Pinboard (mraginsky)
https://pinboard.in/u:mraginsky/public/
recent bookmarks from mraginskyRandom Tree Model of Meaningful Memory | Phys. Rev. Lett.2026-06-08T17:18:34+00:00
https://journals.aps.org/prl/abstract/10.1103/g1cz-wk1l
mraginskypapers to-read memory random-structures language statistical-physicshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:5718d5c7a886/The overlap gap property: A topological barrier to optimizing over random structures | PNAS2026-05-13T17:37:50+00:00
https://www.pnas.org/doi/10.1073/pnas.2108492118
mraginskypapers to-read computational-complexity random-structures statistical-physicshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:483a65f6c008/Feynman's Ratchet and Pawl | Journal of Statistical Physics | Springer Nature Link2026-03-02T01:40:25+00:00
https://link.springer.com/article/10.1023/B:JOSS.0000033245.43421.14
mraginskypapers to-read thermodynamics statistical-physics stochastic-thermodynamicshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:4410250fda4b/The Logic of Life | Discover Life2026-01-08T21:32:48+00:00
https://link.springer.com/article/10.1007/s11084-016-9494-1
mraginskypapers to-read biology evolution physics thermodynamics statistical-physicshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:2248c2f5d970/[2209.08832] From microscopic to macroscopic scale equations: mean field, hydrodynamic and graph limits2025-09-25T13:36:29+00:00
https://arxiv.org/abs/2209.08832
mraginskypapers to-read statistical-physics dynamical-systems interacting-particle-systemshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:b2fd1757e956/[2505.10175] From Combinatorics to Partial Differential Equations2025-05-18T00:44:30+00:00
https://arxiv.org/abs/2505.10175
mraginskypapers to-read optimal-transportation statistical-physics point-processeshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:671447c40e37/[2410.18858] Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens2024-10-28T16:43:50+00:00
https://arxiv.org/abs/2410.18858
mraginskypapers to-read large-language-models transformers statistical-learning statistical-physicshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:90829b4cff11/A Dynamical Systems Perspective on Discrete Optimization2024-08-22T15:57:20+00:00
https://proceedings.mlr.press/v211/guanchun23a.html
mraginskypapers to-read dynamical-systems optimization statistical-physicshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:e7a2328fbf3e/[2408.02360] Potential Hessian Ascent: The Sherrington-Kirkpatrick Model2024-08-08T01:34:27+00:00
https://arxiv.org/abs/2408.02360
mraginskypapers to-read statistical-physics optimizationhttps://pinboard.in/https://pinboard.in/u:mraginsky/b:5ad9867d43a1/[0804.0327] The large deviation approach to statistical mechanics2024-06-17T20:07:30+00:00
https://arxiv.org/abs/0804.0327
mraginskylecture-notes probability statistical-physics large-deviationshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:5489da039ab3/Workshop on Statistical Physics of Inference and Control Theory, Granada 2012 - VideoLectures - VideoLectures.NET2023-08-09T21:01:56+00:00
http://videolectures.net/cyberstat2012_granada/
mraginskystatistical-physics inference information control-theory learning dynamical-systemshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:030cd6bd49c8/[2204.11900] Towards a Geometry and Analysis for Bayesian Mechanics2022-08-02T16:23:25+00:00
https://arxiv.org/abs/2204.11900
mraginskypapers to-read Bayesian-inference differential-geometry complex-systems adaptive-systems dynamical-systems statistical-physicshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:d21d4b8939d5/[2203.08119] A Constraint Geometry for Inference and Integration2022-08-02T16:11:46+00:00
https://arxiv.org/abs/2203.08119
mraginskypapers to-read statistical-physics learning differential-geometry physics-of-information variational-principles-everywherehttps://pinboard.in/https://pinboard.in/u:mraginsky/b:fee2f33e2ffe/[2203.05093] Sampling from the Sherrington-Kirkpatrick Gibbs measure via algorithmic stochastic localization2022-03-16T13:48:15+00:00
https://arxiv.org/abs/2203.05093
mraginsky1$, even under the normalized Wasserstein metric.
Our sampling method is based on an algorithmic implementation of stochastic localization, which progressively tilts the measure $\mu$ towards a single configuration, together with an approximate message passing algorithm that is used to approximate the mean of the tilted measure. ]]>papers to-read sampling SDEs statistical-physicshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:3185e1469e7d/The Metastable Brain2020-12-23T21:52:49+00:00
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3997258/
mraginskypapers to-read neuroscience complex-systems statistical-physicshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:a73bafa4e05a/[1611.00814] Information-theoretic thresholds from the cavity method2016-11-04T03:20:20+00:00
https://arxiv.org/abs/1611.00814
mraginskypapers to-read statistical-physics information-theory optimization graphical-modelshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:7682d0661b22/[1604.07707] Ergodicity of PCA: Equivalence between Spatial and Temporal Mixing Conditions2016-04-27T03:12:21+00:00
http://arxiv.org/abs/1604.07707
mraginskypapers to-read statistical-physics probability cellular-automatahttps://pinboard.in/https://pinboard.in/u:mraginsky/b:f2eb3cde3c99/[1503.03585] Deep Unsupervised Learning using Nonequilibrium Thermodynamics2015-12-08T13:38:21+00:00
http://arxiv.org/abs/1503.03585
mraginskypapers deep-learning information-theory statistical-physics have-read mehhttps://pinboard.in/https://pinboard.in/u:mraginsky/b:b817112477ae/On entropy and information gain in random fields - Springer2015-02-08T20:37:21+00:00
http://link.springer.com/article/10.1007%2FBF00532723
mraginskypapers to-read information-theory statistical-physics probabilityhttps://pinboard.in/https://pinboard.in/u:mraginsky/b:bb682501fcd3/Les Houches Meeting: "Statistical Physics, Optimization, Inference, and Message-Passing Algorithms"2015-02-05T17:47:38+00:00
http://www.lps.ens.fr/~krzakala/LESHOUCHES2013/book.htm
mraginskylecture-notes statistical-physics graphical-models machine-learning probabilityhttps://pinboard.in/https://pinboard.in/u:mraginsky/b:0d1db232f428/[0903.2962] A symmetric entropy bound on the non-reconstruction regime of Markov chains on Galton-Watson trees2014-01-17T12:55:45+00:00
http://arxiv.org/abs/0903.2962
mraginskypapers to-read information-theory statistical-physics markov-chainshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:56ee7d45e679/[1301.4055] Structure and eigenvalues of heat-bath Markov chains2013-12-12T13:20:22+00:00
http://arxiv.org/abs/1301.4055
mraginskyto-read papers markov-chains MCMC statistical-physicshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:00acecac01c0/[1110.6121] Truly work-like work extraction2013-10-22T19:59:49+00:00
http://arxiv.org/abs/1110.6121
mraginskypapers to-read information-theory statistical-physics measure-concentrationhttps://pinboard.in/https://pinboard.in/u:mraginsky/b:e4fd5d4a17cd/[1207.6736] Information geometry and sufficient statistics2012-07-31T02:53:10+00:00
http://arxiv.org/abs/1207.6736
mraginskypapers to-read information-geometry probability statistical-physicshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:a6e37d16e43c/[1205.1005] Some Refinements of Large Deviation Tail Probabilities2012-05-07T09:08:29+00:00
http://arxiv.org/abs/1205.1005
mraginskypapers to-read statistics probability large-deviations measure-concentration statistical-physicshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:812b2b759a33/Fluctuations and response out of equilibrium (C. Maes)2012-04-27T14:38:54+00:00
http://itf.fys.kuleuven.be/~christ/pub/kyotopaper.pdf
mraginskypapers to-read statistical-physics thermodynamics probability information-theoryhttps://pinboard.in/https://pinboard.in/u:mraginsky/b:f8814b7fae43/"Lectures on logarithmic Sobolev inequalities" (A. Guionnet and B. Zegarlinski)2012-02-05T23:57:52+00:00
http://mathaa.epfl.ch/prst/mourrat/ihpin.pdf
mraginskymathematics lecture-notes probability analysis statistical-physicshttps://pinboard.in/https://pinboard.in/u:mraginsky/b:2b2f30d3b523/IOPscience::.. Focus issue on Optimization and Inference in Machine Learning and Physics2011-08-14T21:50:34+00:00
http://iopscience.iop.org/1742-5468/focus/extra.focus2
mraginskyto-read machine-learning statistical-physicshttps://pinboard.in/u:mraginsky/b:316e12c1cfb5/IEEE Xplore - Data Processing Theorems and the Second Law of Thermodynamics2011-07-25T22:08:26+00:00
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5961833
mraginskypapers have-read information-theory thermodynamics statistical-physics markov-chainshttps://pinboard.in/u:mraginsky/b:5b5d92df1039/Thermodynamics and Concentration2011-03-24T00:52:22+00:00
http://www.andreas-maurer.eu/TermoConc.pdf
mraginskypapers to-read measure-concentration information-theory probability statistical-physics statistical-learning via:shivak filetype:pdf media:documenthttps://pinboard.in/u:mraginsky/b:094dcfd4b5d4/Feedback control and the arrow of time - International Journal of Control2010-09-16T14:59:23+00:00
http://www.informaworld.com/smpp/content~content=a923305847~db=all~jumptype=rss
mraginskypapers to-read control-theory statistical-physics cyberneticshttps://pinboard.in/u:mraginsky/b:d7558b556812/[1009.2830] On Lossless Approximations, the Fluctuation-Dissipation Theorem, and Limitations of Measurements2010-09-16T04:08:46+00:00
http://arxiv.org/abs/1009.2830
mraginskyto-read control-theory information-theory statistical-physicshttps://pinboard.in/u:mraginsky/b:f1e2b0fbeabe/Lindenstrauss, Ngo, Smirnov, Villani « What’s new2010-08-19T23:37:58+00:00
http://terrytao.wordpress.com/2010/08/19/lindenstrauss-ngo-smirnov-villani/
mraginskyto-read mathematics dynamical-systems statistical-physics ergodic-theoryhttps://pinboard.in/u:mraginsky/b:f968d3d1afd0/A note on exponential families of distributions2010-08-13T03:53:50+00:00
http://iopscience.iop.org/1751-8121/40/30/F01/
mraginskypapers have-read meh probability exponential-families statistical-physicshttps://pinboard.in/u:mraginsky/b:8be45b3c09c2/Probability Collectives (David H. Wolpert)2010-07-23T14:27:42+00:00
http://ti.arc.nasa.gov/tech/dash/intelligent-data-understanding/probcol/
mraginskyresearch papers reference control-theory distributed-systems decision-making game-theory statistical-physics optimizationhttps://pinboard.in/u:mraginsky/b:50763dc23280/Complementary Slackness2010-03-20T05:39:46+00:00
http://complementaryslackness.wordpress.com/
mraginskyblogs philosophy-of-science statistical-physics quantum-mechanics probabilityhttps://pinboard.in/u:mraginsky/b:5b78958e9b94/Mean field games « What’s new2010-02-16T16:57:39+00:00
http://terrytao.wordpress.com/2010/01/07/mean-field-equations/
mraginskygame-theory decision-making statistical-physics collective-behavior complex-systems multiagent-systemshttps://pinboard.in/u:mraginsky/b:10e4e2d9db03/[1001.3122] Erasure entropies and Gibbs measures2010-01-20T01:43:54+00:00
http://arxiv.org/abs/1001.3122
mraginskyto-read papers information-theory graphical-models statistical-physicshttps://pinboard.in/u:mraginsky/b:124de599a551/[0911.3213] Optimum estimation via gradients of partition functions and information measures: a statistical-mechanical perspective2009-11-18T01:28:45+00:00
http://arxiv.org/abs/0911.3213
mraginskypapers have-read estimation information-theory statistical-physicshttps://pinboard.in/u:mraginsky/b:12a84f6d5737/[0910.5460] Gibbs Measures and Phase Transitions on Sparse Random Graphs2009-11-10T19:44:22+00:00
http://arxiv.org/abs/0910.5460
mraginskyto-read lecture-notes reference graph-theory graphical-models sparsity statistical-physics algorithms combinatorics optimizationhttps://pinboard.in/u:mraginsky/b:c733a73a2acf/[0910.5761] Which graphical models are difficult to learn? (Authors: Jose Bento, Andrea Montanari)2009-11-02T23:17:55+00:00
http://arxiv.org/abs/0910.5761
mraginskypapers to-read graphical-models statistics machine-learning statistical-physicshttps://pinboard.in/u:mraginsky/b:7d05459b2a69/[0908.2556] A Backward Particle Interpretation of Feynman-Kac Formulae2009-08-23T01:20:39+00:00
http://arxiv.org/abs/0908.2556
mraginskypapers to-read statistics statistical-physics particle-filtershttps://pinboard.in/u:mraginsky/b:d535551ce973/Home page - Jan C. Willems2009-08-10T23:31:20+00:00
http://homes.esat.kuleuven.be/~jwillems/
mraginskycontrol-theory optimization statistical-physics mathematics people homepages reference research papers lecture-noteshttps://pinboard.in/u:mraginsky/b:8cb4e252d7dc/[0711.1460] On the Thermodynamic Temperature of a General Distribution2009-03-17T03:09:57+00:00
http://arxiv.org/abs/0711.1460
mraginskypapers have-read statistics statistical-physics information-theoryhttps://pinboard.in/u:mraginsky/b:7ae1ce274527/[0903.1484] Physics of the Shannon Limits2009-03-10T00:57:58+00:00
http://arxiv.org/abs/0903.1484
mraginskypapers have-read statistical-physics information-theoryhttps://pinboard.in/u:mraginsky/b:6b386b89de43/http://www.stanford.edu/~montanar/BOOK/book.html2009-01-07T00:09:50+00:00
http://www.stanford.edu/~montanar/BOOK/book.html
mraginskybooks statistical-physics information-theory complexity computation algorithms optimizationhttps://pinboard.in/u:mraginsky/b:83d825e37db7/[0812.4889] Statistical Physics of Signal Estimation in Gaussian Noise: Theory and Examples of Phase Transitions2009-01-02T03:40:17+00:00
http://arxiv.org/abs/0812.4889
mraginskypapers have-read statistical-physics information-theoryhttps://pinboard.in/u:mraginsky/b:5a1be63e726d/[0810.2164] Joint source-channel coding via statistical mechanics: thermal equilibrium between the source and the channel2008-12-16T01:05:05+00:00
http://arxiv.org/abs/0810.2164
mraginskypapers to-read information-theory statistical-physicshttps://pinboard.in/u:mraginsky/b:67ef3142c6ba/R.L. Dobrushin. List of papers.2008-12-16T00:55:48+00:00
http://www.cpt.univ-mrs.fr/dobrushin/list.html
mraginskypapers mathematics probability statistical-physics information-theory reference peoplehttps://pinboard.in/u:mraginsky/b:02734aedcc72/[0708.0850] Relations between random coding exponents and the statistical physics of random codes2008-07-07T20:47:02+00:00
http://arxiv.org/abs/0708.0850
mraginskypapers to-read information-theory statistical-physicshttps://pinboard.in/u:mraginsky/b:2b866ee6aa1f/[cs/0702101] An identity of Chernoff bounds with an interpretation in statistical physics and applications in information theory2008-07-07T20:45:09+00:00
http://arxiv.org/abs/cs/0702101
mraginskypapers have-read information-theory statistical-physicshttps://pinboard.in/u:mraginsky/b:63bff7f92a12/