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ORCIDDavid M. Zoltowski
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- affiliation: Princeton University, Neuroscience Institute, NJ, USA
- affiliation: Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA
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2020 – today
- 2024
[c9]Orren Karniol-Tambour, David M. Zoltowski, E. Mika Diamanti, Lucas Pinto, Carlos D. Brody, David W. Tank, Jonathan W. Pillow:
Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems. ICLR 2024- [i3]Amber Hu, David M. Zoltowski, Aditya Nair, David Anderson, Lea Duncker, Scott W. Linderman:
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems. CoRR abs/2408.03330 (2024) - 2021
- [c8]Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath:
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. NeurIPS Datasets and Benchmarks 2021 - [c7]David M. Zoltowski, Diana Cai, Ryan P. Adams:
Slice Sampling Reparameterization Gradients. NeurIPS 2021: 23532-23544 - [i2]Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath:
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. CoRR abs/2109.04463 (2021) - 2020
- [c6]Stephen L. Keeley, David M. Zoltowski, Yiyi Yu
, Spencer L. Smith, Jonathan W. Pillow:
Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations. ICML 2020: 5177-5186 - [c5]David M. Zoltowski, Jonathan W. Pillow, Scott W. Linderman:
A general recurrent state space framework for modeling neural dynamics during decision-making. ICML 2020: 11680-11691
2010 – 2019
- 2019
- [i1]Stephen L. Keeley, David M. Zoltowski, Yiyi Yu, Jacob L. Yates, Spencer L. Smith, Jonathan W. Pillow:
Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations. CoRR abs/1906.03318 (2019) - 2018
- [c4]David M. Zoltowski, Jonathan W. Pillow:
Scaling the Poisson GLM to massive neural datasets through polynomial approximations. NeurIPS 2018: 3521-3531 - 2017
- [j1]Arash Golibagh Mahyari, David M. Zoltowski, Edward M. Bernat, Selin Aviyente:
A Tensor Decomposition-Based Approach for Detecting Dynamic Network States From EEG. IEEE Trans. Biomed. Eng. 64(1): 225-237 (2017) - 2014
- [c3]David M. Zoltowski, Neil K. Dhingra, Fu Lin, Mihailo R. Jovanovic:
Sparsity-promoting optimal control of spatially-invariant systems. ACC 2014: 1255-1260 - [c2]David M. Zoltowski, Edward M. Bernat, Selin Aviyente:
A graph theoretic approach to dynamic functional connectivity tracking and network state identification. EMBC 2014: 6004-6007 - [c1]David M. Zoltowski, Selin Aviyente:
Low-rank tensor decomposition based dynamic network tracking. GlobalSIP 2014: 468-472
Coauthor Index
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