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Living on Earth: Forests, Corals, Consciousness, and the Making of the World

Peter Godfrey-Smith

2024
Darwinian Populations and Natural Selection

Peter Godfrey-Smith

2009
The Price equation reveals a universal force–metric–bias law of algorithmic learning and natural selection

Steven A. Frank

2025
Markov Processes: Characterization and Convergence

Stewart N. Ethier

1986
Self-organization of matter and the evolution of biological macromolecules

Manfred Eigen

1971
Flexible goals require that inflexible perceptual systems produce veridical representations

Marlene D. Berke

2022
A model of inductive bias learning

Jonathan Baxter

2000
Language Models as Agent Models

Jacob Andreas

2022
The Vector Grounding Problem

Dimitri Coelho Mollo

2025
The information bottleneck method

Naftali Tishby

1999
An introduction to niche construction theory

Kevin Laland

2016
How learning can guide evolution

Geoffrey E. Hinton

1987
A new factor in evolution

James Mark Baldwin

1896
Where does fitness fit in theories of perception?

Barton L. Anderson

2015
Fitness beats truth in the evolution of perception

Chetan Prakash

2021
Computational evolutionary perception

Donald D. Hoffman

2012
Sleeper agents: Training deceptive LLMs that persist through safety training

Evan Hubinger

2024
Do ML Models Represent Their Targets?

Emily Sullivan

2024
Understanding from Machine Learning Models

Emily Sullivan

2022
A Philosophical Introduction to Language Models – Part I: Continuity with Classic Debates

Cameron Buckner

2024
Climbing towards NLU: On meaning, form, and understanding in the age of data

Emily M. Bender

2020
The interface theory of perception

Donald D. Hoffman

2015
Task ecologies and the evolution of world-tracking representations in large language models

Giulio Valentino Dalla Riva

2026
Between interface and truth: Multi-task selection drives ecologically veridical perception

Giulio Valentino Dalla Riva

2026
Intensity Dot Product Graphs

Giulio Valentino Dalla Riva

2026
Optimization Algorithms on Matrix Manifolds

P.-A. Absil

2008
The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics

Joshua Cape

2019
Spectral embedding for dynamic networks with stability guarantees

Ian Gallagher

2022
A central limit theorem for an omnibus embedding of multiple random graphs and implications for multiscale network inference

Keith Levin

2022
Inference for multiple heterogeneous networks with a common invariant subspace

Jesús Arroyo

2021
One-Parameter Semigroups for Linear Evolution Equations

Klaus-Jochen Engel

2000
A lower bound for the smallest eigenvalue of the Laplacian

Jeff Cheeger

1970
Diffusion maps

Ronald R. Coifman

2006
Heat Kernel and Analysis on Manifolds

Alexander Grigor'yan

2009
Error estimates for spectral convergence of the graph Laplacian on random geometric graphs toward the Laplace–Beltrami operator

Nicolás García Trillos

2020
Graph Laplacians and their convergence on random neighborhood graphs

Matthias Hein

2007
A tutorial on spectral clustering

Ulrike Luxburg

2007
Sparse graphs using exchangeable random measures

François Caron

2017
The class of random graphs arising from exchangeable random measures

Victor Veitch

2015
An $L^p$ theory of sparse graph convergence I: Limits, sparse random graph models, and power law distributions

Christian Borgs

2019

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