Eric SchreiberHi, I'm Eric, working in research at Aleph Alpha on large-scale neural networks . My work focuses on efficiency at scale, designing models and systems that are both numerically robust and fast to train and run. I'm interested in neural network architecture, optimization, and high-performance parallel code. |
|
Publications |
|
Reasoning Language Models: A BlueprintMaciej Besta, Julia Barth, Eric Schreiber, Ales Kubicek, Afonso Catarino, et al. arXiv, January 2025 arxiv / code / A blueprint for reasoning language models (RLMs), showing building blocks for structured reasoning, search, and RL-based rollouts. Implementing x1, a composable RLM framework. |
|
CheckEmbed: Effective Verification of LLM Solutions to Open-Ended TasksMaciej Besta, Lorenzo Paleari, Marcin Copik, Robert Gerstenberger, Ales Kubicek, et al. arXiv, June 2024 arxiv / code / Using embedding vectors of multiple solutions to a given task to gauge their similarity and infer from this the likelihood of a solution being correct. |
Blogposts |
|
Demystifying CuTe: Building High-Performance GEMMsblogpost / code / Part 2 of 2 — From copy kernels to fast matrix multiplication |
|
Demystifying CuTe: Understanding Layout Algebrablogpost / code / Part 1 of 2 — From conceptual foundations to efficient memory operations |
|
MoE Inference Economics from First Principlesblogpost / DeepSeek 🐳, Kimi, synthetic data markets and the token overcapacity issue |
Projects |
|
Design and source code from Jon Barron's website |