rnn : Recurrent Library for Torch. - Nicholas Léonard; Sagar Waghmare; Yang Wang; Jin-Hwa Kim (CoRR, 2015)

FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients. - Jianyu Wang; Hang Qi; Ankit Singh Rawat; Sashank J. Reddi; Sagar Waghmare; Felix X. Yu; Gauri Joshi (CoRR, 2022)

Efficient Image Representation Learning with Federated Sampled Softmax. - Sagar M. Waghmare; Hang Qi; Huizhong Chen; Mikhail Sirotenko; Tomer Meron (CoRR, 2022)

SANPO: A Scene Understanding, Accessibility, Navigation, Pathfinding, Obstacle Avoidance Dataset. - Sagar M. Waghmare; Kimberly Wilber; Dave Hawkey; Xuan Yang; Matthew Wilson; Stephanie Debats; Cattalyya Nuengsigkapian; Astuti Sharma; Lars Pandikow; Huisheng Wang; Hartwig Adam; Mikhail Sirotenko (CoRR, 2023)

Extending Video Masked Autoencoders to 128 frames. - Nitesh Bharadwaj Gundavarapu; Luke Friedman; Raghav Goyal; Chaitra Hegde; Eirikur Agustsson; Sagar Waghmare; Mikhail Sirotenko; Ming-Hsuan Yang 001; Tobias Weyand; Boqing Gong; Leonid Sigal (NeurIPS, 2024)

SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset. - Sagar M. Waghmare; Kimberly Wilber; Dave Hawkey; Xuan Yang; Matthew Wilson; Stephanie Debats; Cattalyya Nuengsigkapian; Astuti Sharma; Lars Pandikow; Huisheng Wang; Hartwig Adam; Mikhail Sirotenko (WACV, 2025)

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities. - Gheorghe Comanici; Eric Bieber; Mike Schaekermann; Ice Pasupat; Noveen Sachdeva; Inderjit S. Dhillon; Marcel Blistein; Ori Ram; Dan Zhang; Evan Rosen; Luke Marris; Sam Petulla; et al. (CoRR, 2025)