GLA in MediaEval 2018 Emotional Impact of Movies Task. - Jennifer J. Sun; Ting Liu 005; Gautam Prasad (MediaEval, 2018)

View-Invariant Probabilistic Embedding for Human Pose. - Jennifer J. Sun; Jiaping Zhao; Liang-Chieh Chen; Florian Schroff; Hartwig Adam; Ting Liu 005 (ECCV (5), 2020)

Learning Differentiable Programs with Admissible Neural Heuristics. - Ameesh Shah; Eric Zhan; Jennifer J. Sun; Abhinav Verma 001; Yisong Yue; Swarat Chaudhuri (NeurIPS, 2020)

EEV Dataset: Predicting Expressions Evoked by Diverse Videos. - Jennifer J. Sun; Ting Liu 005; Alan S. Cowen; Florian Schroff; Hartwig Adam; Gautam Prasad (CoRR, 2020)

Task Programming: Learning Data Efficient Behavior Representations. - Jennifer J. Sun; Ann Kennedy; Eric Zhan; Yisong Yue; Pietro Perona (CoRR, 2020)

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. - Long Zhao 003; Yuxiao Wang 001; Jiaping Zhao; Liangzhe Yuan; Jennifer J. Sun; Florian Schroff; Hartwig Adam; Xi Peng 005; Dimitris N. Metaxas; Ting Liu 005 (CVPR, 2021)

Task Programming: Learning Data Efficient Behavior Representations. - Jennifer J. Sun; Ann Kennedy; Eric Zhan; David J. Anderson; Yisong Yue; Pietro Perona (CVPR, 2021)

The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. - Jennifer J. Sun; Tomomi Karigo; Dipam Chakraborty; Sharada P. Mohanty; Benjamin Wild; Quan Sun; Chen Chen; David J. Anderson; Pietro Perona; Yisong Yue; Ann Kennedy (NeurIPS Datasets and Benchmarks, 2021)

The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. - Jennifer J. Sun; Tomomi Karigo; Dipam Chakraborty; Sharada P. Mohanty; David J. Anderson; Pietro Perona; Yisong Yue; Ann Kennedy (CoRR, 2021)

Interpreting Expert Annotation Differences in Animal Behavior. - Megan Tjandrasuwita; Jennifer J. Sun; Ann Kennedy; Swarat Chaudhuri; Yisong Yue (CoRR, 2021)

Self-Supervised Keypoint Discovery in Behavioral Videos. - Jennifer J. Sun; Serim Ryou; Roni H. Goldshmid; Brandon Weissbourd; John O. Dabiri; David J. Anderson; Ann Kennedy; Yisong Yue; Pietro Perona (CVPR, 2022)

Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis. - Albert Tseng; Jennifer J. Sun; Yisong Yue (CVPR, 2022)

Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Development. - Kevin Luxem; Jennifer J. Sun; Sean P. Bradley; Keerthi Krishnan; Talmo D. Pereira; Eric A. Yttri; Jan Zimmermann; Mark Laubach (CoRR, 2022)

Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings. - Sabera Talukder; Jennifer J. Sun; Matthew Leonard; Bingni W. Brunton; Yisong Yue (CoRR, 2022)

The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior. - Jennifer J. Sun; Andrew Ulmer; Dipam Chakraborty; Brian Geuther; Edward Hayes; Heng Jia; Vivek Kumar; Zachary Partridge; Alice Robie; Catherine E. Schretter; Chao Sun; Keith Sheppard; et al. (CoRR, 2022)

Neurosymbolic Programming for Science. - Jennifer J. Sun; Megan Tjandrasuwita; Atharva Sehgal; Armando Solar-Lezama; Swarat Chaudhuri; Yisong Yue; Omar Costilla-Reyes (CoRR, 2022)

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. - Jennifer J. Sun; Pierre Karashchuk; Amil Dravid; Serim Ryou; Sonia Fereidooni; John C. Tuthill; Aggelos K. Katsaggelos; Bingni W. Brunton; Georgia Gkioxari; Ann Kennedy; Yisong Yue; Pietro Perona (CoRR, 2022)

View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose. - Ting Liu 005; Jennifer J. Sun; Long Zhao 003; Jiaping Zhao; Liangzhe Yuan; Yuxiao Wang 001; Liang-Chieh Chen; Florian Schroff; Hartwig Adam (Int. J. Comput. Vis., 2022)

Unsupervised Learning of Neurosymbolic Encoders. - Eric Zhan; Jennifer J. Sun; Ann Kennedy; Yisong Yue; Swarat Chaudhuri (Trans. Mach. Learn. Res., 2022)

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. - Jennifer J. Sun; Lili Karashchuk; Amil Dravid; Serim Ryou; Sonia Fereidooni; John C. Tuthill; Aggelos K. Katsaggelos; Bingni W. Brunton; Georgia Gkioxari; Ann Kennedy; Yisong Yue; Pietro Perona (CVPR, 2023)

MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior. - Jennifer J. Sun; Markus Marks; Andrew Wesley Ulmer; Dipam Chakraborty; Brian Geuther; Edward Hayes; Heng Jia; Vivek Kumar; Sebastian Oleszko; Zachary Partridge; Milan Peelman; Alice Robie; et al. (ICML, 2023)

Neurosymbolic Grounding for Compositional World Models. - Atharva Sehgal; Arya Grayeli; Jennifer J. Sun; Swarat Chaudhuri (ICLR, 2024)

VideoPrism: A Foundational Visual Encoder for Video Understanding. - Long Zhao 003; Nitesh Bharadwaj Gundavarapu; Liangzhe Yuan; Hao Zhou 014; Shen Yan; Jennifer J. Sun; Luke Friedman; Rui Qian; Tobias Weyand; Yue Zhao 006; Rachel Hornung; Florian Schroff; et al. (ICML, 2024)

Video Creation by Demonstration. - Yihong Sun; Hao Zhou 014; Liangzhe Yuan; Jennifer J. Sun; Yandong Li; Xuhui Jia; Hartwig Adam; Bharath Hariharan; Long Zhao 003; Ting Liu 005 (CoRR, 2024)

Scaling 4D Representations. - João Carreira 001; Dilara Gokay; Michael King; Chuhan Zhang; Ignacio Rocco; Aravindh Mahendran; Thomas Keck; Joseph Heyward; Skanda Koppula; Etienne Pot; Goker Erdogan; Yana Hasson; et al. (CoRR, 2024)

AI for Scientists: Accelerating Discovery Through Knowledge, Data, and Learning. - Jennifer J. Sun (2024)

Self-Evolving Visual Concept Library using Vision-Language Critics. - Atharva Sehgal; Patrick Yuan; Ziniu Hu; Yisong Yue; Jennifer J. Sun; Swarat Chaudhuri (CVPR, 2025)

Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision. - Daniel Khalil; Christina Liu; Pietro Perona; Jennifer J. Sun; Markus Marks (WACV, 2025)

Pre-training Large Memory Language Models with Internal and External Knowledge. - Linxi Zhao; Sofian Zalouk; Christian K. Belardi; Justin Lovelace; Jin Peng Zhou; Kilian Q. Weinberger; Yoav Artzi; Jennifer J. Sun (CoRR, 2025)

Pre-trained Large Language Models Learn Hidden Markov Models In-context. - Yijia Dai; Zhaolin Gao; Yahya Sattar; Sarah Dean; Jennifer J. Sun (CoRR, 2025)

Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor. - Ethan Lin; Linxi Zhao; Atharva Sehgal; Jennifer J. Sun (CoRR, 2025)

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications. - Yana Hasson; Pauline Luc; Liliane Momeni; Maks Ovsjanikov; Guillaume Le Moing; Alina Kuznetsova; Ira Ktena; Jennifer J. Sun; Skanda Koppula; Dilara Gokay; Joseph Heyward; Etienne Pot; et al. (CoRR, 2025)