Dominik Jain

Dominik is a computer scientist with a passion for algorithms, software design and automation in general. After receiving his PhD in artificial intelligence from Technische Universität München in 2012, he spent the next 10 years working on applied research and development in the automotive industry. His work leveraged probabilistic modelling, combinatorial optimisation, search algorithms, machine learning and other methodologies to advance AI-based capabilities across a diverse array of problem domains. He joined appliedAI’s TransferLab as a lead researcher in May 2023.

Dominik's work

Training

Beyond Jupyter

Beyond Jupyter is a collection of self-study materials on software design, with a specific focus on machine learning applications, which demonstrates how sound software design can accelerate both development and experimentation.

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
Software

Tianshou: An elegant deep reinforcement learning library

Tianshou is a deep reinforcement learning library based on pure PyTorch. It caters to the needs of researchers and practitioners alike by …

Michael Panchenko Dominik Jain Maximilian Hüttenrauch
Reinforcement Learning
Blog

AutoDev: Exploring Custom LLM-Based Coding Assistance Functions

We explore the potential of custom code assistant functions based on large language models (LLMs). With our open-source software package …

Dominik Jain
Large Language Models
Software

AutoDev: LLM-Based Coding Assistance Functions

AutoDev is a software package for the realisation of coding assistance functions using large language models (LLMs). It covers fine-tuning, …

Dominik Jain
Large Language Models
Pill

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

Is structure learning even necessary? By generating overparametrised, random model structures for sum-product networks, a class of tractable …

Dominik Jain
Probabilistic Models
Pill

Joint Probability Trees

Joint probability trees (JPTs) are a novel formalism for the representation of full-joint distributions over sets of random variables in …

Dominik Jain
Probabilistic Models