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Physics-based Deep Learning

Physics-based Deep Learning

N. Thuerey, B. Holzschuh, P. Holl, G. Kohl, M. Lino, Q. Liu, ...

Theory and Computation of Electromagnetic Fields

Theory and Computation of Electromagnetic Fields

Jian-Ming Jin

Reading, Writing, and Proving: A Closer Look at Mathematics

Reading, Writing, and Proving: A Closer Look at Mathematics

Ulrich Daepp & Pamela Gorkin

Introduction to the Theory of Computation (Third Edition): Ji Suan Li Lun Dao Yin (Ying Wen Ban Di 3 Ban)

Introduction to the Theory of Computation (Third Edition): Ji ...

Michael Sipser

Publisher: MIT Press

Learning Theory From First Principles

Learning Theory From First Principles

Francis Bach

Learning Theory From First Principles

Learning Theory From First Principles

Francis Bach

Proof and the Art of Mathematics: Examples and Extensions

Proof and the Art of Mathematics: Examples and Extensions

Joel David Hamkins

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller & Nir Friedman

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller & Nir Friedman

Machine Learning, Second Edition: A Probabilistic Perspective

Machine Learning, Second Edition: A Probabilistic Perspective

Kevin P. Murphy

Introduction to Algorithms, Third Edition

Introduction to Algorithms, Third Edition

Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein

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