J. Cunningham

Posterior Collapse and Latent Variable Non-identifiability
202389 citationsauthor #3
On the Normalizing Constant of the Continuous Categorical Distribution
20222 citationsauthor #4
Flexible neural control of motor units
202275 citationsauthor #8
On a novel probability distribution for zero-laden compositional data
20220 citationsauthor #3
Variational Nearest Neighbor Gaussian Processes
202217 citationsauthor #3
Mapping interstellar dust with Gaussian processes
20224 citationsauthor #4
Denoising Deep Generative Models
20228 citationsauthor #4
Posterior and Computational Uncertainty in Gaussian Processes
202222 citationsauthor #5
Deep Ensembles Work, But Are They Necessary?
202284 citationsauthor #5
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome
202214 citationsauthor #3
Rectangular Flows for Manifold Learning
202153 citationsauthor #4
Hierarchical Inducing Point Gaussian Process for Inter-domain Observations
20219 citationsauthor #6
Interrogating theoretical models of neural computation with emergent property inference
202124 citationsauthor #7
Posterior Predictive Null Checks
20211 citationsauthor #2
Bias-Free Scalable Gaussian Processes via Randomized Truncations
202123 citationsauthor #5
The Posterior Predictive Null
20212 citationsauthor #2
Predicting post-operative right ventricular failure using video-based deep learning
202156 citationsauthor #18
Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging
202146 citationsauthor #2
Motor cortex activity across movement speeds is predicted by network-level strategies for generating muscle activity
202173 citationsauthor #3
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders
202137 citationsauthor #9
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
202134 citationsauthor #4
Learning sparse log-ratios for high-throughput sequencing data
202134 citationsauthor #3
Simulating time to event prediction with spatiotemporal echocardiography deep learning
20210 citationsauthor #9
Reducing the Variance of Gaussian Process Hyperparameter Optimization with Preconditioning
20217 citationsauthor #4
The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective
202130 citationsauthor #2
A general linear-time inference method for Gaussian Processes on one dimension
202017 citationsauthor #3
Chronic, cortex-wide imaging of specific cell populations during behavior
202065 citationsauthor #9
Neural Trajectories in the Supplementary Motor Area and Motor Cortex Exhibit Distinct Geometries, Compatible with Different Classes of Computation.
2020152 citationsauthor #5
Paraphrase Generation with Latent Bag of Words
2020102 citationsauthor #3
Neuroscience Cloud Analysis As a Service
202017 citationsauthor #11
The continuous categorical: a novel simplex-valued exponential family
202023 citationsauthor #3
Value and choice as separable and stable representations in orbitofrontal cortex
202010 citationsauthor #3
Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning
202071 citationsauthor #4
Value and choice as separable and stable representations in orbitofrontal cortex
202032 citationsauthor #3
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking
202055 citationsauthor #16
Expectation Propagation as a Way of Life
202025 citationsauthor #8
Inverse articulated-body dynamics from video via variational sequential Monte Carlo
20203 citationsauthor #9
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations
202096 citationsauthor #3
Analyzing disentanglement of visual objects in semi-supervised neural networks
20190 citationsauthor #3
Approximating exponential family models (not single distributions) with a two-network architecture
20194 citationsauthor #2
Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography
20195 citationsauthor #3
Deep Random Splines for Point Process Intensity Estimation
201914 citationsauthor #2
Unsupervised Clusterless Decoding using a Switching Poisson Hidden Markov Model
20193 citationsauthor #3
The continuous Bernoulli: fixing a pervasive error in variational autoencoders
201994 citationsauthor #2
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
201940 citationsauthor #3
Interrogating theoretical models of neural computation with deep inference
201914 citationsauthor #7
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos
201991 citationsauthor #10
Towards the neural population doctrine.
2019295 citationsauthor #2
Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data
201970 citationsauthor #8
M L ] 1 4 M ar 2 01 6 Neuroprosthetic decoder training as imitation learning
20180 citationsauthor #4
Inhibitory and excitatory populations in parietal cortex are equally selective for decision outcome in both novices and experts
20185 citationsauthor #4
Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data
201829 citationsauthor #5
Bayesian estimation for large scale multivariate Ornstein-Uhlenbeck model of brain connectivity
20182 citationsauthor #2
A Probabilistic Model of Cardiac Physiology and Electrocardiograms
20180 citationsauthor #4
Calibrating Deep Convolutional Gaussian Processes
201844 citationsauthor #3
A Novel Variational Family for Hidden Nonlinear Markov Models
201816 citationsauthor #5
Excitatory and inhibitory subnetworks are equally selective during decision-making and emerge simultaneously during learning
2018113 citationsauthor #6
Conservation of preparatory neural events in monkey motor cortex regardless of how movement is initiated
2018102 citationsauthor #4
Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response.
2018288 citationsauthor #12
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
201752 citationsauthor #5
Annular Augmentation Sampling
20170 citationsauthor #3
Behaviorally Selective Engagement of Short-Latency Effector Pathways by Motor Cortex.
2017139 citationsauthor #5
Maximum Entropy Flow Networks
201729 citationsauthor #3
A Statistical Model of Shared Variability in the Songbird Auditory System
20172 citationsauthor #3
Conservation of preparatory neural events regardless of how movement is initiated
20175 citationsauthor #3
Structure in neural population recordings: an expected byproduct of simpler phenomena?
2017154 citationsauthor #2
Reorganization between preparatory and movement population responses in motor cortex
2016390 citationsauthor #5
Linear dynamical neural population models through nonlinear embeddings
2016165 citationsauthor #4
Elliptical Slice Sampling with Expectation Propagation
201613 citationsauthor #3
Automated scalable segmentation of neurons from multispectral images
201622 citationsauthor #6
Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays
201657 citationsauthor #6
Preconditioning Kernel Matrices
201678 citationsauthor #3
Bayesian Learning of Kernel Embeddings
201646 citationsauthor #3
Slice Sampling on Hamiltonian Trajectories
20164 citationsauthor #2
Tensor Analysis Reveals Distinct Population Structure that Parallels the Different Computational Roles of Areas M1 and V1
201656 citationsauthor #5
Sparse Estimation in a Correlated Probit Model
20150 citationsauthor #4
Neuroprosthetic Decoder Training as Imitation Learning
201515 citationsauthor #4
Single-trial dynamics of motor cortex and their applications to brain-machine interfaces
2015190 citationsauthor #5
Encoder-Decoder Optimization for Brain-Computer Interfaces
201528 citationsauthor #3
role of feedback control in brain-machine interfaces A closed-loop human simulator for investigating the
20150 citationsauthor #3
Bayesian Active Model Selection with an Application to Automated Audiometry
201543 citationsauthor #6
BLACK BOX VARIATIONAL INFERENCE FOR STATE SPACE MODELS
2015170 citationsauthor #4
Psychophysical Detection Testing with Bayesian Active Learning
201530 citationsauthor #5
Finding Sparse Features in Strongly Confounded Medical Binary Data
20150 citationsauthor #4
Sparse probit linear mixed model
201511 citationsauthor #4
High-dimensional neural spike train analysis with generalized count linear dynamical systems
201549 citationsauthor #4
Fast Kernel Learning for Multidimensional Pattern Extrapolation
2014150 citationsauthor #3
Unifying linear dimensionality reduction
201416 citationsauthor #1
Dimensionality reduction for large-scale neural recordings
20141,149 citationsauthor #1
Clustered factor analysis of multineuronal spike data
201433 citationsauthor #3
Expectation propagation as a way of life ∗
2014114 citationsauthor #8
A Dynamical Basis Set for Generating Reaches.
201430 citationsauthor #2
Analyzing neural data at huge scale
20145 citationsauthor #1
Image interpolation and denoising for division of focal plane sensors using Gaussian processes.
201445 citationsauthor #2
Statistical Research and Training Under the Brain Initiative
20142 citationsauthor #4
GP-grid image interpolation and denoising for division of focal plane sensors
20141 citationsauthor #2
Linear dimensionality reduction: survey, insights, and generalizations
2014636 citationsauthor #1
Bayesian Optimization with Inequality Constraints
2014555 citationsauthor #5
GPatt: Fast Multidimensional Pattern Extrapolation with Gaussian Processes
201321 citationsauthor #4
A Novel Method for Curvefitting the Stretched Exponential Function to Experimental Data.
201311 citationsauthor #2

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