X*: Anytime Multiagent Planning With Bounded Search. - Kyle Vedder; Joydeep Biswas (AAMAS, 2019)

X*: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs. - Kyle Vedder; Joydeep Biswas (Artif. Intell., 2021)

Sparse PointPillars: Exploiting Sparsity in Birds-Eye-View Object Detection. - Kyle Vedder; Eric Eaton (CoRR, 2021)

Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems. - Kyle Vedder; Eric Eaton (IROS, 2022)

ZeroFlow: Fast Zero Label Scene Flow via Distillation. - Kyle Vedder; Neehar Peri; Nathaniel Chodosh; Ishan Khatri; Eric Eaton; Dinesh Jayaraman; Yang Liu; Deva Ramanan; James Hays (CoRR, 2023)

A domain-agnostic approach for characterization of lifelong learning systems. - Megan M. Baker; Alexander New; Mario Aguilar-Simon; Ziad Al-Halah; Sébastien M. R. Arnold; Eseoghene Ben-Iwhiwhu; Andrew P. Brna; Ethan Brooks; Ryan C. Brown; Zachary Daniels; Anurag Reddy Daram; Fabien Delattre; et al. (Neural Networks, 2023)

I Can't Believe It's Not Scene Flow! - Ishan Khatri; Kyle Vedder; Neehar Peri; Deva Ramanan; James Hays (ECCV (18), 2024)

ZeroFlow: Scalable Scene Flow via Distillation. - Kyle Vedder; Neehar Peri; Nathaniel Chodosh; Ishan Khatri; Eric Eaton; Dinesh Jayaraman; Yang Liu; Deva Ramanan; James Hays (ICLR, 2024)

A collective AI via lifelong learning and sharing at the edge. - Andrea Soltoggio; Eseoghene Ben-Iwhiwhu; Vladimir Braverman; Eric Eaton; Benjamin Epstein; Yunhao Ge; Lucy Halperin; Jonathan P. How; Laurent Itti; Michael A. Jacobs; Pavan Kantharaju; Long Le; et al. (Nat. Mac. Intell., 2024)

Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model. - Long Le; Jason Xie; William Liang; Hung-Ju Wang; Yue Yang; Yecheng Jason Ma; Kyle Vedder; Arjun Krishna; Dinesh Jayaraman; Eric Eaton (ICLR, 2025)

Neural Eulerian Scene Flow Fields. - Kyle Vedder; Neehar Peri; Ishan Khatri; Siyi Li; Eric Eaton; Mehmet Kemal Kocamaz; Yue Wang; Zhiding Yu; Deva Ramanan; Joachim Pehserl (ICLR, 2025)

Toward Scalable, Flexible Scene Flow for Point Clouds. - Kyle Vedder (CoRR, 2025)