Florian Krach - RankMe

17 papers A* 2Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models. ICLR Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Blanka Horvath, Frank Rudzicz
2025	J	`jnl`	Neural Jump ODEs as Generative Models. CoRR Robert A. Crowell, Florian Krach, Josef Teichmann
2025	J	`jnl`	Revealing the temporal dynamics of antibiotic anomalies in the infant gut microbiome with neural jump ODEs. CoRR Anja Adamov, Markus Chardonnet, Florian Krach, Jakob Heiss, Josef Teichmann, Nicholas A. Bokulich
2024	J	`jnl`	Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework. Trans. Mach. Learn. Res. William Andersson, Jakob Heiss, Florian Krach, Josef Teichmann
2024	J	`jnl`	Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models. CoRR Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Jacob-Junqi Tian, John Willes, Blanka Horvath, Frank Rudzicz
2024	J	`jnl`	Learning Chaotic Systems and Long-Term Predictions with Neural Jump ODEs. CoRR Florian Krach, Josef Teichmann
2024	J	`jnl`	Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs. CoRR Jakob Heiss, Florian Krach, Thorsten Schmidt, Félix B. Tambe-Ndonfack
2024	J	`jnl`	Robust Utility Optimization via a GAN Approach. CoRR Florian Krach, Josef Teichmann, Hanna Wutte
2023	J	`jnl`	Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices. Trans. Mach. Learn. Res. Calypso Herrera, Florian Krach, Anastasis Kratsios, Pierre Ruyssen, Josef Teichmann
2023	J	`jnl`	Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework. CoRR William Andersson, Jakob Heiss, Florian Krach, Josef Teichmann
2023	J	`jnl`	Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing. CoRR Xuwei Yang, Anastasis Kratsios, Florian Krach, Matheus R. Grasselli, Aurélien Lucchi
2022	J	`jnl`	Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs. CoRR Florian Krach, Marc Nübel, Josef Teichmann
2021	A*	`conf`	Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering. ICLR Calypso Herrera, Florian Krach, Josef Teichmann
2021	J	`jnl`	Optimal Stopping via Randomized Neural Networks. CoRR Calypso Herrera, Florian Krach, Pierre Ruyssen, Josef Teichmann
2020	J	`jnl`	Denise: Deep Learning based Robust PCA for Positive Semidefinite Matrices. CoRR Calypso Herrera, Florian Krach, Josef Teichmann
2020	J	`jnl`	Estimating Full Lipschitz Constants of Deep Neural Networks. CoRR Calypso Herrera, Florian Krach, Josef Teichmann
2020	J	`jnl`	Theoretical Guarantees for Learning Conditional Expectation using Controlled ODE-RNN. CoRR Calypso Herrera, Florian Krach, Josef Teichmann