Pinboard (cshalizi) https://pinboard.in/u:cshalizi/public/ recent bookmarks from cshalizi [2509.15855] What does it mean for a system to compute? 2026-01-30T12:10:27+00:00 https://arxiv.org/abs/2509.15855 cshalizi dynamical_systems computational_statistics physics_of_information wolpert.david_h. in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:afe7eeac6956/ Measure-Theoretic Time-Delay Embedding | Journal of Statistical Physics 2025-12-26T14:25:12+00:00 https://link.springer.com/article/10.1007/s10955-025-03555-1 cshalizi to:NB to_read state-space_reconstruction dynamical_systems stochastic_processes re:codename:catherine_wheel https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ddcab3885772/ Error Bounds in a Smooth Metric for Brownian Approximation of Dynamical Systems via Stein’s Method | Journal of Statistical Physics 2025-12-26T14:24:23+00:00 https://link.springer.com/article/10.1007/s10955-025-03547-1 cshalizi to:NB central_limit_theorem stochastic_processes dynamical_systems ergodic_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4134e9e7c64c/ Large Deviation Principle for Slow-Fast Systems with Infinite-Dimensional Mixed Fractional Brownian Motion | Journal of Statistical Physics 2025-12-26T14:22:29+00:00 https://link.springer.com/article/10.1007/s10955-025-03537-3 cshalizi to:NB dynamical_systems large_deviations stochastic_processes long-range_dependence https://pinboard.in/ https://pinboard.in/u:cshalizi/b:58caae221a90/ Maximal large deviations for sequential dynamical systems | Journal of Statistical Physics 2025-12-26T14:20:00+00:00 https://link.springer.com/article/10.1007/s10955-025-03546-2 cshalizi to:NB large_deviations extreme_values dynamical_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7b14f0809bdc/ For Differential Equations with r Parameters, 2r+1 Experiments Are Enough for Identification | Journal of Nonlinear Science 2025-12-11T19:25:13+00:00 https://link.springer.com/article/10.1007/s00332-002-0506-0 cshalizi to:NB have_read via:mraginsky have_read_decades_ago dynamical_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ffaae5a2b942/ Mathematical Models of Meaning: A Dynamic Systems Approach to Possible World Semiotics | Books Gateway | MIT Press 2025-11-05T20:10:28+00:00 https://direct.mit.edu/books/oa-monograph/6009/Mathematical-Models-of-MeaningA-Dynamic-Systems cshalizi to:NB books:noted semiotics semantics philosophy_of_mind dynamical_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7ef64e018c38/ Subshifts of finite type and sofic systems | Monatshefte für Mathematik 2025-08-08T03:11:31+00:00 https://link.springer.com/article/10.1007/BF01295322 cshalizi to:NB have_read sofic_processes symbolic_dynamics dynamical_systems markov_models automata_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e99618a1664e/ A brief introduction to Reservoir Computing | Francesco Martinuzzi 2025-08-07T15:03:08+00:00 https://martinuzzifrancesco.github.io/posts/a-brief-introduction-to-reservoir-computing/ cshalizito:NB to_read reservoir_computing dynamical_systems prediction re:codename:catherine_wheel https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b949b5cf35ce/ Frontiers | Learning from the past: reservoir computing using delayed variables 2025-08-07T15:02:29+00:00 https://www.frontiersin.org/journals/applied-mathematics-and-statistics/articles/10.3389/fams.2024.1221051/full cshalizi to:NB prediction dynamical_systems reservoir_computing parlitz.ulrich https://pinboard.in/ https://pinboard.in/u:cshalizi/b:127371a086a7/ Emerging opportunities and challenges for the future of reservoir computing | Nature Communications 2025-08-07T14:44:41+00:00 https://www.nature.com/articles/s41467-024-45187-1 cshalizi to:NB reservoir_computing re:codename:catherine_wheel to_read prediction dynamical_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:951abc62d069/ [2407.14781] Bernstein-von Mises theorems for time evolution equations 2025-07-28T14:19:44+00:00 https://arxiv.org/abs/2407.14781 cshalizi to:NB stochastic_processes dynamical_systems central_limit_theorem nickl.richard gaussian_processes bayesian_consistency https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4df4e0251977/ Attractors are usually not mechanisms - by Konrad Kording 2025-07-28T14:13:48+00:00 https://kording.substack.com/p/attractors-are-usually-not-mechanisms cshalizihave_read explanation neuroscience dynamical_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c73ea5935fa0/ [2505.13755] Panda: A pretrained forecast model for universal representation of chaotic dynamics 2025-06-15T16:04:59+00:00 https://arxiv.org/abs/2505.13755 cshalizi to:NB neural_networks large_language_models_(so_called) color_me_skeptical dynamical_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9f87c6cff54a/ [2409.12179] Computational Dynamical Systems 2025-01-22T15:37:19+00:00 https://arxiv.org/abs/2409.12179 cshalizi to:NB dynamical_systems computational_complexity via:mraginsky https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2e3e742c5941/ [2410.10103] Causal Discovery in Nonlinear Dynamical Systems using Koopman Operators 2024-10-21T12:54:10+00:00 https://arxiv.org/abs/2410.10103 cshalizi to_read causal_discovery dynamical_systems koopman_operators via:rvenkat in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3a66836a1377/ Dynamical systems that sort lists, diagonalize matrices, and solve linear programming problems - ScienceDirect 2023-05-22T18:19:08+00:00 https://www.sciencedirect.com/science/article/pii/002437959190021N cshalizi to:NB dynamical_systems linear_algebra optimization re:in_soviet_union_optimization_problem_solves_you brockett.r.w. via:mraginsky https://pinboard.in/ https://pinboard.in/u:cshalizi/b:26419d95ecee/ Dynamical Systems and their Associated Automata 2023-05-22T18:16:31+00:00 http://hrl.harvard.edu/publications/brockett94dynamical.pdf cshalizi to:NB automata_theory dynamical_systems re:dissertation brockett.r.w. via:mraginsky https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0fdd5dd9a411/ A Rational Route to Randomness on JSTOR 2023-05-08T19:12:32+00:00 https://www.jstor.org/stable/2171879 cshalizi have_read cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 economics learning_in_games prediction brock.william_a. hommes.cars dynamical_systems chaos in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:69c12a7b5294/ [2304.05794] Systemic risk measured by systems resiliency to initial shocks 2023-04-27T14:45:08+00:00 https://arxiv.org/abs/2304.05794 cshalizi to:NB networks dynamical_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cfa6a95f2b6b/ Finite automata-models for the investigation of dynamical systems - ScienceDirect 2023-04-24T22:07:58+00:00 https://www.sciencedirect.com/science/article/abs/pii/S0020019097001105 cshalizi to:NB have_read automata_theory dynamical_systems complexity_measures re:dissertation cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7be4910aff26/ Intrinsic fluctuations and a phase transition in a class of large populations of interacting oscillators | SpringerLink 2023-04-24T22:02:59+00:00 https://link.springer.com/article/10.1007/BF01025993 cshalizi to:NB networks dynamical_systems synchronization phase_transitions cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7d2f206d0789/ Phys. Rev. A 33, 1134 (1986) - Independent coordinates for strange attractors from mutual information 2023-04-24T21:53:56+00:00 https://journals.aps.org/pra/abstract/10.1103/PhysRevA.33.1134 cshalizi have_read state-space_reconstruction dynamical_systems time_series information_theory fraser.andrew_m. swinney.harry_l. have_taught cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7c8c3564ea61/ Phys. Rev. E 51, 3871 (1995) - Symbol sequence statistics in noisy chaotic signal reconstruction 2023-04-24T21:48:32+00:00 https://journals.aps.org/pre/abstract/10.1103/PhysRevE.51.3871 cshalizi symbolic_dynamics dynamical_systems time_series statistical_inference_for_stochastic_processes cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 have_read re:dissertation estimation in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:04d216b60071/ [nlin/0212015] Local dimension and finite time prediction in spatiotemporal chaotic systems 2023-04-24T21:46:32+00:00 https://arxiv.org/abs/nlin/0212015 cshalizi to_reread prediction spatio-temporal_statistics dynamical_systems factor_analysis cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 have_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a72594c17206/ [2201.05624] Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next 2023-03-24T18:51:29+00:00 https://arxiv.org/abs/2201.05624 cshalizi dynamical_systems simulation neural_networks differential_equations in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3f6c3e712506/ [2008.00690] Counting equilibria of large complex systems by instability index 2023-03-15T15:06:56+00:00 https://arxiv.org/abs/2008.00690 cshalizi to:NB dynamical_systems high-dimensional_probability https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d6fd3c8acda5/ Formal Definitions of Unbounded Evolution and Innovation Reveal Universal Mechanisms for Open-Ended Evolution in Dynamical Systems | Scientific Reports 2023-01-23T03:35:12+00:00 https://www.nature.com/articles/s41598-017-00810-8 cshalizi to:NB artificial_intelligence dynamical_systems emergence color_me_skeptical via:rvenkat https://pinboard.in/ https://pinboard.in/u:cshalizi/b:55f81a741912/ phaseR: An R Package for Phase Plane Analysis of Autonomous ODE Systems (Grayling, 2014) 2022-12-02T15:46:52+00:00 https://journal.r-project.org/archive/2014/RJ-2014-023/index.html cshalizi to:NB have_skimmed R dynamical_systems to_teach https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a925ecd44c4a/ Network structural origin of instabilities in large complex systems | Science Advances 2022-08-31T23:22:25+00:00 https://www.science.org/doi/10.1126/sciadv.abm8310 cshalizi to:NB dynamical_systems networks motter.adilson https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4311381b447f/ Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems 2022-07-15T12:27:42+00:00 https://jmlr.org/papers/v23/20-617.html cshalizi dynamical_systems equations_of_motion_from_a_time_series in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:83b6712533b8/ [2206.04217] Decomposition of Boolean networks: An approach to modularity of biological systems 2022-06-11T04:50:07+00:00 https://arxiv.org/abs/2206.04217 cshalizi to:NB gene_expression_data_analysis dynamical_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5fcfb6485173/ Rev. Mod. Phys. 94, 015005 (2022) - Collective nonlinear dynamics and self-organization in decentralized power grids 2022-06-06T13:04:31+00:00 https://journals.aps.org/rmp/abstract/10.1103/RevModPhys.94.015005 cshalizi dynamical_systems networks self-organization synchronization kurths.jurgen re:blackouts_and_alienation in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:436a84efd0d7/ [2203.06601] Dynamics on higher-order networks: A review 2022-06-06T12:57:44+00:00 https://arxiv.org/abs/2203.06601 cshalizi to:NB networks dynamical_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:39465def7bde/ [2008.02915] Kernel Ordinary Differential Equations 2022-02-15T14:55:41+00:00 https://arxiv.org/abs/2008.02915 cshalizi equations_of_motion_from_a_time_series dynamical_systems kernel_methods statistics nonparametrics splines in_NB have_skimmed https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8188454a9772/ [2107.11231] Optimization on manifolds: A symplectic approach 2021-08-17T14:16:01+00:00 https://arxiv.org/abs/2107.11231 cshalizidynamical_systems geometry optimization jordan.michael_i. via:rvenkat https://pinboard.in/ https://pinboard.in/u:cshalizi/b:879a72440557/ [2101.10242] Between Synchrony and Turbulence: Intricate Hierarchies of Coexistence Patterns 2021-08-06T15:39:24+00:00 https://arxiv.org/abs/2101.10242 cshalizi to:NB dynamical_systems synchronization https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ded08487b315/ Phys. Rev. E 104, 014409 (2021) - Choosing dynamical systems that predict weak input 2021-07-22T15:42:39+00:00 https://journals.aps.org/pre/abstract/10.1103/PhysRevE.104.014409 cshalizi to:NB prediction dynamical_systems design_for_a_brain https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4b0cfbc8d859/ [2106.00177] Solutions of the Multivariate Inverse Frobenius--Perron Problem 2021-07-01T13:31:55+00:00 https://arxiv.org/abs/2106.00177 cshalizi to:NB dynamical_systems ergodic_theory computational_statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cc12c18854a0/ [2106.08525] A Feynman-Kac Type Theorem for ODEs: Solutions of Second Order ODEs as Modes of Diffusions 2021-06-28T04:35:56+00:00 https://arxiv.org/abs/2106.08525 cshalizi to:NB stochastic_processes dynamical_systems path_integrals_for_classical_stochastic_processes https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a427215fa02e/ [2106.03523] A stylised view on structural and functional connectivity in dynamical processes in networks 2021-06-10T02:03:41+00:00 https://arxiv.org/abs/2106.03523 cshalizi to:NB dynamical_systems networks functional_connectivity synchronization https://pinboard.in/ https://pinboard.in/u:cshalizi/b:23617071a49b/ [2004.07774] Computing all identifiable functions of parameters for ODE models 2021-06-10T01:59:57+00:00 https://arxiv.org/abs/2004.07774 cshalizi to:NB partial_identification dynamical_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5bfa1f9f20be/ [1809.05243] Random Fixed Points, Limits and Systemic risk 2021-05-18T14:00:45+00:00 https://arxiv.org/abs/1809.05243 cshalizi to:NB dynamical_systems stochastic_processes macro_from_micro color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:27faf6ca4b62/ [2007.04890] Emergent stability in complex network dynamics 2021-05-13T14:11:22+00:00 https://arxiv.org/abs/2007.04890 cshalizi to:NB dynamical_systems networks color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:444ba86026f9/ Phys. Rev. E 103, 053304 (2021) - Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimization 2021-05-13T06:00:36+00:00 https://journals.aps.org/pre/abstract/10.1103/PhysRevE.103.053304 cshalizi optimization dynamical_systems in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3a8a4c951da0/ [2007.07447] Motifs for processes on networks 2021-05-12T18:32:10+00:00 https://arxiv.org/abs/2007.07447 cshalizi to:NB network_data_analysis dynamical_systems porter.mason_a. to_teach:baby-nets https://pinboard.in/ https://pinboard.in/u:cshalizi/b:71edf40dff9d/ Analysis and Interventions in Large Network Games | Annual Review of Control, Robotics, and Autonomous Systems 2021-05-06T13:49:30+00:00 https://www.annualreviews.org/doi/abs/10.1146/annurev-control-072020-084434 cshalizi to:NB dynamical_systems networks control_theory_and_control_engineering game_theory re:in_soviet_union_optimization_problem_solves_you https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4256d40d9911/ Model Reduction Methods for Complex Network Systems | Annual Review of Control, Robotics, and Autonomous Systems 2021-05-06T13:48:38+00:00 https://www.annualreviews.org/doi/abs/10.1146/annurev-control-061820-083817 cshalizi to:NB dynamical_systems networks dimension_reduction graph_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b03640a0c4ff/ Koopman Operators for Estimation and Control of Dynamical Systems | Annual Review of Control, Robotics, and Autonomous Systems 2021-05-06T13:46:57+00:00 https://www.annualreviews.org/doi/abs/10.1146/annurev-control-071020-010108 cshalizi dynamical_systems control_theory_and_control_engineering ergodic_theory in_NB koopman_operators https://pinboard.in/ https://pinboard.in/u:cshalizi/b:adc64525a4f6/ [2104.09299] Complex networks of interacting stochastic tipping elements: cooperativity of phase separation in the large-system limit 2021-04-21T19:45:48+00:00 https://arxiv.org/abs/2104.09299 cshalizi to:NB dynamical_systems networks macro_from_micro re:do-institutions-evolve to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f7b3f6fc4328/ [2005.10224] The Random Feature Model for Input-Output Maps between Banach Spaces 2021-04-20T13:21:08+00:00 https://arxiv.org/abs/2005.10224 cshalizi random_features analysis via:rvenkat approximation in_NB have_read dynamical_systems re:codename:catherine_wheel https://pinboard.in/ https://pinboard.in/u:cshalizi/b:81171133ef9a/ Phys. Rev. Lett. 126, 158102 (2021) - Collective Synchronous Spiking in a Brain Network of Coupled Nonlinear Oscillators 2021-04-18T15:48:15+00:00 https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.126.158102 cshalizi to:NB dynamical_systems synchronization neural_data_analysis neuroscience https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8d9a55d2591e/ Nonstationary space–time covariance functions induced by dynamical systems - Senoussi - - Scandinavian Journal of Statistics - Wiley Online Library 2021-04-12T03:43:08+00:00 https://onlinelibrary.wiley.com/doi/abs/10.1111/sjos.12513 cshalizi to:NB spatio-temporal_statistics variance_estimation dynamical_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9c55ada68f8c/ [2012.05202] Tâtonnement, Approach to Equilibrium and Excess Volatility in Firm Networks 2021-04-12T03:00:37+00:00 https://arxiv.org/abs/2012.05202 cshalizi to:NB economics dynamical_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d7186c0e3e52/ [2102.05100] On structural and practical identifiability 2021-03-17T20:23:08+00:00 https://arxiv.org/abs/2102.05100 cshalizi to:NB identifiability dynamical_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:09293a0b0fd9/ Nonstationary Space‐time Covariance Functions induced by Dynamical Systems - Senoussi - - Scandinavian Journal of Statistics - Wiley Online Library 2021-01-19T18:42:24+00:00 https://doi.org/10.1111/sjos.12513 cshalizi non-stationarity dynamical_systems statistics covariance_estimation spatio-temporal_statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:981a9aed08f8/ [2002.02250] Uncovering differential equations from data with hidden variables 2020-12-26T17:46:56+00:00 https://arxiv.org/abs/2002.02250 cshalizi equations_of_motion_from_a_time_series sparsity linear_regression dynamical_systems inference_to_latent_objects in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3ba9d3e1c481/ [2012.06391] Learning physically consistent mathematical models from data using group sparsity 2020-12-15T01:36:26+00:00 https://arxiv.org/abs/2012.06391 cshalizi to:NB dynamical_systems statistical_inference_for_stochastic_processes sparsity statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7760c0b795d9/ [1901.08641] Gibbs posterior convergence and the thermodynamic formalism 2020-12-12T20:03:25+00:00 https://arxiv.org/abs/1901.08641 cshalizi to:NB bayesian_consistency statistical_inference_for_stochastic_processes dynamical_systems large_deviations ergodic_theory nobel.andrew https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2ed738a0f046/ [2012.05601] Bayes posterior convergence for loss functions via almost additive Thermodynamic Formalism 2020-12-12T20:01:26+00:00 https://arxiv.org/abs/2012.05601 cshalizi to:NB bayesian_consistency dynamical_systems statistical_inference_for_stochastic_processes large_deviations https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ca38875160c1/ [2012.04556] Finding nonlinear system equations and complex network structures from data: a sparse optimization approach 2020-12-12T03:25:09+00:00 https://arxiv.org/abs/2012.04556 cshalizi to:NB dynamical_systems time_series sparsity statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2a830c8c26f9/ [2012.01068] Reduced-Order Models for Coupled Dynamical Systems: Koopman Operator and Data-driven Methods 2020-12-04T21:40:04+00:00 https://arxiv.org/abs/2012.01068 cshalizi stochastic_processes dynamical_systems macro_from_micro in_NB koopman_operators https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c3a153af7d79/ [2002.09922] Steering complex networks toward desired dynamics 2020-12-02T01:45:51+00:00 https://arxiv.org/abs/2002.09922 cshalizi to:NB control_theory_and_control_engineering dynamical_systems networks re:in_soviet_union_optimization_problem_solves_you https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e392bf3ff108/ [2011.11122] Controlling symmetries and clustered dynamics of complex networks 2020-11-25T15:41:09+00:00 https://arxiv.org/abs/2011.11122 cshalizi to:NB dynamical_systems networks control_theory_and_control_engineering re:in_soviet_union_optimization_problem_solves_you https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ece0572ed180/ [2011.11371] Ordinary differential equations (ODE): metric entropy and nonasymptotic theory for noisy function fitting 2020-11-25T14:38:08+00:00 https://arxiv.org/abs/2011.11371 cshalizi to:NB dynamical_systems time_series curve_fitting to_read statistics learning_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1bac398887af/ [2011.09573] Learning Recurrent Neural Net Models of Nonlinear Systems 2020-11-23T17:26:33+00:00 https://arxiv.org/abs/2011.09573 cshalizi to:NB raginsky.maxim learning_theory dynamical_systems to_read learning_under_dependence https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e20380910c33/ Discrete Event Systems: Modeling, Observation, and Control | Annual Review of Control, Robotics, and Autonomous Systems 2020-11-19T05:23:41+00:00 https://www.annualreviews.org/doi/abs/10.1146/annurev-control-053018-023659 cshalizi to:NB dynamical_systems control_theory_and_control_engineering automata_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2b962984d03a/ Formal Methods for Control Synthesis: An Optimization Perspective | Annual Review of Control, Robotics, and Autonomous Systems 2020-11-19T05:23:14+00:00 https://www.annualreviews.org/doi/abs/10.1146/annurev-control-053018-023717 cshalizi control_theory_and_control_engineering automata_theory dynamical_systems in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ea873961191f/ System Identification: A Machine Learning Perspective | Annual Review of Control, Robotics, and Autonomous Systems 2020-11-19T05:21:49+00:00 https://www.annualreviews.org/doi/abs/10.1146/annurev-control-053018-023744 cshalizi to:NB nonparametrics statistics learning_theory dynamical_systems to_teach:childs_garden_of_statistical_learning_theory learning_under_dependence https://pinboard.in/ https://pinboard.in/u:cshalizi/b:72d9379f7c5e/ McGoff , Nobel : Empirical risk minimization and complexity of dynamical models 2020-11-19T04:45:26+00:00 https://projecteuclid.org/euclid.aos/1597370663 cshalizi learning_theory dynamical_systems state_estimation nobel.andrew to_teach:childs_garden_of_statistical_learning_theory have_read in_NB learning_under_dependence https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8d0c6a1757d4/