Luiz Felipe Vecchietti

According to our database, Luiz Felipe Vecchietti authored at least 19 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Interpretable Machine Learning for Protein Science: Structure, Function, and Interactions.

Luiz Felipe Vecchietti, Minji Lee, Begench Hangeldiyev, Bryan Nathanael Wijaya, Hyunkyu Jung, Hahnbeom Park, Tae-Kyun Kim, Meeyoung Cha, Ho Min Kim

ACM Comput. Surv., August, 2026

Machine Behavior in Relational Moral Dilemmas: Moral Rightness, Predicted Human Behavior, and Model Decisions.

Jiseon Kim, Jea Kwon, Luiz Felipe Vecchietti, Wenchao Dong, Jaehong Kim, Meeyoung Cha

CoRR, April, 2026

Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment.

Jea Kwon, Luiz Felipe Vecchietti, Sungwon Park, Meeyoung Cha

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Exploring Persona-dependent LLM Alignment for the Moral Machine Experiment.

Jiseon Kim, Jea Kwon, Luiz Felipe Vecchietti, Alice Oh, Meeyoung Cha

CoRR, April, 2025

2024

Recent advances in interpretable machine learning using structure-based protein representations.

Luiz Felipe Vecchietti, Minji Lee, Begench Hangeldiyev, Hyunkyu Jung, Hahnbeom Park, Tae-Kyun Kim, Meeyoung Cha, Ho Min Kim

CoRR, 2024

Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space.

Minji Lee, Luiz Felipe Vecchietti, Hyunkyu Jung, Hyun Joo Ro, Meeyoung Cha, Ho Min Kim

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sensing Accident-Prone Features in Urban Scenes for Proactive Driving and Accident Prevention.

Sumit Mishra, Praveen Kumar Rajendran, Luiz Felipe Vecchietti, Dongsoo Har

IEEE Trans. Intell. Transp. Syst., September, 2023

2022

Sampling Rate Decay in Hindsight Experience Replay for Robot Control.

Luiz Felipe Vecchietti, Minah Seo, Dongsoo Har

IEEE Trans. Cybern., 2022

Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error.

Bumgeun Park, Taeyoung Kim, Woohyeon Moon, Luiz Felipe Vecchietti, Dongsoo Har

CoRR, 2022

A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective.

Praveen Kumar Rajendran, Quoc-Vinh Lai-Dang, Luiz Felipe Vecchietti, Dongsoo Har

CoRR, 2022

RELMOBNET: A Robust Two-Stage End-To-End Training Approach For MOBILENETV3 Based Relative Camera Pose Estimation.

Praveen Kumar Rajendran, Sumit Mishra, Luiz Felipe Vecchietti, Dongsoo Har

CoRR, 2022

RelMobNet: End-to-End Relative Camera Pose Estimation Using a Robust Two-Stage Training.

Praveen Kumar Rajendran, Sumit Mishra, Luiz Felipe Vecchietti, Dongsoo Har

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

AI World Cup: Robot-Soccer-Based Competitions.

Chansol Hong, In-Bae Jeong, Luiz Felipe Vecchietti, Dongsoo Har, Jong-Hwan Kim

IEEE Trans. Games, 2021

Two-stage training algorithm for AI robot soccer.

Taeyoung Kim, Luiz Felipe Vecchietti, Kyujin Choi, Sanem Sariel, Dongsoo Har

PeerJ Comput. Sci., 2021

2020

Power Management of Nanogrid Cluster with P2P Electricity Trading Based on Future Trends of Load Demand and PV Power Production.

Sangkeum Lee, Hojun Jin, Luiz Felipe Vecchietti, Junhee Hong, Ki-Bum Park, Dongsoo Har

CoRR, 2020

Batch Prioritization in Multigoal Reinforcement Learning.

Luiz Felipe Vecchietti, Taeyoung Kim, Kyujin Choi, Junhee Hong, Dongsoo Har

IEEE Access, 2020

Power Management by LSTM Network for Nanogrids.

Sangkeum Lee, Luiz Felipe Vecchietti, Hojun Jin, Junhee Hong, Dongsoo Har

IEEE Access, 2020

Short-Term Predictive Power Management of PV-Powered Nanogrids.

Sang-Keum Lee, Hojun Jin, Luiz Felipe Vecchietti, Junhee Hong, Dongsoo Har

IEEE Access, 2020

2019

Rewards Prediction-Based Credit Assignment for Reinforcement Learning With Sparse Binary Rewards.

Minah Seo, Luiz Felipe Vecchietti, Sangkeum Lee, Dongsoo Har

IEEE Access, 2019