I studied physics and computer engineering with dreams of doing a PhD in high energy or condensed matter theory, but alas I sold out to the data science industry.
My favorite papers,
- "A Theoretical Framework for Back-Propagation" by Yann le Cun
- "Information Theory and Statistical Mechanics" by E. T. Jaynes
- "The wavelet transform, time-frequency localization and signal analysis" by Ingid Daubechies
- "Equation of State Calculations by Fast Computing Machines" by Metropolis et al.
- "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images" by Geman and Geman
- "Nonlinear Programming" by Kuhn and Tucker
- "The Generalized Simplex Method for Minimizing a Linear Form under Linear Inequality Restraints" by Dantzig et al.
- "Coherent States for Arbitrary Lie Group" by Perelomov
- "A discrete time multiresolution theory" by Rioul
- "Derivation of the Schrodinger Equation from Newtonian Mechanics" by Nelson
- "MCMC using Hamiltonian dynamics" by Radford M. Neal
San Diego, CA, United States
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