Datar, Adwait;Datar, Chinmay;Monfared, Zahra;Dietrich, Felix
Role of Parametrization in Learning Dynamics of Recurrent Neural Networks
OPT 2024: Optimization for Machine Learning
2024

Datar, Chinmay;Datar, Adwait;Dietrich, Felix;Schilders, Wil
CONTINUOUS-TIME NEURAL NETWORKS FOR MODELING LINEAR DYNAMICAL SYSTEMS
ICLR 2024 Workshop on AI4DifferentialEquations In Science
2024

Mansour, Youssef;Heckel, Reinhard
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data
14018-14027
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE
2023

Gimpel, Andreas L.;Stark, Wendelin J.;Heckel, Reinhard;Grass, Robert N.
A digital twin for DNA data storage based on comprehensive quantification of errors and biases
Nature Communications
2023
14
1

Bamberger, Stefan;Heckel, Reinhard;Krahmer, Felix
Approximating Positive Homogeneous Functions with Scale Invariant Neural Networks
2023

Wang, Frederic;Qi, Han;De Goyeneche, Alfredo;Heckel, Reinhard;Lustig, Michael;Shimron, Efrat
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets
2023

Weindel, Franziska;Gimpel, Andreas L.;Grass, Robert N.;Heckel, Reinhard
Embracing errors is more effective than avoiding them through constrained coding for DNA data storage
1-8
2023 59th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
IEEE
2023

Klug, Tobit;Atik, Dogukan;Heckel, Reinhard
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
2023

Krainovic, Anselm;Soltanolkotabi, Mahdi;Heckel, Reinhard
Learning Provably Robust Estimators for Inverse Problems via Jittering
2023

LeJeune, Daniel;Liu, Jiayu;Heckel, Reinhard
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
2022