Deep multimodal fusion for persuasiveness prediction. - Behnaz Nojavanasghari; Deepak Gopinath; Jayanth Koushik; Tadas Baltrusaitis; Louis-Philippe Morency (ICMI, 2016)

A Robotic Prosthesis for an Amputee Drummer. - Mason Bretan; Deepak Gopinath; Philip Mullins; Gil Weinberg (CoRR, 2016)

A generative physical model approach for enhancing the stroke palette for robotic drummers. - Deepak Gopinath; Gil Weinberg (Robotics Auton. Syst., 2016)

Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade. - Juan Pino 001; Liezl Puzon; Jiatao Gu; Xutai Ma; Arya D. McCarthy; Deepak Gopinath (IWSLT, 2019)

Leveraging Out-of-Task Data for End-to-End Automatic Speech Translation. - Juan Miguel Pino; Liezl Puzon; Jiatao Gu; Xutai Ma; Arya D. McCarthy; Deepak Gopinath (CoRR, 2019)

A scalable approach to control diverse behaviors for physically simulated characters. - Jungdam Won; Deepak Gopinath; Jessica K. Hodgins (ACM Trans. Graph., 2020)

Control strategies for physically simulated characters performing two-player competitive sports. - Jungdam Won; Deepak Gopinath; Jessica K. Hodgins (ACM Trans. Graph., 2021)

Transformer Inertial Poser: Real-time Human Motion Reconstruction from Sparse IMUs with Simultaneous Terrain Generation. - Yifeng Jiang 002; Yuting Ye; Deepak Gopinath; Jungdam Won; Alexander W. Winkler; C. Karen Liu (SIGGRAPH Asia, 2022)

Motion In-betweening for Physically Simulated Characters. - Deepak Gopinath; Hanbyul Joo; Jungdam Won (SIGGRAPH Asia Posters, 2022)

Transformer Inertial Poser: Attention-based Real-time Human Motion Reconstruction from Sparse IMUs. - Yifeng Jiang 002; Yuting Ye; Deepak Gopinath; Jungdam Won; Alexander W. Winkler; C. Karen Liu (CoRR, 2022)

Physics-based character controllers using conditional VAEs. - Jungdam Won; Deepak Gopinath; Jessica K. Hodgins (ACM Trans. Graph., 2022)

CIRCLE: Capture In Rich Contextual Environments. - João Pedro Araújo; Jiaman Li; Karthik Vetrivel; Rishi Agarwal; Jiajun Wu 001; Deepak Gopinath; Alexander Clegg; C. Karen Liu (CVPR, 2023)

Simulation and Retargeting of Complex Multi-Character Interactions. - Yunbo Zhang; Deepak Gopinath; Yuting Ye; Jessica K. Hodgins; Greg Turk; Jungdam Won (SIGGRAPH (Conference Paper Track), 2023)

Leveraging Demonstrations with Latent Space Priors. - Jonas Gehring; Deepak Gopinath; Jungdam Won; Andreas Krause 001; Gabriel Synnaeve; Nicolas Usunier (Trans. Mach. Learn. Res., 2023)

Apple Intelligence Foundation Language Models. - Tom Gunter; Zirui Wang; Chong Wang; Ruoming Pang; Andy Narayanan; Aonan Zhang; Bowen Zhang 002; Chen Chen 005; Chung-Cheng Chiu; David Qiu; Deepak Gopinath; Dian Ang Yap; et al. (CoRR, 2024)

Interleaved Reasoning for Large Language Models via Reinforcement Learning. - Roy Xie; David Qiu; Deepak Gopinath; Dong Lin; Yanchao Sun; Chong Wang; Saloni Potdar; Bhuwan Dhingra (CoRR, 2025)

Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives. - Kwok P. Chun; Thanti Octavianti; Nilay Dogulu; Hristos Tyralis; Georgia Papacharalampous; Ryan Rowberry; Pingyu Fan; Mark Everard; Maria Francesch-Huidobro; Wellington Migliari; David M. Hannah; John Travis Marshall; et al. (WIREs Data. Mining. Knowl. Discov., 2025)