Justin S. Smith

23 papers A* 5A 3Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Projected Hessian Learning: Fast Curvature Supervision for Accurate Machine-Learning Interatomic Potentials. CoRR Austin Rodriguez, Justin S. Smith, Sakib Matin, Nicholas Lubbers, Kipton Barros, Jose L. Mendoza-Cortes
2025	J	`jnl`	Improving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data Augmentation. J. Chem. Inf. Model. Luan G. F. dos Santos, Benjamin T. Nebgen, Alice E. A. Allen, Brenden W. Hamilton, Sakib Matin, Justin S. Smith, Richard A. Messerly
2025	J	`jnl`	Multi-fidelity learning for interatomic potentials: low-level forces and high-level energies are all you need Mach. Learn. Sci. Technol. Mitchell Messerly, Sakib Matin, Alice E. A. Allen, Benjamin T. Nebgen, Kipton Barros, Justin S. Smith, Nicholas Lubbers, Richard A. Messerly
2025	A	`conf`	Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE. HPDC Jesun Sahariar Firoz, Franco Pellegrini, Mario Geiger, Darren Hsu, Jenna A. Bilbrey, Han-Yi Chou, Maximilian Stadler, Markus Höhnerbach, Tingyu Wang, Dejun Lin, Emine Küçükbenli, Henry W. Sprueill, Ilyes Batatia, Sotiris S. Xantheas, MalSoon Lee, Christopher J. Mundy, Gábor Csányi, Justin S. Smith, Ponnuswamy Sadayappan, Sutanay Choudhury
2025	J	`jnl`	Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE. CoRR Jesun Firoz, Franco Pellegrini, Mario Geiger, Darren Hsu, Jenna A. Bilbrey, Han-Yi Chou, Maximilian Stadler, Markus Hoehnerbach, Tingyu Wang, Dejun Lin, Emine Küçükbenli, Henry W. Sprueill, Ilyes Batatia, Sotiris S. Xantheas, MalSoon Lee, Chris Mundy, Gábor Csányi, Justin S. Smith, Ponnuswamy Sadayappan, Sutanay Choudhury
2023	A*	`conf`	AeriaLPiPS: A Local Planner for Aerial Vehicles with Geometric Collision Checking. ICRA Justin S. Smith, Patricio A. Vela
2023	A*	`conf`	GPF-BG: A Hierarchical Vision-Based Planning Framework for Safe Quadrupedal Navigation. ICRA Shiyu Feng, Ziyi Zhou, Justin S. Smith, Max Asselmeier, Ye Zhao, Patricio A. Vela
2023	J	`jnl`	Uncertainty-driven dynamics for active learning of interatomic potentials. Nat. Comput. Sci. Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Ying Wai Li, Richard A. Messerly, Sergei Tretiak, Justin S. Smith, Benjamin T. Nebgen
2021	A	`conf`	NavTuner: Learning a Scene-Sensitive Family of Navigation Policies. IROS Haoxin Ma, Justin S. Smith, Patricio A. Vela
2021	J	`jnl`	NavTuner: Learning a Scene-Sensitive Family of Navigation Policies. CoRR Haoxin Ma, Justin S. Smith, Patricio A. Vela
2020	J	`jnl`	Automated discovery of a robust interatomic potential for aluminum. CoRR Justin S. Smith, Benjamin T. Nebgen, Nithin Mathew, Jie Chen, Nicholas Lubbers, Leonid Burakovsky, Sergei Tretiak, Hai Ah Nam, Timothy C. Germann, Saryu Fensin, Kipton Barros
2020	A*	`conf`	Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy. ICRA Yipu Zhao, Justin S. Smith, Sambhu H. Karumanchi, Patricio A. Vela
2020	J	`jnl`	Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy. CoRR Yipu Zhao, Justin S. Smith, Sambhu H. Karumanchi, Patricio A. Vela
2020	J	`jnl`	Good Graph to Optimize: Cost-Effective, Budget-Aware Bundle Adjustment in Visual SLAM. CoRR Yipu Zhao, Justin S. Smith, Patricio A. Vela
2020	J	`jnl`	TorchANI: A Free and Open Source PyTorch-Based Deep Learning Implementation of the ANI Neural Network Potentials. J. Chem. Inf. Model. Xiang Gao, Farhad Ramezanghorbani, Olexandr Isayev, Justin S. Smith, Adrian E. Roitberg
2020	A*	`conf`	egoTEB: Egocentric, Perception Space Navigation Using Timed-Elastic-Bands. ICRA Justin S. Smith, Ruoyang Xu, Patricio A. Vela
2019	J	`jnl`	Autonomous, Monocular, Vision-Based Snake Robot Navigation and Traversal of Cluttered Environments using Rectilinear Gait Motion. CoRR Alexander H. Chang, Shiyu Feng, Yipu Zhao, Justin S. Smith, Patricio A. Vela
2018	J	`jnl`	Learning to Navigate: Exploiting Deep Networks to Inform Sample-Based Planning During Vision-Based Navigation. CoRR Justin S. Smith, Jin-Ha Hwang, Fu-Jen Chu, Patricio A. Vela
2018	J	`jnl`	Less is more: sampling chemical space with active learning. CoRR Justin S. Smith, Ben Nebgen, Nicholas Lubbers, Olexandr Isayev, Adrian E. Roitberg
2017	J	`jnl`	ANI-1: A data set of 20M off-equilibrium DFT calculations for organic molecules. CoRR Justin S. Smith, Olexandr Isayev, Adrian E. Roitberg
2017	A*	`conf`	PiPS: Planning in perception space. ICRA Justin S. Smith, Patricio A. Vela
2015	A	`conf`	Real-time changes to social dynamics in human-robot turn-taking. IROS Justin S. Smith, Crystal Chao, Andrea Lockerd Thomaz
2014	—	`conf`	CADENCE for Collaboration and Companionship with Robots. AAAI Fall Symposia Crystal Chao, Justin S. Smith, Andrea Thomaz