Liam Paninski
37 papers · 2006–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+14 more ↓ Show less ↑
π§ Keyword Pioneer π Renaissance Researcher (9) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (21) π Conference Polyglot (5)
π
Interdisciplinary Bridge
π
Conference Polyglot
(5)
π
Renaissance Researcher
(9)
π
Keyword Trendsetter Combo
(4)
π
Conference Loyalist
(25)
π¬
Deep Specialist
(11)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π
Century Club
(37)
π
Conference Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(81)
β‘
Prolific Year
(5)
π₯
Unstoppable
(6)
Conferences
NIPS (25)
AISTATS (5)
ICML (5)
ICLR (1)
JMLR (1)
Top co-authors
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