Kenny Chen

21 papers A* 3A 4Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Quantumly Fast and the Classically Forrious.
CoRR
Clément L. Canonne, Kenny Chen, Julián Mestre
2025 J jnl
An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments.
CoRR
Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Sung-Kyun Kim, Muhammad Fadhil Ginting, Xianmei Lei, Jeffrey A. Edlund, Seyed Abolfazl Fakoorian, Amanda Bouman, Fernando Chavez, Taeyeon Kim, Gustavo J. Correa, Maira Saboia, Angel Santamaria-Navarro, Brett T. Lopez, Boseong Kim, Chanyoung Jung, Mamoru Sobue, Oriana Peltzer, Joshua Ott, Robert Trybula, Thomas Touma, Marcel Kaufmann, Tiago Stegun Vaquero, Torkom Pailevanian, Matteo Palieri, Yun Chang, Andrzej Reinke, Matthew Anderson, Frederik E. T. Schöller, Patrick Spieler, Lillian Clark, Avak Archanian, Kenny Chen, Hovhannes Melikyan, Anushri Dixit, Harrison Delecki, Daniel Pastor, Barry Ridge, Nicolas Marchal, Jose Uribe, Sharmita Dey, Kamak Ebadi, Kyle Coble, Alexander Nikitas Dimopoulos, Vivek Thangavelu, Vivek Shankar Varadharajan, Nicholas Palomo, Antoni Rosinol, Arghya Chatterjee, Christoforos Kanellakis, Björn Lindqvist, Micah Corah, Kyle Strickland, Ryan Stonebraker, Michael Milano, Christopher E. Denniston, Sami Sahnoune, Thomas Claudet, Seungwook Lee, Gautam Salhotra, Edward Terry, Rithvik Musuku, Robin Schmid, Tony Tran, Ara Kourchians, Justin Schachter, Héctor Azpúrua, Levi Resende, Arash Kalantari, Jeremy Nash, Josh Lee, Christopher Patterson, Jennifer G. Blank, Kartik Patath, Yuki Kubo, Ryan Alimo, Yasin Almalioglu, Aaron Curtis, Jacqueline H. Sly, Tesla Wells, Nhut T. Ho, Mykel J. Kochenderfer, Giovanni Beltrame, George Nikolakopoulos, David Hyunchul Shim, Luca Carlone, Joel Burdick
2025 J jnl
With a Little Help From My Friends: Exploiting Probability Distribution Advice in Algorithm Design.
CoRR
Clément L. Canonne, Kenny Chen, Julián Mestre
2024 A* conf
Attribution Quality Metrics with Magnitude Alignment.
IJCAI
Chase Walker, Dominic Simon, Kenny Chen, Rickard Ewetz
2024 A* conf
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision.
AAAI
Chase Walker, Sumit Kumar Jha, Kenny Chen, Rickard Ewetz
2023 J jnl
Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments.
CoRR
Amanda Bouman, Joshua Ott, Sung-Kyun Kim, Kenny Chen, Mykel J. Kochenderfer, Brett T. Lopez, Ali-Akbar Agha-Mohammadi, Joel Burdick
2023 J jnl
Direct LiDAR-Inertial Odometry and Mapping: Perceptive and Connective SLAM.
CoRR
Kenny Chen, Ryan Nemiroff, Brett T. Lopez
2023 A* conf
Direct LiDAR-Inertial Odometry: Lightweight LIO with Continuous-Time Motion Correction.
ICRA
Kenny Chen, Ryan Nemiroff, Brett T. Lopez
2023 J jnl
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision.
CoRR
Chase Walker, Sumit Kumar Jha, Kenny Chen, Rickard Ewetz
2023 A conf
Joint On-Manifold Gravity and Accelerometer Intrinsics Estimation for Inertially Aligned Mapping.
IROS
Ryan Nemiroff, Kenny Chen, Brett T. Lopez
2023 J jnl
Joint On-Manifold Gravity and Accelerometer Intrinsics Estimation.
CoRR
Ryan Nemiroff, Kenny Chen, Brett T. Lopez
2022 A conf
Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments.
IROS
Amanda Bouman, Joshua Ott, Sung-Kyun Kim, Kenny Chen, Mykel J. Kochenderfer, Brett T. Lopez, Ali-Akbar Agha-Mohammadi, Joel Burdick
2022 J jnl
Direct LiDAR Odometry: Fast Localization With Dense Point Clouds.
IEEE Robotics Autom. Lett.
Kenny Chen, Brett T. Lopez, Ali-Akbar Agha-Mohammadi, Ankur Mehta
2022 J jnl
Direct LiDAR-Inertial Odometry.
CoRR
Kenny Chen, Ryan Nemiroff, Brett T. Lopez
2022 J jnl
Resilient and Consistent Multirobot Cooperative Localization With Covariance Intersection.
IEEE Trans. Robotics
Tsang-Kai Chang, Kenny Chen, Ankur Mehta
2021 J jnl
Direct LiDAR Odometry: Fast Localization with Dense Point Clouds.
CoRR
Kenny Chen, Brett T. Lopez, Ali-Akbar Agha-Mohammadi, Ankur Mehta
2021 J jnl
Resilient and consistent multirobot cooperative localization with covariance intersection.
CoRR
Tsang-Kai Chang, Kenny Chen, Ankur Mehta
2021 A conf
Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal Constraints.
IROS
Kenny Chen, Alexandra Pogue, Brett T. Lopez, Ali-Akbar Agha-Mohammadi, Ankur Mehta
2020 A conf
Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance.
IROS
Alexander Schperberg, Kenny Chen, Stephanie Tsuei, Michael Jewett, Joshua Hooks, Stefano Soatto, Ankur Mehta, Dennis W. Hong
2020 J jnl
Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance.
CoRR
Alexander Schperberg, Kenny Chen, Stephanie Tsuei, Michael Jewett, Joshua Hooks, Stefano Soatto, Ankur Mehta, Dennis W. Hong
2020 J jnl
Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal Constraints.
CoRR
Kenny Chen, Alexandra Pogue, Brett T. Lopez, Ali-Akbar Agha-Mohammadi, Ankur Mehta