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Spectres de Marx

Jacques Derrida

1993
Otherworlds

Federico Campagna

2025
Cosmology

Daniel Baumann

2022
Minimax rates for latent position estimation in the generalized random dot product graph

Joshua Agterberg

2023
Asymptotically efficient estimators for stochastic blockmodels: the naive MLE, the rank-constrained MLE, and the spectral estimator

Minh Tang

2022
The eigenvalues of stochastic blockmodel graphs

Minh Tang

2018
A limit theorem for scaled eigenvectors of random dot product graphs

Avanti Athreya

2016
Efficient estimation for random dot product graphs via a one-step procedure

Fangzheng Xie

2023
Optimal Bayesian estimation for random dot product graphs

Fangzheng Xie

2020
The fundamental equations of a submersion

Barrett O'Neill

1966
Low-rank optimization on the cone of positive semidefinite matrices

Michel Journée

2010
SymbolicRegression.jl: Distributed High-Performance Symbolic Regression in Julia

Miles Cranmer

2023
Random perturbations of dynamical systems

Mark I Freidlin

1998
Universal differential equations for scientific machine learning

Christopher Rackauckas

2020
Learning unknown ODE models with Gaussian processes

Markus Heinonen

2018
Bayesian Inference for Generalized Random Dot Product Graphs with Scaled Mixtures of Normals

Joshua Daniel Loyal

2025
Quotient geometry with simple geodesics for the manifold of fixed-rank positive-semidefinite matrices

Estelle Massart

2020
Curvature of the manifold of fixed-rank positive-semidefinite matrices endowed with the Bures–Wasserstein metric

Estelle Massart

2019
Foundations of Differential Geometry

Shoshichi Kobayashi

1963
Beyond species: why ecological interaction networks vary through space and time

Timothée Poisot

2015
Food web reconstruction through phylogenetic transfer of low-rank network representation

Tanya Strydom

2022
Euclidean Mirrors and Dynamics in Network Time Series

Avanti Athreya

2025
Gradient-Based Spectral Embeddings of Random Dot Product Graphs

Marcelo Fiori

2024
Latent geometry emerging from network-driven processes

Andrea Filippo Beretta

2025
Geometric deep learning: Grids, groups, graphs, geodesics, and gauges

Michael M Bronstein

2021
SE-Sync: A certifiably correct algorithm for synchronization over the special Euclidean group

David M Rosen

2019
Three-dimensional structure determination from common lines in cryo-EM by eigenvectors and semidefinite programming

Amit Singer

2011
Random Dot Product Graphs as Dynamical Systems: Limitations and Opportunities

Giulio Valentino Dalla Riva

2026
The Topos of Music

Guerino Mazzola

2002
The units of selection

Richard C. Lewontin

1970
Comparing clusterings—an information based distance

Marina Meilā

2007
SVCCA: Singular vector canonical correlation analysis for deep learning dynamics and interpretability

Maithra Raghu

2017
Insights on representational similarity in neural networks with canonical correlation

Ari S. Morcos

2018
Similarity of neural network representations revisited

Simon Kornblith

2019
Information-theoretic analysis of generalization capability of learning algorithms

Aolin Xu

2017
Emergence of invariance and disentanglement in deep representations

Alessandro Achille

2018
Convergence rates of posterior distributions

Subhashis Ghosal

2000
On the information bottleneck theory of deep learning

Andrew M. Saxe

2019
The information bottleneck problem and its applications in machine learning

Ziv Goldfeld

2020
Agglomerative information bottleneck

Noam Slonim

2000

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