Frederic Runge — accepted AI-conference papers

2025

KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks

Dominik Scheuer, Frederic Runge, Jörg K.H. Franke, Michael T. Wolfinger, Christoph Flamm, Frank Hutter

ICLR 2025poster

RNA is a dynamic biomolecule crucial for cellular regulation, with its function largely determined by its folding into complex structures, while misfolding can lead to multifaceted biological sequelae. During the folding process, RNA traverses through a series of intermediate structural states, with…

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2022

Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design

Jörg Franke, Frederic Runge, Frank Hutter

NeurIPS 2022accept

Our world is ambiguous and this is reflected in the data we use to train our algorithms. This is particularly true when we try to model natural processes where collected data is affected by noisy measurements and differences in measurement techniques. Sometimes, the process itself is ambiguous, such…

Cited by 16 Source ↗PDF ↗code ↗Scholar ↗

2019

Learning to Design RNA

Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter

ICLR 2019poster

Designing RNA molecules has garnered recent interest in medicine, synthetic biology, biotechnology and bioinformatics since many functional RNA molecules were shown to be involved in regulatory processes for transcription, epigenetics and translation. Since an RNA's function depends on its structura…

Cited by 103 Source ↗PDF ↗code ↗Scholar ↗