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Liam Paninski

37 papers · 2006–2025 · 5 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (19) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9) πŸ—ΊοΈ Taxonomy Completionist (21) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (9) 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (25) πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ’Ž Century Club (37) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (81) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (6)

Conferences

NIPS (25) AISTATS (5) ICML (5) ICLR (1) JMLR (1)

Top co-authors

John P. Cunningham (7) Ari Pakman (5) Scott Linderman (5) Yizi Zhang (3) Cole Hurwitz (3) Matthew Whiteway (3) Eleanor Batty (3) Ruoxi Sun (3) E. J. Chichilnisky (3) Eftychios A Pnevmatikakis (3)

Keywords

bayesian inference (8) variational inference (7) neural decoding (6) calcium imaging (5) spike sorting (5) posterior inference (4) bayesian decoding (3) gaussian process (3) neural population (3) real-time processing (2) time series (2) dimensionality reduction (2) optimal experimental design (2) brain-computer interface (2) information theory (2) markov chain monte carlo (2) neural dynamics (2) neural encoding (2) convex optimization (2) online learning (2)

Papers

In vivo cell-type and brain region classification via multimodal contrastive learning ICLR 2025
Neural Encoding and Decoding at Scale ICML 2025
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution NIPS 2024
Bayesian target optimisation for high-precision holographic optogenetics NIPS 2023
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes NIPS 2023
Towards robust and generalizable representations of extracellular data using contrastive learning NIPS 2023
A general linear-time inference method for Gaussian Processes on one dimension JMLR 2021
Three-dimensional spike localization and improved motion correction for Neuropixels recordings NIPS 2021
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking NIPS 2020
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations NIPS 2020
Neural Clustering Processes ICML 2020
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models NIPS 2019
Efficient characterization of electrically evoked responses for neural interfaces NIPS 2019
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos NIPS 2019
Scalable approximate Bayesian inference for particle tracking data ICML 2018
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference AISTATS 2018
Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems AISTATS 2017
Scalable Variational Inference for Super Resolution Microscopy AISTATS 2017
YASS: Yet Another Spike Sorter NIPS 2017
OnACID: Online Analysis of Calcium Imaging Data in Real Time NIPS 2017
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons NIPS 2017
Stochastic Bouncy Particle Sampler ICML 2017
Fast Active Set Methods for Online Spike Inference from Calcium Imaging NIPS 2016
Partition Functions from Rao-Blackwellized Tempered Sampling ICML 2016
Linear dynamical neural population models through nonlinear embeddings NIPS 2016
Automated scalable segmentation of neurons from multispectral images NIPS 2016
Clustered factor analysis of multineuronal spike data NIPS 2014
Robust learning of low-dimensional dynamics from large neural ensembles NIPS 2013
Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions NIPS 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NIPS 2013
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits NIPS 2013
A multi-agent control framework for co-adaptation in brain-computer interfaces NIPS 2013
Low rank continuous-space graphical models AISTATS 2012
Fast interior-point inference in high-dimensional sparse, penalized state-space models AISTATS 2012
Information Rates and Optimal Decoding in Large Neural Populations NIPS 2011
Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds NIPS 2008
Real-time adaptive information-theoretic optimization of neurophysiology experiments NIPS 2006