Boulder School 2017: Reading Material
All files are in PDF format.
Ludovic Berthier (Montpellier)
Giulio Biroli (IPHT)
Bulbul Chakraborty (Brandeis)
Kabir Ramola and Bulbul Chakraborty, Stress Response of Granular Systems
J.P. Bouchand, Granular Media: some ideas from statistical physics (external link)
Sumantra Sarkar, Dapeng Bi, Jie Zhang, Jie Ren, R. P. Behringer, and Bulbul Chakraborty, Shear-induced rigidity of frictional particles: Analysis of emergent order in stress space (external link)
Leticia F. Cugliandolo (Sorbonne Universites - Universite Pierre et Marie Curie - LPTHE)
Dynamics of Glassy Systems (external link)
Mark Ediger (Wisconsin)
M. D. Ediger, C. A. Angell, and Sidney R. Nagel, Supercooled Liquids and Glasses (external link)
Kenneth L. Kerns, Stephen F. Swallen, M. D. Ediger, Tian Wu, Ye Sun, and Lian Yu, Hiking down the Energy Landscape: Progress Toward the Kauzmann Temperature via Vapor Deposition (external link)
J. Q. Wang, Y. Shen, J. H. PerePazko, and M. D. Ediger, Increasing the kinetic stability of bulk metallic glasses (external link)
Surya Ganguli (Stanford)
Madhu Advani, Subhaneil Lahiri and Surya Ganguli, Statistical mechanics of complex neural systems and high dimensional data (external link)
Madhu Advani and Surya Ganguli, Statistical Mechanics of Optimal Convex Inference in High Dimensions (external link)
Madhu Advani and Surya Ganguli, An equivalence between high dimensional Bayes optimal inference and M-estimation (external link)
Deep learning theory:
Andrew M. Saxe, James L. McClelland, and Surya Ganguli, Exact solutions to the nonlinear dynamics of learning in deep linear neural networks (external link)
Yann Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, and Yoshua Bengio, Identifying and attacking the saddle point problem in high-dimensional non-convex optimization (external link)
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, and Surya Ganguli, Deep Unsupervised Learning using Nonequilibrium Thermodynamics (external link)
Ben Poole, Subhaneil Lahiri, Maithra Raghu, Jascha Sohl-Dickstein, and Surya Ganguli, Exponential expressivity in deep neural networks through transient chaos (external link)
Lane T. McIntosh, Niru Maheswaranathan, Aran Nayebi, Surya Ganguli, and Stephen A. Baccus, Deep Learning Models of the Retinal Response to Natural Scenes (external link)
Florent Krzakala (ENS-Paris)
Florent Krzkala, Lenka Zdeborova, Maria Chiara Angelini, and Francesco Caltagirone, Statistical Physics of Inference and Bayesian Estimation
Lenka Zdeborova and Florent Krzakala, Statistical physics of inference: Thresholds and algorithms (external link)
Pierre Le Doussal (ENS-Paris)
Boulder School 2015 Lecture Notes 1
Boulder School 2015 Lecture Notes 2
Boulder School 2015 Lecture Notes 3
M. Lisa Manning (Syracuse)
Reza Farhadifar, Jens-Christian Röper, Benoit Aigouy, Suzanne Eaton, Frank Jülicher, The Influence of Cell Mechanics, Cell-Cell Interactions, and Proliferation on Epithelial Packing (external link)
Dapeng Bi, Xingbo Yang, M. Cristina Marchetti, and M. Lisa Manning, Motility-Driven Glass and Jamming Transitions in Biological Tissues (external link)
Chris Moore (Santa Fe Institute)
Aurélien Decelle, Janina Hüttel, Alaa Saade, and Cristopher Moore, Computational Complexity, Phase Transitions, and Message-Passing for Community Detection (external link)
Computational complexity and phase transitions:
Mezard and Montanari, Information, Physics and Computation
Moore and Mertens, The Nature of Computation (esp. Chapter 14)
The block model and community detection:
Cristopher Moore, The Computer Science and Physics of Community Detection: Landscapes, Phase Transitions, and Hardness (external link)
Emmanuel Abbe, Community detection and stochastic block models: recent developments (external link)
The nonbacktracking matrix:
Florent Krzakala, Cristopher Moore, Elchanan Mossei, and Pan Zhang, Spectral redemption in clustering sparse networks (external link)
The original paper on phase transitions in community detection:
Aurelien Decelle, Florent Krzakala, Cristopher Moore, Lenka Zdeborová, Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications (external link)
David Reichman (Columbia)
David R. Reichman and Patrick Charbonneau, Mode-Coupling Theory (external link)