Papers

This section contains papers I have explored and/or find interesting.

• Microarrays, Empirical Bayes and the Two-Groups Model

• Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis

• Inference for a Bernoulli Process (A Bayesian View)

• Approximate Models and Robust Decisions

• Bayesian Analysis of the Weibull Process with Unknown Scale Parameter and Its Application to Acceptance Sampling

• Online Updating of Statistical Inference in the Big Data Setting

• The Moral Machine experiment

• A Primer on Interpreting Regression Models

• Interpretation of Interaction: A Review

• Ethics in Controlled Experiments

• Logistic regression over encrypted data from fully homomorphic encryption

• A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning

Deep Learning

• Neural discrete representation learning

• Generating Diverse High-Fidelity Images with VQ-VAE-2

Visualisation

• A layered grammar of graphics

• Visualizing Data using t-SNE

Probabilistic Modelling

• Probabilistic Sequential Matrix Factorization

• Dictionary filtering: a probabilistic approach to online matrix factorisation

Computer Vision & Geometry

• Dual Contouring of Hermite Data

• Dual Contouring: "The Secret Sauce"

• Neural Dual Contouring and code and data

• Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting and Project Page

LLMs:

• LoRA: Low-Rank Adaptation of Large Language Models

• A Survey on LLM-as-a-Judge

• Foundations of Large Language Models

• Agents (Google's whitepaper)

• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

• Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

• FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI

• ARC Prize 2024: Technical Report

• Chain-of-Retrieval Augmented Generation