| Spectral gap-based deterministic tensor completion KD Harris, O López, A Read, Y Zhu 2023 International Conference on Sampling Theory and Applications (SampTA), 1-6, 2023 | 2 | 2023 |
| Modeling effects of variable preBötzinger complex network topology and cellular properties on opioid-induced respiratory depression and recovery GM Chou, NE Bush, RS Phillips, NA Baertsch, KD Harris bioRxiv, 2023.08. 29.555355, 2023 | | 2023 |
| Task-dependent optimal representations for cerebellar learning M Xie, S Muscinelli, KD Harris, A Litwin-Kumar bioRxiv, 2022.08.15.504040, 2022 | 16 | 2022 |
| BrainViewer: interacting with spatial connectome data at the mesoscale S Daetwiler, A Read, J Stillwell, KD Harris arXiv preprint arXiv:2205.02291, 2022 | | 2022 |
| Structured random receptive fields enable informative sensory encodings B Pandey, M Pachitariu, BW Brunton, KD Harris bioRxiv, 2021.09.09.459651, 2022 | 7 | 2022 |
| Spectral gap in random bipartite biregular graphs and applications G Brito, I Dumitriu, KD Harris Combinatorics, Probability, and Computing, 1-39, 2021 | 64 | 2021 |
| Nonparametric coalescent inference of mutation spectrum history and demography WS DeWitt, KD Harris, AP Ragsdale, K Harris Proceedings of the National Academy of Sciences 118 (21), e2013798118, 2021 | 37* | 2021 |
| Deterministic Tensor Completion with Hypergraph Expanders KD Harris, Y Zhu SIAM Journal on Mathematics of Data Science 3 (4), 1117-1140, 2021 | 8 | 2021 |
| Spectrum of sparse bipartite, biregular graphs with applications GBM De Oca, I Dumitriu, K Harris 2021 Spring Southeastern Virtual Sectional Meeting Abstract, 2021 | | 2021 |
| Time-varying autoregression with low-rank tensors KD Harris, A Aravkin, R Rao, BW Brunton SIAM Journal on Applied Dynamical Systems 20 (4), 2335-2358, 2021 | 16 | 2021 |
| Greedy Low-rank Connectome Regression P Benner, S Dolgov, KD Harris, P Kürschner XXI Householder Symposium on Numerical Linear Algebra, 111, 2020 | | 2020 |
| Unraveling the Different Network States of the Respiratory Network Using Experimental and Computational Approaches. NE Bush, N Baertsch, N Burgraff, K Harris, JM Ramirez The FASEB Journal 34 (S1), 1-1, 2020 | | 2020 |
| Centering data improves the dynamic mode decomposition SM Hirsh, KD Harris, JN Kutz, BW Brunton SIAM Journal on Applied Dynamical Systems 19 (3), 1920-1955, 2020 | 57 | 2020 |
| Greedy low-rank algorithm for spatial connectome regression P Kürschner, S Dolgov, KD Harris, P Benner The Journal of Mathematical Neuroscience 9, 1-22, 2019 | 5 | 2019 |
| Additive function approximation in the brain KD Harris NeurIPS, Real Neurons Hidden Units workshop, arXiv:1909.02603, 2019 | 8 | 2019 |
| High-resolution data-driven model of the mouse connectome JE Knox, KD Harris, N Graddis, JD Whitesell, H Zeng, JA Harris, ... Network Neuroscience 3 (1), 217-236, 2018 | 84 | 2018 |
| This Brain Is a Mess: Inference, Random Graphs, and Biophysics to Disentangle Neuronal Networks KD Harris | | 2018 |
| Different roles for inhibition in the rhythm-generating respiratory network KD Harris, T Dashevskiy, J Mendoza, AJ Garcia III, JM Ramirez, ... Journal of neurophysiology 118 (4), 2070-2088, 2017 | 39 | 2017 |
| Optimal degrees of synaptic connectivity A Litwin-Kumar, KD Harris, R Axel, H Sompolinsky, LF Abbott Neuron 93 (5), 1153-1164. e7, 2017 | 297 | 2017 |
| High resolution neural connectivity from incomplete tracing data using nonnegative spline regression KD Harris, S Mihalas, E Shea-Brown Advances in Neural Information Processing Systems 29, 2016 | 14 | 2016 |
Peter Sheridan DoddsProfessor/Director, Computational Story Lab, Vermont Complex Systems Center, UVMVerified email at uvm.edu
