pbrt 中文整合翻译 基于物理的渲染：从理论到实现 Physically Based Rendering: From Theory To Implementation

Reinforcement learning theory book about foundations of deep RL algorithms with proofs.

Course materials for Dartmouth course: Human Memory (PSYC 51.09)

Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation

Source code for lecture notes

🎓 Ph.D. thesis: Towards realistic numerical simulations of Majorana devices

My Master's thesis. Reinforcement Learning for LTLf/LDLf goals.

My master thesis on Whitebox cryptography & AES Whitebox schemes.

Tom's PhD Macro Theory Book

Papers, notes and assignments related to my it security studies at brandenburg university of applied science.

VUTBR - FIT: MAT 2018/2019

Machine learning theory

Repository written in LaTeX containing notes and lecture notes from the Theory and Practice of Algorithms course that I took during the Summer of 2020 at Hokkaido University.

Notes from Professor Michael Kearns' CIS 625 course on Computational Learning Theory - by @jtcho, me, and @bradyneal

ENSAI : Stage 2A - modèles additifs fonctionnels & déconvolution

English notes for the course of "Artificial Intelligence", LateX, A.A. 2021/2022 for MSc's in Computer Science.

Performed under the supervision of Dr. Theresa Migler-VonDollen

Code and build pipeline for Two-Photon Bunching from Geometric Phase Diffusion: Hong–Ou–Mandel Interference without Wavefunctions (Dual-Frame Theory). Reproducible figures/tables and LaTeX paper build.