Publications by authors named "Max Tegmark"

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AI Feynman: A physics-inspired method for symbolic regression.
Silviu-Marian Udrescu, Max Tegmark

April 2020

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GenEFT: Understanding statics and dynamics of model generalization via physics-inspired effective theory.
David D Baek, Ziming Liu, Max Tegmark

Phys Rev E· March 2025

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The Geometry of Concepts: Sparse Autoencoder Feature Structure.
Yuxiao Li, Eric J Michaud, David D Baek, Joshua Engels, Xiaoqing Sun, Max Tegmark

Entropy (Basel)· March 2025

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Discovering candidates for integrable systems via backpropagation.
Subhash Kantamneni, Ziming Liu, Max Tegmark

Phys Rev E· February 2025

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Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code.
Eric J Michaud, Isaac Liao, Vedang Lad, Ziming Liu, Anish Mudide, Max Tegmark

Entropy (Basel)· December 2024

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How Do Transformers Model Physics? Investigating the Simple Harmonic Oscillator.
Subhash Kantamneni, Ziming Liu, Max Tegmark

Entropy (Basel)· November 2024

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Fault-tolerant neural networks from biological error correction codes.
Alexander Zlokapa, Andrew K Tan, John M Martyn, Ila R Fiete, Max Tegmark

Phys Rev E· November 2024

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Interpretable conservation laws as sparse invariants.
Ziming Liu, Patrick Obin Sturm, Saketh Bharadwaj, Sam J Silva, Max Tegmark

Phys Rev E· February 2024

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Seeing Is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability.
Ziming Liu, Eric Gan, Max Tegmark

Entropy (Basel)· December 2023

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Precision Machine Learning.
Eric J Michaud, Ziming Liu, Max Tegmark

Entropy (Basel)· January 2023

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Machine learning conservation laws from differential equations.
Ziming Liu, Varun Madhavan, Max Tegmark

Phys Rev E· October 2022

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Machine-learning media bias.
Samantha D'Alonzo, Max Tegmark

PLoS One· August 2022

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Machine Learning Hidden Symmetries.
Ziming Liu, Max Tegmark

Phys Rev Lett· May 2022

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Toward a more accurate 3D atlas of C. elegans neurons.
Michael Skuhersky, Tailin Wu, Eviatar Yemini, Amin Nejatbakhsh, Edward Boyden, Max Tegmark

BMC Bioinformatics· May 2022

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Pareto-Optimal Clustering with the Primal Deterministic Information Bottleneck.
Andrew K Tan, Max Tegmark, Isaac L Chuang

Entropy (Basel)· May 2022

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Machine-learning nonconservative dynamics for new-physics detection.
Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark

Phys Rev E· November 2021

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16p11.2 deletion is associated with hyperactivation of human iPSC-derived dopaminergic neuron networks and is rescued by RHOA inhibition in vitro.
Maria Sundberg, Hannah Pinson, Richard S Smith, Kellen D Winden, Pooja Venugopal, Max Tegmark

Nat Commun· May 2021

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Machine Learning Conservation Laws from Trajectories.
Ziming Liu, Max Tegmark

Phys Rev Lett· May 2021

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Symbolic pregression: Discovering physical laws from distorted video.
Silviu-Marian Udrescu, Max Tegmark

Phys Rev E· April 2021

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Uphold the nuclear weapons test moratorium.
Jonathan King, Martin Chalfie, Noam Chomsky, Joseph Cirincione, Sean Decatur, Max Tegmark

Science· July 2020

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The role of artificial intelligence in achieving the Sustainable Development Goals.
Ricardo Vinuesa, Hossein Azizpour, Iolanda Leite, Madeline Balaam, Virginia Dignum, Max Tegmark

Nat Commun· January 2020

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Pareto-Optimal Data Compression for Binary Classification Tasks.
Max Tegmark, Tailin Wu

Entropy (Basel)· December 2019

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Toward an artificial intelligence physicist for unsupervised learning.
Tailin Wu, Max Tegmark

Phys Rev E· September 2019

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Lethal autonomous weapons.
Emilia Javorsky, Max Tegmark, Ira Helfand

BMJ· March 2019

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Ensemble inhibition and excitation in the human cortex: An Ising-model analysis with uncertainties.
Cristian Zanoci, Nima Dehghani, Max Tegmark

Phys Rev E· March 2019

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