📗 Currently Reading
Quantum Computation and Quantum Information
by Michael A. Nielsen & Isaac L. Chuang
The bible of quantum computing. Essential reading for anyone interested in quantum-inspired numerical algorithms.
45% completed · Chapter 5: Quantum Algorithms
Deep Learning
by Ian Goodfellow, Yoshua Bengio & Aaron Courville
The definitive textbook on deep learning. Revisiting key chapters to strengthen the theoretical foundations of my ML-PDE work.
72% completed · Chapter 14: Autoencoders
Numerical Solution of Partial Differential Equations by the Finite Element Method
by Claes Johnson
Classic text on FEM. Reading to compare finite element approaches with my current finite volume and spectral methods research.
30% completed · Chapter 3: Weak Formulations
📙 On My Reading List
The Principles of Deep Learning Theory
by Daniel A. Roberts, Sho Yaida & Boris Hanin
A theoretical physics approach to understanding why deep learning works. Perfect for bridging my math background with modern ML theory.
Mathematics for Machine Learning
by Marc Peter Deisenroth, A. Aldo Faisal & Cheng Soon Ong
A rigorous mathematical foundation for ML. Want to use this as a reference for teaching and research.
Fourier Neural Operator for Parametric Partial Differential Equations
by Li et al. (Paper + Extended Notes)
The seminal FNO paper and related works. Planning a deep study to potentially integrate neural operators into my solver framework.
Gödel, Escher, Bach: An Eternal Golden Braid
by Douglas R. Hofstadter
A classic exploration of consciousness, recursion, and self-reference. For the curious mathematician in me.
Recently Finished
📘 Recently Completed
Reinforcement Learning: An Introduction
by Richard S. Sutton & Andrew G. Barto
The foundational text on RL. Helped me understand how to frame numerical viscosity optimization as a reinforcement learning problem.
High-Order Methods for Incompressible Fluid Flow
by M. O. Deville, P. F. Fischer & E. H. Mund
Excellent reference on spectral element methods for fluid dynamics. Directly applicable to my research on high-resolution solvers.