p7physics.data-an

physics.data-an

40 papers

Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing

David L. Donoho, Jared Tanner

0906.2530

Graph Embedding Techniques, Applications, and Performance: A Survey

Palash Goyal, Emilio Ferrara

1705.02801

Lagrangian Neural Networks

Miles Cranmer, Sam Greydanus, Stephan Hoyer, Peter Battaglia, David Spergel, Shirley Ho

2003.04630

The performance of modularity maximization in practical contexts

Benjamin H. Good, Yves-Alexandre de Montjoye, Aaron Clauset

0910.0165

High-dimensional dynamics of generalization error in neural networks

Madhu S. Advani, Andrew M. Saxe

1710.03667

Understanding overfitting peaks in generalization error: Analytical risk curves for $l_2$ and $l_1$ penalized interpolation

Partha P Mitra

1906.03667

Separation of Scales and a Thermodynamic Description of Feature Learning in Some CNNs

Inbar Seroussi, Gadi Naveh, Zohar Ringel

2112.15383

Stochastic Normalizing Flows

Hao Wu, Jonas Köhler, Frank Noé

2002.06707

Sparse Estimation with the Swept Approximated Message-Passing Algorithm

Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová

1406.4311

Stochastic model for the vocabulary growth in natural languages

Martin Gerlach, Eduardo G. Altmann

1212.1362

Spectral tripartitioning of networks

Thomas Richardson, Peter J. Mucha, Mason A. Porter

0812.2852

From Integrable to Chaotic Systems: Universal Local Statistics of Lyapunov exponents

Gernot Akemann, Zdzislaw Burda, Mario Kieburg

1809.05905

Omnigrok: Grokking Beyond Algorithmic Data

Ziming Liu, Eric J. Michaud, Max Tegmark

2210.01117

Community extraction for social networks

Yunpeng Zhao, Elizaveta Levina, Ji Zhu

1005.3265

Bayesian signal reconstruction for 1-bit compressed sensing

Yingying Xu, Yoshiyuki Kabashima, Lenka Zdeborova

1406.3782

Stochastic blockmodels and community structure in networks

Brian Karrer, M. E. J. Newman

1008.3926

Multiresolution community detection for megascale networks by information-based replica correlations

Peter Ronhovde, Zohar Nussinov

0812.1072

Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks

Richard G. Everitt

1203.3725

Entropy: The Markov Ordering Approach

A. N. Gorban, P. A. Gorban, G. Judge

1003.1377

A Bayesian Approach to Network Modularity

Jake M. Hofman, Chris H. Wiggins

0709.3512

Interpretations of Negative Probabilities

Mark Burgin

1008.1287

Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data

Charles H. Martin, Tongsu, Peng, Michael W. Mahoney

2002.06716

Scalable Text and Link Analysis with Mixed-Topic Link Models

Yaojia Zhu, Xiaoran Yan, Lise Getoor, Cristopher Moore

1303.7264

How to learn a graph from smooth signals

Vassilis Kalofolias

1601.02513

Line Graphs, Link Partitions and Overlapping Communities

T. S. Evans, R. Lambiotte

0903.2181

Extracting distribution parameters from multiple uncertain observations with selection biases

Ilya Mandel, Will M. Farr, Jonathan R. Gair

1809.02063

Diffusion of scientific credits and the ranking of scientists

Filippo Radicchi, Santo Fortunato, Benjamin Markines, Alessandro Vespignani

0907.1050

Anomaly Detection with Density Estimation

Benjamin Nachman, David Shih

2001.04990

Soccer: is scoring goals a predictable Poissonian process?

Andreas Heuer, Christian Mueller, Oliver Rubner

1002.0797

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model

Atılım Güneş Baydin, Lukas Heinrich, Wahid Bhimji, Lei Shao, Saeid Naderiparizi, Andreas Munk, Jialin Liu, Bradley Gram-Hansen, Gilles Louppe, Lawrence Meadows, Philip Torr, Victor Lee, Prabhat, Kyle Cranmer, Frank Wood

1807.07706

Bayesian stochastic blockmodeling

Tiago P. Peixoto

1705.10225

Efficient Estimation of Mutual Information for Strongly Dependent Variables

Shuyang Gao, Greg Ver Steeg, Aram Galstyan

1411.2003

Detection of the elite structure in a virtual multiplex social system by means of a generalized $K$-core

Bernat Corominas-Murtra, Benedikt Fuchs, Stefan Thurner

1309.6740

Generative Models for Fast Calorimeter Simulation.LHCb case

Viktoria Chekalina, Elena Orlova, Fedor Ratnikov, Dmitry Ulyanov, Andrey Ustyuzhanin, Egor Zakharov

1812.01319

MadMiner: Machine learning-based inference for particle physics

Johann Brehmer, Felix Kling, Irina Espejo, Kyle Cranmer

1907.10621

Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer

Sydney Otten, Sascha Caron, Wieske de Swart, Melissa van Beekveld, Luc Hendriks, Caspar van Leeuwen, Damian Podareanu, Roberto Ruiz de Austri, Rob Verheyen

1901.00875

Missing and spurious interactions and the reconstruction of complex networks

R. Guimera, M. Sales-Pardo

1004.4791

Triadic closure dynamics drives scaling-laws in social multiplex networks

Peter Klimek, Stefan Thurner

1301.0259

Simulation Assisted Likelihood-free Anomaly Detection

Anders Andreassen, Benjamin Nachman, David Shih

2001.05001

Extending the definition of modularity to directed graphs with overlapping communities

V. Nicosia, G. Mangioni, V. Carchiolo, M. Malgeri

0801.1647