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MAX TEGMARK
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Name
Affiliation
Papers
MAX TEGMARK
Univ Penn, Dept Phys, Philadelphia, PA 19104 USA
21
Collaborators
Citations
PageRank
36
160
16.27
Referers
Referees
References
431
275
83
Search Limit
100
431
Publications (21 rows)
Collaborators (36 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Toward a more accurate 3D atlas of C. elegans neurons
0
0.34
2022
Pareto-Optimal Clustering with the Primal Deterministic Information Bottleneck
0
0.34
2022
Pareto-Optimal Data Compression for Binary Classification Tasks.
0
0.34
2020
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity
0
0.34
2020
Al Feynman: A physics-inspired method for symbolic regression
5
0.55
2019
Learnability for the Information Bottleneck.
0
0.34
2019
The role of artificial intelligence in achieving the Sustainable Development Goals
5
0.44
2019
Toward an AI Physicist for Unsupervised Learning.
3
0.66
2018
Meta-learning autoencoders for few-shot prediction.
1
0.36
2018
The power of deeper networks for expressing natural functions.
11
0.71
2017
Critical Behavior in Physics and Probabilistic Formal Languages.
8
0.67
2017
On the Impossibility of Supersized Machines.
1
0.48
2017
Why does deep and cheap learning work so well?
57
2.60
2016
Improved Measures Of Integrated Information
3
0.50
2016
Critical Behavior from Deep Dynamics: A Hidden Dimension in Natural Language.
5
0.45
2016
Research Priorities for Robust and Beneficial Artificial Intelligence.
46
3.10
2015
Nuclear War from a Cosmic Perspective
0
0.34
2015
Friendly Artificial Intelligence: the Physics Challenge.
2
0.50
2014
Why the brain is probably not a quantum computer
2
0.36
2000
Importance Of Quantum Decoherence In Brain Processes
11
2.53
1999
An elementary proof that the biharmonic green function of an eccentric ellipse changes sign
0
0.34
1994
1