Max Tegmark

Max Tegmark

Massachusetts Institute of Technology

H-index: 127

North America-United States

About Max Tegmark

Max Tegmark, With an exceptional h-index of 127 and a recent h-index of 69 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Physics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Opening the AI black box: program synthesis via mechanistic interpretability

Interpretable conservation laws as sparse invariants

Black-Box Access is Insufficient for Rigorous AI Audits

The clock and the pizza: Two stories in mechanistic explanation of neural networks

La vie 3.0: Etre humain à l'ère de l'intelligence artificielle

The quantization model of neural scaling

GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory

A Resource Model For Neural Scaling Law

Max Tegmark Information

University

Massachusetts Institute of Technology

Position

Professor of Physics

Citations(all)

85409

Citations(since 2020)

24052

Cited By

71633

hIndex(all)

127

hIndex(since 2020)

69

i10Index(all)

295

i10Index(since 2020)

208

Email

University Profile Page

Massachusetts Institute of Technology

Max Tegmark Skills & Research Interests

Physics

Top articles of Max Tegmark

Title

Journal

Author(s)

Publication Date

Opening the AI black box: program synthesis via mechanistic interpretability

arXiv preprint arXiv:2402.05110

Eric J Michaud

Isaac Liao

Vedang Lad

Ziming Liu

Anish Mudide

...

2024/2/7

Interpretable conservation laws as sparse invariants

Physical Review E

Ziming Liu

Patrick Obin Sturm

Saketh Bharadwaj

Sam J Silva

Max Tegmark

2024/2/27

Black-Box Access is Insufficient for Rigorous AI Audits

arXiv preprint arXiv:2401.14446

Stephen Casper

Carson Ezell

Charlotte Siegmann

Noam Kolt

Taylor Lynn Curtis

...

2024/1/25

The clock and the pizza: Two stories in mechanistic explanation of neural networks

NeurIPS

Ziqian Zhong

Ziming Liu

Max Tegmark

Jacob Andreas

2023

La vie 3.0: Etre humain à l'ère de l'intelligence artificielle

Max Tegmark

2024/1/10

The quantization model of neural scaling

Advances in Neural Information Processing Systems

Eric Michaud

Ziming Liu

Uzay Girit

Max Tegmark

2024/2/13

GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory

arXiv preprint arXiv:2402.05916

David D Baek

Ziming Liu

Max Tegmark

2024/2/8

A Resource Model For Neural Scaling Law

arXiv preprint arXiv:2402.05164

Jinyeop Song

Ziming Liu

Max Tegmark

Jeff Gore

2024/2/7

KAN: Kolmogorov-Arnold Networks

arXiv preprint arXiv:2404.19756

Ziming Liu

Yixuan Wang

Sachin Vaidya

Fabian Ruehle

James Halverson

...

2024/4/30

Discovering New Interpretable Conservation Laws as Sparse Invariants

arXiv preprint arXiv:2305.19525

Ziming Liu

Patrick Obin Sturm

Saketh Bharadwaj

Sam Silva

Max Tegmark

2023/5/31

Generating interpretable networks using hypernetworks

arXiv preprint arXiv:2312.03051

Isaac Liao

Ziming Liu

Max Tegmark

2023/12/5

Grokking as Compression: A Nonlinear Complexity Perspective

arXiv preprint arXiv:2310.05918

Ziming Liu

Ziqian Zhong

Max Tegmark

2023/10/9

Genphys: From physical processes to generative models

arXiv preprint arXiv:2304.02637

Ziming Liu

Di Luo

Yilun Xu

Tommi Jaakkola

Max Tegmark

2023/4/5

Growing Brains in Recurrent Neural Networks for Multiple Cognitive Tasks

Ziming Liu

Mikail Khona

Ila Fiete

Max Tegmark

2023/11/29

A Neural Scaling Law from Lottery Ticket Ensembling

arXiv preprint arXiv:2310.02258

Ziming Liu

Max Tegmark

2023/10/3

Language models represent space and time

arXiv preprint arXiv:2310.02207

Wes Gurnee

Max Tegmark

2023/10/3

Precision machine learning

Entropy

Eric J Michaud

Ziming Liu

Max Tegmark

2023/1

Growing brains: Co-emergence of anatomical and functional modularity in recurrent neural networks

arXiv preprint arXiv:2310.07711

Ziming Liu

Mikail Khona

Ila R Fiete

Max Tegmark

2023/10/11

AI-Feynman: Symbolic regression algorithm

Astrophysics Source Code Library

Silviu-Marian Udrescu

Max Tegmark

Andrew Tan

Jiahai Feng

Orisvaldo Net

...

2023/10

Seeing is believing: Brain-inspired modular training for mechanistic interpretability

Entropy

Ziming Liu

Eric Gan

Max Tegmark

2023/12/30

See List of Professors in Max Tegmark University(Massachusetts Institute of Technology)

Max Tegmark FAQs

What is Max Tegmark's h-index at Massachusetts Institute of Technology?

The h-index of Max Tegmark has been 69 since 2020 and 127 in total.

What are Max Tegmark's top articles?

The articles with the titles of

Opening the AI black box: program synthesis via mechanistic interpretability

Interpretable conservation laws as sparse invariants

Black-Box Access is Insufficient for Rigorous AI Audits

The clock and the pizza: Two stories in mechanistic explanation of neural networks

La vie 3.0: Etre humain à l'ère de l'intelligence artificielle

The quantization model of neural scaling

GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory

A Resource Model For Neural Scaling Law

...

are the top articles of Max Tegmark at Massachusetts Institute of Technology.

What are Max Tegmark's research interests?

The research interests of Max Tegmark are: Physics

What is Max Tegmark's total number of citations?

Max Tegmark has 85,409 citations in total.