John P. Cunningham

Oak Ridge National Laboratory — United States

Neuroscience · Life Sciences

44h-index13.6kcitations191works20.32yr avg
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Research Topics

Neural dynamics and brain function(61), EEG and Brain-Computer Interfaces(44), Gaussian Processes and Bayesian Inference(43), Neural Networks and Applications(29), Neuroscience and Neural Engineering(23)

Publications190 total

Reverse Diffusion Sequential Monte Carlo Samplers
arXiv (Cornell University)·2025Open Access
ALICE-USA Barrel Tracking Upgrade (Project Final Report)
2025
Bayesian Invariance Modeling of Multi-Environment Data
arXiv (Cornell University)·2025Open Access
Variational Deep Learning via Implicit Regularization
arXiv (Cornell University)·2025Open Access
Scalable Differentially Private Bayesian Optimization
arXiv (Cornell University)·2025Open Access
Author response: An emerging view of neural geometry in motor cortex supports high-performance decoding
2025Open Access
An emerging view of neural geometry in motor cortex supports high-performance decoding
eLife·2025· 1 citedOpen Access
An emerging view of neural geometry in motor cortex supports high-performance decoding
2024· 1 citedOpen Access
Author response: An emerging view of neural geometry in motor cortex supports high-performance decoding
2024Open Access
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
arXiv (Cornell University)·2024Open Access
Theoretical Limitations of Ensembles in the Age of Overparameterization
arXiv (Cornell University)·2024Open Access
Estimating the Hallucination Rate of Generative AI
arXiv (Cornell University)·2024· 4 citedOpen Access
Approximation-Aware Bayesian Optimization
arXiv (Cornell University)·2024Open Access
LoRA Learns Less and Forgets Less
arXiv (Cornell University)·2024· 16 citedOpen Access
Identifying Interpretable Latent Factors with Sparse Component Analysis
2024· 7 citedOpen Access
Almanac — Retrieval-Augmented Language Models for Clinical Medicine
NEJM AI·2024· 287 citedOpen Access
Estimating the Hallucination Rate of Generative AI
2024· 1 cited
Reviewer #1 (Public Review): Simple decoding of behavior from a complicated neural manifold
2023Open Access
Reviewer #2 (Public Review): Simple decoding of behavior from a complicated neural manifold
2023Open Access
Simple decoding of behavior from a complicated neural manifold
2023· 5 citedOpen Access
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Frequent Co-authors

Mark M. Churchland(17), Krishna V. Shenoy(15), Byron M. Yu(8), Liam Paninski(8), Stephen I. Ryu(7), Matthew T. Kaufman(6), Maneesh Sahani(6), Gamaleldin F. Elsayed(6), Paul Nuyujukian(5), Vikash Gilja(5), Stephen I. Ryu(5), Gopal Santhanam(4), Antonio H. Lara(4), Shreya Saxena(4), Matthew R Whiteway(4), Abigail A. Russo(3), Sean M. Perkins(3), Jeffrey Seely(3), Rohan Shad(3), William Hiesinger(3)