Märtens, Kaspar

9 publications

ICLRW 2025 A Scalable LLM Framework for Therapeutic Biomarker Discovery: Grounding Q/A Generation in Knowledge Graphs and Literature Marc Boubnovski Martell, Kaspar Märtens, Lawrence Phillips, Daniel Keitley, Maria Dermit, Julien Fauqueur

ICLRW 2025 Grounding QA Generation in Knowledge Graphs and Literature: A Scalable LLM Framework for Scientific Discovery Marc Boubnovski Martell, Kaspar Märtens, Lawrence Phillips, Daniel Keitley, Maria Dermit, Julien Fauqueur

ICLRW 2025 LangPert: LLM-Driven Contextual Synthesis for Unseen Perturbation Prediction Kaspar Märtens, Marc Boubnovski Martell, Cesar A. Prada-Medina, Rory Donovan-Maiye

ICLRW 2024 Enhancing Generative Perturbation Models with LLM-Informed Gene Embeddings Kaspar Märtens, Rory Donovan-Maiye, Jesper Ferkinghoff-Borg

NeurIPS 2023 Deep Stochastic Processes via Functional Markov Transition Operators Jin Xu, Emilien Dupont, Kaspar Märtens, Thomas Rainforth, Yee Whye Teh

AISTATS 2020 BasisVAE: Translation-Invariant Feature-Level Clustering with Variational Autoencoders Kaspar Märtens, Christopher Yau

AISTATS 2020 Neural Decomposition: Functional ANOVA with Variational Autoencoders Kaspar Märtens, Christopher Yau

AISTATS 2019 Augmented Ensemble MCMC Sampling in Factorial Hidden Markov Models Kaspar Märtens, Michalis Titsias, Christopher Yau

ICML 2019 Decomposing Feature-Level Variation with Covariate Gaussian Process Latent Variable Models Kaspar Märtens, Kieran Campbell, Christopher Yau