Florian Krach

According to our database, Florian Krach authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Neural Jump ODEs as Generative Models.

Robert A. Crowell, Florian Krach, Josef Teichmann

CoRR, October, 2025

Revealing the temporal dynamics of antibiotic anomalies in the infant gut microbiome with neural jump ODEs.

Anja Adamov, Markus Chardonnet, Florian Krach, Jakob Heiss, Josef Teichmann, Nicholas A. Bokulich

CoRR, October, 2025

Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models.

Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Blanka Horvath, Frank Rudzicz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework.

William Andersson, Jakob Heiss, Florian Krach, Josef Teichmann

Trans. Mach. Learn. Res., 2024

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs.

Jakob Heiss, Florian Krach, Thorsten Schmidt, Félix B. Tambe-Ndonfack

CoRR, 2024

Learning Chaotic Systems and Long-Term Predictions with Neural Jump ODEs.

Florian Krach, Josef Teichmann

CoRR, 2024

Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models.

Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Jacob-Junqi Tian, John Willes, Blanka Horvath, Frank Rudzicz

CoRR, 2024

Robust Utility Optimization via a GAN Approach.

Florian Krach, Josef Teichmann, Hanna Wutte

CoRR, 2024

2023

Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices.

Calypso Herrera, Florian Krach, Anastasis Kratsios, Pierre Ruyssen, Josef Teichmann

Trans. Mach. Learn. Res., 2023

Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing.

Xuwei Yang, Anastasis Kratsios, Florian Krach, Matheus R. Grasselli, Aurélien Lucchi

CoRR, 2023

2022

Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs.

Florian Krach, Marc Nübel, Josef Teichmann

CoRR, 2022

2021

Optimal Stopping via Randomized Neural Networks.

Calypso Herrera, Florian Krach, Pierre Ruyssen, Josef Teichmann

CoRR, 2021

Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering.

Calypso Herrera, Florian Krach, Josef Teichmann

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Theoretical Guarantees for Learning Conditional Expectation using Controlled ODE-RNN.

Calypso Herrera, Florian Krach, Josef Teichmann

CoRR, 2020

Denise: Deep Learning based Robust PCA for Positive Semidefinite Matrices.

Calypso Herrera, Florian Krach, Josef Teichmann

CoRR, 2020

Estimating Full Lipschitz Constants of Deep Neural Networks.

Calypso Herrera, Florian Krach, Josef Teichmann

CoRR, 2020