Florian Krach

ETH Zurich — Switzerland

Physics and Astronomy · Physical Sciences

6h-index209citations20works0.32yr avg
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Research Topics

Model Reduction and Neural Networks(5), Chronic Obstructive Pulmonary Disease (COPD) Research(3), Neural Networks and Applications(3), Obesity, Physical Activity, Diet(2), Topic Modeling(2)

Publications20 total

Synchronizing pretrained kernel regressors with applications to American option pricing
Frontiers of Mathematical Finance·2026Open Access
Neural Jump ODEs as Generative Models
arXiv (Cornell University)·2025Open Access
Nonparametric filtering, estimation and classification using neural jump ODEs
Statistics & Risk Modeling·2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models
arXiv (Cornell University)·2024Open Access
THE FINANCIAL IMPACT OF CARBON EMISSIONS ON POWER UTILITIES UNDER CLIMATE SCENARIOS
International Journal of Theoretical and Applied Finance·2024· 1 citedOpen Access
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models
SSRN Electronic Journal·2024· 1 citedOpen Access
The effect of body compartments on lung function in childhood and adolescence
Clinical Nutrition·2023· 4 citedOpen Access
Optimal stopping via randomized neural networks
Frontiers of Mathematical Finance·2023· 8 citedOpen Access
The Financial Impact of Carbon Emissions on Power Utilities Under Climate Scenarios
SSRN Electronic Journal·2023· 2 citedOpen Access
The longitudinal impact of body compartments on lung function in children, adolescents, and adults
2022
Using Body Composition Groups to Identify Children and Adolescents at Risk of Dyslipidemia
Children·2021· 11 citedOpen Access
Appendicular lean mass - a driver of low lung function in children? Data from the population-based LEAD (Lung, hEart, sociAl, boDy) cohort
2021
Reference charts for body composition parameters by dual‐energy X‐ray absorptiometry in European children and adolescents aged 6 to 18 years—Results from the Austrian <scp>LEAD</scp> (Lung, <scp>hEart</scp>, <scp>sociAl</scp>, <scp>boDy</scp>) cohort
Pediatric Obesity·2020· 34 citedOpen Access
Neural Jump Ordinary Differential Equations: Consistent Continuous-Time\n Prediction and Filtering
arXiv (Cornell University)·2020· 8 citedOpen Access
Theoretical Guarantees for Learning Conditional Expectation using Controlled ODE-RNN.
arXiv (Cornell University)·2020· 4 citedOpen Access
Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering
arXiv (Cornell University)·2020· 1 citedOpen Access
Denise: Deep Learning based Robust PCA for Positive Semidefinite Matrices.
arXiv (Cornell University)·2020· 7 citedOpen Access
Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices
arXiv (Cornell University)·2020· 2 citedOpen Access
Reference values of body composition parameters and visceral adipose tissue (VAT) by DXA in adults aged 18–81 years—results from the LEAD cohort
European Journal of Clinical Nutrition·2020· 121 citedOpen Access
Estimating Full Lipschitz Constants of Deep Neural Networks
RePEc: Research Papers in Economics·2020· 5 cited

Frequent Co-authors

Josef Teichmann(8), Calypso Herrera(7), Alina Ofenheimer(6), Robab Breyer‐Kohansal(6), Otto C. Burghuber(6), Sylvia Hartl(5), Emiel F.�M. Wouters(5), Frits M.E. Franssen(5), Marie‐Kathrin Breyer(5), Anastasis Kratsios(4), Andrea Schrott(2), Pierre Ruyssen(2), Caspar Schiffers(2), Andrea Macrina(2), Ashley Kanter(2), Eba Hampwaye(2), Siphokazi Hlalukana(2), Raeid Saqur(2), Blanka Horvath(2), Jacob-Junqi Tian(2)