Motion Strategies for Surveillance. - Sourabh Bhattacharya; Salvatore Candido; Seth Hutchinson 001 (Robotics: Science and Systems, 2007)

An improved hierarchical motion planner for humanoid robots. - Salvatore Candido; Yong-Tae Kim; Seth Hutchinson 001 (Humanoids, 2008)

Detecting intrusion faults in remotely controlled systems. - Salvatore Candido; Seth Hutchinson 001 (ACC, 2009)

Exploiting domain knowledge in planning for uncertain robot systems modeled as POMDPs. - Salvatore Candido; James C. Davidson; Seth Hutchinson 001 (ICRA, 2010)

Minimum uncertainty robot path planning using a POMDP approach. - Salvatore Candido; Seth Hutchinson 001 (IROS, 2010)

Minimum uncertainty robot navigation using information-guided POMDP planning. - Salvatore Candido; Seth Hutchinson 001 (ICRA, 2011)

Optimization for stochastic, partially observed systems using a sampling-based approach to learn switched policies - Salvatore Candido (2011)

Modelling search with a binary sensor utilizing self-conjugacy of the exponential family. - Devin Bonnie; Salvatore Candido; Timothy Bretl; Seth Hutchinson 001 (ICRA, 2012)

Automated segmentation of micro-CT images of bone formation in calcium phosphate scaffolds. - Samantha J. Polak; Salvatore Candido; Sheeny K. Lan Levengood; Amy J. Wagoner Johnson (Comput. Medical Imaging Graph., 2012)

Control and Planning of 3-D Dynamic Walking With Asymptotically Stable Gait Primitives. - Robert D. Gregg; Adam K. Tilton; Salvatore Candido; Timothy Bretl; Mark W. Spong (IEEE Trans. Robotics, 2012)

Autonomous navigation of stratospheric balloons using reinforcement learning. - Marc G. Bellemare; Salvatore Candido; Pablo Samuel Castro; Jun Gong; Marlos C. Machado; Subhodeep Moitra; Sameera S. Ponda; Ziyu Wang (Nat., 2020)

Sustainable AI: Environmental Implications, Challenges and Opportunities. - Carole-Jean Wu; Ramya Raghavendra; Udit Gupta; Bilge Acun; Newsha Ardalani; Kiwan Maeng; Gloria Chang; Fiona Aga Behram; James Huang; Charles Bai; Michael Gschwind; Anurag Gupta; et al. (CoRR, 2021)

Sustainable AI: Environmental Implications, Challenges and Opportunities. - Carole-Jean Wu; Ramya Raghavendra; Udit Gupta; Bilge Acun; Newsha Ardalani; Kiwan Maeng; Gloria Chang; Fiona Aga Behram; Jinshi Huang; Charles Bai; Michael Gschwind; Anurag Gupta; et al. (MLSys, 2022)

Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. - Colorado J. Reed; Ritwik Gupta; Shufan Li; Sarah Brockman; Christopher Funk; Brian Clipp; Kurt Keutzer; Salvatore Candido; Matt Uyttendaele; Trevor Darrell (ICCV, 2023)