzani; Krishna Chintalapudi; Vaishnavi Nattar Ranganathan; Felipe Vieira Frujeri; Kevin Hsieh; Daniel S. Berger; Vincent Liu 001; Srikanth Kandula (HotNets, 2021)

Prediction-Based Power Oversubscription in Cloud Platforms. - 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 (USENIX ATC, 2021)

MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control. - Nolan Wagener; Andrey Kolobov; Felipe Vieira Frujeri; Ricky Loynd; Ching-An Cheng; Matthew J. Hausknecht (NeurIPS, 2022)

The Sandbox Environment for Generalizable Agent Research (SEGAR). - R. Devon Hjelm; Bogdan Mazoure; Florian Golemo; Felipe Frujeri; Mihai Jalobeanu; Andrey Kolobov (CoRR, 2022)

Hindsight Learning for MDPs with Exogenous Inputs. - Sean R. Sinclair; Felipe Frujeri; Ching-An Cheng; Adith Swaminathan (CoRR, 2022)

Towards Data-Driven Offline Simulations for Online Reinforcement Learning. - Shengpu Tang; Felipe Vieira Frujeri; Dipendra Misra; Alex Lamb; John Langford 001; Paul Mineiro; Sebastian Kochman (CoRR, 2022)

PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining. - Garrett Thomas; Ching-An Cheng; Ricky Loynd; Felipe Vieira Frujeri; Vibhav Vineet; Mihai Jalobeanu; Andrey Kolobov (CoRL, 2023)

MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering. - Mahmoud Khademi; Ziyi Yang; Felipe Frujeri; Chenguang Zhu (EMNLP (Findings), 2023)

HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World. - 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 (ICCV, 2023)

Hindsight Learning for MDPs with Exogenous Inputs. - Sean R. Sinclair; Felipe Vieira Frujeri; Ching-An Cheng; Luke Marshall; Hugo de Oliveira Barbalho; Jingling Li; Jennifer Neville; Ishai Menache; Adith Swaminathan (ICML, 2023)

PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. - Rogerio Bonatti; Sai Vemprala; Shuang Ma; Felipe Frujeri; Shuhang Chen; Ashish Kapoor (IROS, 2023)

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. - Ida Momennejad; Hosein Hasanbeig; Felipe Vieira Frujeri; Hiteshi Sharma; Nebojsa Jojic; Hamid Palangi; Robert Osazuwa Ness; Jonathan Larson (NeurIPS, 2023)

DOTE: Rethinking (Predictive) WAN Traffic Engineering. - Yarin Perry; Felipe Vieira Frujeri; Chaim Hoch; Srikanth Kandula; Ishai Menache; Michael Schapira; Aviv Tamar (NSDI, 2023)

A Deep Learning Perspective on Network Routing. - Yarin Perry; Felipe Vieira Frujeri; Chaim Hoch; Srikanth Kandula; Ishai Menache; Michael Schapira; Aviv Tamar (CoRR, 2023)

Fine-Tuning Language Models with Advantage-Induced Policy Alignment. - Banghua Zhu; Hiteshi Sharma; Felipe Vieira Frujeri; Shi Dong; Chenguang Zhu; Michael I. Jordan; Jiantao Jiao (CoRR, 2023)

ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learning. - Hosein Hasanbeig; Hiteshi Sharma; Leo Betthauser; Felipe Vieira Frujeri; Ida Momennejad (CoRR, 2023)