Catalog (156 entries)

Sort by

Kind

Book (42) Paper (114) Blog post (0)

Topic

Mathematics (6) Sciences (0) Technology & Society (0) Medicine & Health (0) Philosophy & Critical Theory (0) History (0) Military History (0) Social Sciences (0) Economics (0) Law & Policy (0) Education (0) Arts & Letters (0) Religion (0) Regional Studies (0)

Channel

Clear

The deterministic information bottleneck

D. J. Strouse

2017
Learning and generalization with the information bottleneck

Ohad Shamir

2010
Completeness, similar regions, and unbiased estimation: Part I

E. L. Lehmann

1950
Sufficiency and statistical decision functions

Raghu Raj Bahadur

1954
Show Your Work: Scratchpads for Intermediate Computation with Language Models

Maxwell Nye

2021
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Jason Wei

2022
Learning by Surprise: Surplexity for Mitigating Model Collapse in Generative AI

Daniele Gambetta

2025
Understanding with Toy Surrogate Models in Machine Learning

Andrés Páez

2024
The debate over understanding in AI's large language models

Melanie Mitchell

2023
A mathematical theory for understanding when abstract representations emerge in neural networks

Bin Wang

2025
Emergent Introspective Awareness in Large Language Models

Jack Lindsey

2025
When Models Manipulate Manifolds: The Geometry of a Counting Task

Wes Gurnee

2025
Toy Models of Superposition

Nelson Elhage

2022
A Mathematical Framework for Transformer Circuits

Nelson Elhage

2021
An Information-Geometric View of the Platonic Hypothesis

Alexander Lobashev

2025
microgpt

Andrej Karpathy

2026
Position: The Platonic Representation Hypothesis

Minyoung Huh

2024
Revisiting the Platonic Representation Hypothesis: An Aristotelian view

Fabian Gröger

2026
Neural Networks can Learn Representations with Gradient Descent

Alexandru Damian

2022
Do Large Language Models Understand Us?

Blaise Arcas

2022
High-dimensional asymptotics of feature learning: How one gradient step improves the representation

Jimmy Ba

2022
Neural networks as kernel learners: The silent alignment effect

Alexander Atanasov

2022
A Foray into the Worlds of Animals and Humans

Jakob Uexüll

2010
The Philosophy of Evolutionary Theory

Elliott Sober

2024
Evidence and Evolution: The Logic Behind the Science

Elliott Sober

2008
Non-negative Matrices and Markov Chains

Eugene Seneta

2006
Extension of covariance selection mathematics

George R. Price

1972
Selection and covariance

George R. Price

1970
Is vision continuous with cognition? The case for cognitive impenetrability of visual perception

Zenon W. Pylyshyn

1999
Fact, fiction, and fitness

Chetan Prakash

2020
Making Sense of Evolution: The Conceptual Foundations of Evolutionary Biology

Massimo Pigliucci

2006
Quasispecies theory for finite populations

Jeong-Man Park

2010
The benefit of multitask representation learning

Andreas Maurer

2016
Probability inequalities for sums of bounded random variables

Wassily Hoeffding

1963
The Case Against Reality

Donald D. Hoffman

2019
First-order perturbation theory for eigenvalues and eigenvectors

Anne Greenbaum

2020
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

Load more