Kristof Schröder
After completing his PhD in applied mathematics, specializing in applied harmonic and numerical analysis, Kristof developed a keen interest in the rapidly evolving field of artificial intelligence. This interest inspired him to transition his career towards AI engineering, where he spent the next five years working on various machine learning projects. In May 2023, he joined the TransferLab team.

Kristof's work

Pill

Symmetry Teleportation for Accelerated Optimization

A novel approach, symmetry teleportation, enhances convergence speed in gradient-based optimization by allowing parameters to traverse …

Faried Abu Zaid Kristof Schröder
Optimization in ML
Seminar

Second-Order Information and Applications

Kristof Schröder will talk about second-order information and its applications in machine learning.

Kristof Schröder
Optimization in ML
Training

Beyond Jupyter

Beyond Jupyter is a collection of self-study materials on software design, with a specific focus on machine learning applications, which …

Software

sensAI: The Python Library for Sensible AI

sensAI is a high-level AI toolkit with a specific focus on rapid experimentation for machine learning applications. It provides a unifying …

Dominik Jain Michael Panchenko Kristof Schröder
Pill

DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Accurately computing influence functions involves solving inverse Hessian problems, a challenging task as the parameter count increases, …

Kristof Schröder
Data Valuation
Seminar

An information-theoretic perspective on model interpretation

In the ninth seminar of our XAI series, Kristof Schröder, Senior Research Engineer at appliedAI, will discuss how maximizing mutual …

Kristof Schröder
Explainable AI
Pill

Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

The process of pre-training large language models can incur significant expenses. As these models continue to grow in size, there is an …

Kristof Schröder
Optimization in ML
Software

pyDVL: the python Data Valuation Library

pyDVL strives to offer reference implementations of algorithms for data valuation and influence function computation, with an emphasis on …

Anes Benmerzoug Miguel de Benito Delgado Janoś Gabler Fabio Peruzzo Kristof Schröder Markus Semmler
Data Valuation