Liam Paninski

Full Professor, Columbia University

Joined

December 2017

Names

Liam Paninski

Emails

****@stat.columbia.edu (Confirmed)

Personal Links

Career & Education History

Full Professor

Columbia University (columbia.edu)

Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

An uncertainty-aware framework for data-efficient multi-view animal pose estimation
Lenny Aharon, Keemin Lee, Karan Sikka, Selmaan N. Chettih, Cole Lincoln Hurwitz, Liam Paninski, Matthew R Whiteway
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
A cross-species neural foundation model for end-to-end speech decoding
Yizi Zhang, Linyang He, Chaofei Fan, Tingkai Liu, Han Yu, Trung Le, Jingyuan Li, Scott Linderman, Lea Duncker, Francis R Willett, Nima Mesgarani, Liam Paninski
- ICLR 2026 Poster
- Readers: Everyone
Animal behavioral analysis and neural encoding with transformer-based self-supervised pretraining
Yanchen Wang, Han Yu, Ari Blau, Yizi Zhang, International Brain Laboratory, Liam Paninski, Cole Lincoln Hurwitz, Matthew R Whiteway
- ICLR 2026 Poster
- Readers: Everyone
Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets
Ji Xia, Yizi Zhang, Shuqi Wang, Genevera I. Allen, Liam Paninski, Cole Lincoln Hurwitz, Kenneth D. Miller
- NeurIPS 2025 poster
- Readers: Everyone
Simultaneous multi-plane imaging of neural circuits
Weijian Yang, Jae-eun Kang Miller, Luis Carrillo-Reid, Eftychios A. Pnevmatikakis, Liam Paninski, Rafael Yuste, Darcy S. Peterka
- Neuron
- Readers: Everyone
Simultaneous denoising, deconvolution, and demixing of calcium imaging data
Weijian Yang, Eftychios A. Pnevmatikakis, Daniel Soudry, Yuanjun Gao, Josh Merel, David Pfau, Misha B. Ahrens, Darcy S. Peterka, Rafael Yuste, Liam Paninski
- Neuron
- Readers: Everyone
Neural Encoding and Decoding at Scale
Yizi Zhang, Yanchen Wang, Mehdi Azabou, Alexandre Andre, Zixuan Wang, Hanrui Lyu, International Brain Laboratory, Eva L Dyer, Liam Paninski, Cole Lincoln Hurwitz
- ICML 2025 spotlightposter
- Readers: Everyone
In vivo cell-type and brain region classification via multimodal contrastive learning
Han Yu, Hanrui Lyu, YiXun Xu, Charlie Windolf, Eric Kenji Lee, Fan Yang, Andrew M Shelton, Olivier Winter, International Brain Laboratory, Eva L Dyer, Chandramouli Chandrasekaran, Nicholas A. Steinmetz, Liam Paninski, Cole Lincoln Hurwitz
- ICLR 2025 Spotlight
- Readers: Everyone
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools
Dan Biderman, Matthew R Whiteway, Cole Lincoln Hurwitz, Nicholas R Greenspan, Robert S Lee, Ankit Vishnubhotla, Michael Schartner, Julia M Huntenburg, Anup Khanal, Guido T Meijer, Jean-Paul G Noel, Alejandro Pan-Vazquez, Karolina Z Socha, Anne E Urai, International Brain Laboratory, Richard Warren, Dillon Noone, Federico Pedraja, John Patrick Cunningham, Nathaniel Sawtell et al. (1 additional authors not shown)
- Nature Methods
- Readers: Everyone
Amortized Probabilistic Detection of Communities in Graphs
Yueqi Wang, Yoonho Lee, Pallab Basu, Juho Lee, Yee Whye Teh, Liam Paninski, Ari Pakman
- 2nd SPIGM @ ICML Poster
- Readers: Everyone

View all 41 publications

Co-Authors

View all 138 co-authors