Liam Paninski
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
7
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2023 | ICASSP | Multimodal Microscopy Image Alignment Using Spatial and Shape Information and a Branch-and-Bound Algorithm. | Shuonan Chen, Bovey Y. Rao, Stephanie Herrlinger, Attila Losonczy, Liam Paninski, Erdem Varol |
| 2023 | ICASSP | Robust Online Multiband Drift Estimation in Electrophysiology Data. | Charlie Windolf, Angelique C. Paulk, Yoav Kfir, Eric Trautmann, Domokos Meszna, William Muoz, Irene Caprara, Mohsen Jamali, Julien Boussard, Ziv M. Williams, Sydney S. Cash, Liam Paninski, Erdem Varol |
| 2021 | ICASSP | Decentralized Motion Inference and Registration of Neuropixel Data. | Erdem Varol, Julien Boussard, Nishchal Dethe, Olivier Winter, Anne E. Urai, International Brain Laboratory, Anne Churchland, Nick Steinmetz, Liam Paninski |
| 2021 | MICCAI | Non-parametric Vignetting Correction for Sparse Spatial Transcriptomics Images. | Bovey Y. Rao, Alexis M. Peterson, Elena K. Kandror, Stephanie Herrlinger, Attila Losonczy, Liam Paninski, Abbas H. Rizvi, Erdem Varol |
| 2020 | ICML | Neural Clustering Processes. | Ari Pakman, Yueqi Wang, Catalin Mitelut, Jin Hyung Lee, Liam Paninski |
| 2020 | MICCAI | Probabilistic Joint Segmentation and Labeling of C. elegans Neurons. | Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Oliver Hobert, Liam Paninski |
| 2020 | MICCAI | Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization. | Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Vivek Venkatachalam, Albert Lin, Aravinthan D. T. Samuel, Oliver Hobert, Liam Paninski |
| 2020 | MICCAI | Statistical Atlas of C. elegans Neurons. | Erdem Varol, Amin Nejatbakhsh, Ruoxi Sun, Gonzalo E. Mena, Eviatar Yemini, Oliver Hobert, Liam Paninski |
| 2018 | AISTATS | Reparameterizing the Birkhoff Polytope for Variational Permutation Inference. | Scott W. Linderman, Gonzalo E. Mena, Hal James Cooper, Liam Paninski, John P. Cunningham |
| 2018 | ICML | Scalable Approximate Bayesian Inference for Particle Tracking Data. | Ruoxi Sun, Liam Paninski |
| 2017 | AISTATS | Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems. | Scott W. Linderman, Matthew J. Johnson, Andrew C. Miller, Ryan P. Adams, David M. Blei, Liam Paninski |
| 2017 | AISTATS | Scalable Variational Inference for Super Resolution Microscopy. | Ruoxi Sun, Evan Archer, Liam Paninski |
| 2017 | ICLR | Multilayer Recurrent Network Models of Primate Retinal Ganglion Cell Responses. | Eleanor Batty, Josh Merel, Nora Brackbill, Alexander Heitman, Alexander Sher, Alan M. Litke, E. J. Chichilnisky, Liam Paninski |
| 2017 | ICML | Stochastic Bouncy Particle Sampler. | Ari Pakman, Dar Gilboa, David E. Carlson, Liam Paninski |
| 2016 | ICML | Partition Functions from Rao-Blackwellized Tempered Sampling. | David E. Carlson, Patrick Stinson, Ari Pakman, Liam Paninski |
| 2013 | ACSSC | Bayesian spike inference from calcium imaging data. | Eftychios A. Pnevmatikakis, Josh Merel, Ari Pakman, Liam Paninski |
| 2012 | CISS | Robust particle filters via sequential pairwise reparameterized Gibbs sampling. | Liam Paninski, Kamiar Rahnama Rad, Michael Vidne |