Jarlold's Website

These are thing I have been intending to read. The ones in bold I am currently reading. The ones crossed out I've finished reading. If you know me from somewhere, feel free to recommend I read or re-implement something. Don't recommend dumb things (like fiction books or political content).

Books:

• Genetic Algorithm Essentials
• Guide To Simulating and Modeling in Biosciences
• Procedural Generation in Game Design
• Game Physics Engine Development
• Data Science for Business
• Sutton and Barto's Reinforcement Learning
• FEM Simulation of 3D Deformable Solids: A practitioner’s guide to theory
• Computer Vision: Algorithms and Applications (Szeliski)
• The Matrix Calculus You Need For Deep Learning - Parr and Howard
• The Scientist and Engineer's Guide to Digital Signal Processing

Papers:

• Biologically Inspired Oscillating Activation Functions [link]
• Addition Is All You Need [link]
• The Unreasonable Ineffectiveness of Deeper Layers [link]
• Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI [link]
• Principles towards Real-Time Simulation of Material Point Method on Modern GPU [link]
• UL2: Unifying Language Learning Paradigms [link]
• Towards Realtime: A Hybrid Physics-based Method for Hair Animation on GPU [link]
• Mixture of A Million Experts [link]
• Reverse Training to Nurse the Reversal Curse [link]
• The False Promise of Imitating Proprietary LLMs [link]
• Deep Differentiable Logic Gate Networks [link]
• Scaling Instruction-Finetuned Language Models [link]
• LIDA: A Systems-level Architecture for Cognition, Emotion [link]
• The LIDA Tutorial [link]
• Relaxed Recursive Transformers [link]
• FREEVC: Towards High Quality Text-Free One-Shot Voice Conversion [link]