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Scott W. Linderman

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

14

Venues

5

Active years

2014–2025

Best venue rank

A*

Where they publish

Papers

14 indexed papers, newest first.

YearVenueTitleAuthors
2025ICMLCost-efficient Collaboration between On-device and Cloud Language Models.Avanika Narayan, Dan Biderman, Sabri Eyuboglu, Avner May, Scott W. Linderman, James Zou, Christopher R
2023ICLRSimplified State Space Layers for Sequence Modeling.Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman
2023ICMLRevisiting Structured Variational Autoencoders.Yixiu Zhao, Scott W. Linderman
2022CogSciLooking into the past: Eye-tracking mental simulation in physical inference.Ari Beller, Yingchen Xu, Scott W. Linderman, Tobias Gerstenberg
2021AISTATSAnimal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model.Libby Zhang, Tim Dunn, Jesse Marshall, Bence Olveczky, Scott W. Linderman
2020ICMLA general recurrent state space framework for modeling neural dynamics during decision-making.David M. Zoltowski, Jonathan W. Pillow, Scott W. Linderman
2019ICLRTree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling.Josue Nassar, Scott W. Linderman, Mnica F. Bugallo, Il Memming Park
2018ACSSCLearning Structured Neural Dynamics From Single Trial Population Recording.Josue Nassar, Scott W. Linderman, Yuan Zhao, Mnica F. Bugallo, Il Memming Park
2018AISTATSReparameterizing the Birkhoff Polytope for Variational Permutation Inference.Scott W. Linderman, Gonzalo E. Mena, Hal James Cooper, Liam Paninski, John P. Cunningham
2018AISTATSVariational Sequential Monte Carlo.Christian A. Naesseth, Scott W. Linderman, Rajesh Ranganath, David M. Blei
2018ICLRLearning Latent Permutations with Gumbel-Sinkhorn Networks.Gonzalo E. Mena, David Belanger, Scott W. Linderman, Jasper Snoek
2017AISTATSBayesian 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
2017AISTATSReparameterization Gradients through Acceptance-Rejection Sampling Algorithms.Christian A. Naesseth, Francisco J. R. Ruiz, Scott W. Linderman, David M. Blei
2014ICMLDiscovering Latent Network Structure in Point Process Data.Scott W. Linderman, Ryan P. Adams