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| Publications |
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Audeo: Audio Generation for a Silent Performance Video K. Su, X. Liu, E. Shlizerman Arxiv 2020 | Video |
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Which models to use for epidemic prediction? Erin Stafford, E. Shlizerman Medium Towards Data Science 2020 |
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BI-MAML: Balanced Incremental Approach for Meta Learning Y. Zheng, J. Xiang, K. Su, E. Shlizerman Arxiv 2020 | YouTube Video |
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Iterate and Cluster: Iterative Semi-Supervised Action Recognition J. Li, E. Shlizerman Arxiv 2020 | YouTube Video |
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Deep Reinforcement Learning for Neural Control J. Kim, E. Shlizerman Arxiv 2020 | YouTube Video |
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On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools R. Vogt*, M.P. Touzel*, E. Shlizerman**, G. Lajoie** Arxiv 2020 |
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Deep Reinforcement Learning of Extra-synaptic Control in C. elegans Chemosensory Response J. Kim, E. Shlizerman Cosyne 2020 |
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R-FORCE: Robust Learning for Random Recurrent Neural Networks Y. Zheng, E. Shlizerman Arxiv 2020 | GitHub Project (R-FORCE) |
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PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition K. Su, X. Liu, E. Shlizerman CVPR 2020 | Video | Medium Towards Data Science 2020 |
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Driving the connectome by-wire: “What would a synthetic connectome look like?” E. Shlizerman Physics of life reviews 2019 |
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Whole integration of neural connectomics, dynamics and bio-mechanics for identification of behavioral sensorimotor pathways in Caenorhabditis elegans J. Kim, J.A. Santos, M.J. Alkema, E. Shlizerman BioRxiv 2019 | Blog | Videos |
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Clustering and Recognition of Spatiotemporal Features through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks K. Su, E. Shlizerman Arxiv 2019 | GitHub Project (interpretseq2seq) |
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Neural Interactome: Interactive Simulation of a Neuronal System J. Kim, W. Leahy, E. Shlizerman Front Comp Neuro 2019 | Web Interface | GitHub Project |
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Optical frontend for a convolutional neural network S Colburn, Y Chu, E. Shlizerman, A Majumdar Applied Optics 2019 | Arxiv | GitHub Project |
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Audio to Body Dynamics E. Shlizerman, L.M. Dery, H. Schoen, and I. Kemelmacher-Shlizerman CVPR 2018 (Spotlight) | Project Webpage | GitHub Project |
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Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network of Caenorhabditis elegans H. Liu, J. Kim, E. Shlizerman Phil Trans Roy Soc B 2018 | bioRxiv |
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Classification of Fixed Point Network Dynamics From Multiple Node Timeseries Data D. Blaszka, E. Sanders, J. Riffell, E. Shlizerman Front Neuroinform. (2017) | Github |
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Fokas’s Unified Transform Method for linear systems B. Deconinck, Q. Guo, E. Shlizerman, V. Vasan Quarterly of Applied Mathematics (2017) | Arxiv |
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Multistability and Long-Timescale Transients Encoded by Network Structure in a Model of C. elegans Connectome Dynamics J. Kunert, E. Shlizerman, A. Walker, J. N. Kutz Front. Comp. Neuro. (2017) |
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Neural integration underlying a time-compensated sun compass in the migrating monarch butterfly E. Shlizerman, J. Phillips, D. Forger, S. Reppert Cell Reports 2016 | Project Webpage | Cell Press | UW News |
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Neural integration underlying a time-compensated sun compass in the migrating monarch butterfly E. Shlizerman, J. Phillips, D. Forger, S. Reppert Cosyne (2016), Oral presentation. |
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Symmetries constrain dynamics in a family of balanced neural networks A. Barreiro, J.N. Kutz and E. Shlizerman J. Math. Neuro. (2017), arXiv:1602.05092. |
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Closing the Loop: Optimal Stimulation of C. elegans Neuronal Network via Adaptive Control to Exhibit Full Body Movements J. Santos, E. Shlizerman BMC Neuroscience, CNS 2015 (Oral). |
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Inference of Functional Sub-Circuits in the Dynamical Connectome of the C. elegans Worm E. Shlizerman and S. G. Babb Cosyne (2015) |
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Identifying proxies for behavior in full-network C. elegans neural simulations J. Kunert, E. Shlizerman and J. N. Kutz Cosyne (2015) |
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Flower discrimination by pollinators in a dynamic chemical environment J. Riffell, E. Shlizerman, E. Sanders, L. Abrell, B. Medina, A. J. Hinterwirth, and J. N. Kutz Science (2014) | Project Webpage | Science Perspective | Science Highlight | UW News |
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Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe E. Shlizerman, J. Riffell and J. N. Kutz, Front. Comp. Neuro. (2014) | Project Webpage | arXiv:1311.7450 (2013). |
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Low-dimensional functionality of complex network dynamics: Neuro-sensory integration in the C. elegans connectome J. Kunert, E. Shlizerman, and J. N. Kutz, Phys. Rev. E, 89, 052805 (2014) arXiv: :1310.6689 (2013). |
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Competing spatiotemporal neural codes in the olfaction of the Manduca sexta moth E. Shlizerman, J. Riffell and J. N. Kutz, BMC Neuroscience / CNS Proc. (2012) Pdf |
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Neural dynamics, bifurcations and firing rates in a quadratic integrate-and-fire model with a recovery variable. I: deterministic behavior E. Shlizerman and P. Holmes, Neural Computation 24(8), 2078–2118 (2012). Pdf |
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Neural Activity Measures and Their Dynamics E. Shlizerman, K. Schroder and J. N. Kutz SIAM J. Appl. Math., 72(4), 1260–1291 (2012). Pdf |
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The Low Dimensionality of Time-Periodic Standing Waves in Water of Finite and Infinite Depth M.O. Williams, E. Shlizerman, J. Wilkening, and J.N. Kutz, SIAM J. App. Dyn. Sys., 11(3), 1033-1061 (2012). |
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The Proper Orthogonal Decomposition for Dimensionality Reduction in Mode-Locked Lasers and Optical Systems E. Shlizerman, E. Ding, M.O. Williams and J.N. Kutz Int. J. of Optics, 831604 (2012). Pdf |
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Continuation of Periodic Solutions in the Waveguide Array Mode-Locked Laser M.O. Williams, J. Wilkening, E. Shlizerman and J.N. Kutz Physica D, 240, 1791-1804 (2011). Pdf |
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Characterizing and suppressing multi-pulsing instabilities in mode-locked lasers E. Shlizerman, E. Ding, M.O. Williams and J.N. Kutz Proc. of Phot. West (2011) Pdf |
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A Generalized Master Equation for High-Energy Passive Mode-Locking: The Sinusoidal Ginzburg-Landau Equation E. Ding, E. Shlizerman, and J. N. Kutz IEEE J. of Quant. Elec., 47:5, 705-714 (2011) |
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The Multi-Pulsing Transition in Mode-Locked Lasers: A Low-Dimensional Approach using Waveguide Arrays M.O. Williams, E. Shlizerman and J.N. Kutz J. Opt. Soc. Am. B, 27, 2471-2481 (2010) |
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Modeling Multi-Pulsing Transition in Ring Cavity Lasers with Proper Orthogonal Decomposition E. Ding, E. Shlizerman and J.N. Kutz Phys. Rev. A, 82, 023823 (2010). |
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Classification of solutions of the forced periodic nonlinear Schrödinger equation E. Shlizerman and V. Rom-Kedar, Nonlinearity (In highly downloaded collection 2010), 23, 2183-2218 (2010). |
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Parabolic Resonance: A Route to Hamiltonian Spatio-Temporal Chaos E. Shlizerman and V. Rom-Kedar, Physical Review Letters, 102, 033901 (2009). |
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Symmetry Breaking Bifurcation in the Nonlinear Schrödinger - Gross-Pitaevskii Equations E.W. Kirr, P. Kevrekides, E. Shlizerman and M.I. Weinstein SIAM J. Math. Anal. (SIMA), Volume 40, Issue 2, pp. 566-604 (2008). |
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Three types of chaos in the forced nonlinear Schrödinger equation E. Shlizerman and V. Rom-Kedar, Physical Review Letters, 96, 024104 (2006). Pdf Webpage (includes Movies) |
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Characterization of Orbits in the Truncated Nonlinear Schrödinger Model E. Shlizerman and V. Rom-Kedar, ENOC-2005, Fifth EUROMECH Nonlinear Dynamics Conference. Webpage |
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Hierarchy of bifurcations in the truncated and forced NLS model E. Shlizerman and V. Rom-Kedar, CHAOS, 15(1), March, 2005. Pdf Webpage |
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Energy surfaces and Hierarchies of bifurcations - Instabilities in the forced truncated NLS E. Shlizerman and V. Rom-Kedar, Chaotic Dynamics and Transport in Classical and Quantum Systems, 2005. Pdf Webpage |