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Physical Review. E|March 19, 2025
Discovering candidates for integrable systems via backpropagationSubhash Kantamneni, Ziming Liu, Max TegmarkEntropy (Basel, Switzerland)|November 27, 2024
How Do Transformers Model Physics? Investigating the Simple Harmonic OscillatorSubhash Kantamneni, Ziming Liu, Max TegmarkPhysical Review Letters|May 21, 2021
Machine Learning Conservation Laws from TrajectoriesZiming Liu, Max TegmarkEntropy (Basel, Switzerland)|January 22, 2024
Seeing Is Believing: Brain-Inspired Modular Training for Mechanistic InterpretabilityZiming Liu, Eric Gan, Max TegmarkPhysical Review. E|November 18, 2022
Machine learning conservation laws from differential equationsZiming Liu, Varun Madhavan, Max TegmarkPhysical Review. E|April 18, 2025
GenEFT: Understanding statics and dynamics of model generalization via physics-inspired effective theoryDavid D Baek, Ziming Liu, Max TegmarkEntropy (Basel, Switzerland)|January 21, 2023
Precision Machine LearningEric J Michaud, Ziming Liu, Max TegmarkPhysical Review. E|March 16, 2024
Interpretable conservation laws as sparse invariantsZiming Liu, Patrick Obin Sturm, Saketh Bharadwaj, et al.Physical Review. E|December 24, 2021
Machine-learning nonconservative dynamics for new-physics detectionZiming Liu, Bohan Wang, Qi Meng, et al.Pageof 15