FlowNet: Learning Optical Flow with Convolutional Networks. - Alexey Dosovitskiy; Philipp Fischer; Eddy Ilg; Philip Häusser; Caner Hazirbas; Vladimir Golkov; Patrick van der Smagt; Daniel Cremers; Thomas Brox (ICCV, 2015)

q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. - Vladimir Golkov; Alexey Dosovitskiy; Philipp G. Sämann; Jonathan I. Sperl; Tim Sprenger; Michael Czisch; Marion I. Menzel; Pedro A. Gómez; Axel Haase; Thomas Brox; Daniel Cremers (MICCAI (1), 2015)

Model-free novelty-based diffusion MRI. - Vladimir Golkov; Tim Sprenger; Jonathan Sperl; Marion I. Menzel; Michael Czisch; Philipp G. Sämann; Daniel Cremers (ISBI, 2016)

Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images. - Vladimir Golkov; Marcin J. Skwark; Antonij Golkov; Alexey Dosovitskiy; Thomas Brox; Jens Meiler; Daniel Cremers (NIPS, 2016)

q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. - Vladimir Golkov; Alexey Dosovitskiy; Jonathan I. Sperl; Marion I. Menzel; Michael Czisch; Philipp G. Sämann; Thomas Brox; Daniel Cremers (IEEE Trans. Medical Imaging, 2016)

Regularization for Deep Learning: A Taxonomy. - Jan Kukacka; Vladimir Golkov; Daniel Cremers (CoRR, 2017)

Associative Deep Clustering: Training a Classification Network with No Labels. - Philip Häusser; Johannes Plapp; Vladimir Golkov; Elie Aljalbout; Daniel Cremers (GCPR, 2018)

Clustering with Deep Learning: Taxonomy and New Methods. - Elie Aljalbout; Vladimir Golkov; Yawar Siddiqui; Daniel Cremers (CoRR, 2018)

q-Space Novelty Detection with Variational Autoencoders. - Aleksei Vasilev; Vladimir Golkov; Ilona Lipp; Eleonora Sgarlata; Valentina Tomassini; Derek K. Jones; Daniel Cremers (CoRR, 2018)

Learning to Evolve. - Jan Schuchardt; Vladimir Golkov; Daniel Cremers (CoRR, 2019)

Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods. - Luca Della Libera; Vladimir Golkov; Yue Zhu; Arman Mielke; Daniel Cremers (CoRR, 2019)

3D Deep Learning for Biological Function Prediction from Physical Fields. - Vladimir Golkov; Marcin J. Skwark; Atanas Mirchev; Georgi Dikov; Alexander R. Geanes; Jeffrey L. Mendenhall; Jens Meiler; Daniel Cremers (3DV, 2020)

Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions. - Vladimir Golkov; Alexander Becker; Daniel T. Plop; Daniel Cuturilo; Neda Davoudi; Jeffrey L. Mendenhall; Rocco Moretti; Jens Meiler; Daniel Cremers (CoRR, 2020)

Speech Synthesis and Control Using Differentiable DSP. - Giorgio Fabbro; Vladimir Golkov; Thomas Kemp; Daniel Cremers (CoRR, 2020)

Rotation-Equivariant Deep Learning for Diffusion MRI. - Philip Müller; Vladimir Golkov; Valentina Tomassini; Daniel Cremers (CoRR, 2021)

Scene Graph Generation for Better Image Captioning? - Maximilian Mozes; Martin Schmitt; Vladimir Golkov; Hinrich Schütze; Daniel Cremers (CoRR, 2021)

Deep learning and variational analysis for high-dimensional and geometric biomedical data. - Vladimir Golkov (2021)

Scale-Equivariant Deep Learning for 3D Data. - Thomas Wimmer 001; Vladimir Golkov; Hoai Nam Dang; Moritz Zaiss; Andreas Maier 001; Daniel Cremers (CoRR, 2023)

Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution. - Hoai Nam Dang; Vladimir Golkov; Thomas Wimmer 001; Daniel Cremers; Andreas K. Maier; Moritz Zaiss (CoRR, 2023)

Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant - GPT4MR. - Moritz Zaiss; Junaid R. Rajput; Hoai Nam Dang; Vladimir Golkov; Daniel Cremers; Florian Knoll; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

How to Choose a Reinforcement-Learning Algorithm. - Fabian Bongratz; Vladimir Golkov; Lukas Mautner; Luca Della Libera; Frederik Heetmeyer; Felix Czaja; Julian Rodemann; Daniel Cremers (CoRR, 2024)

Interactions Across Blocks in Post-Training Quantization of Large Language Models. - Khasmamad Shabanovi; Lukas Wiest; Vladimir Golkov; Daniel Cremers; Thomas Pfeil (CoRR, 2024)

Generation of Musical Timbres using a Text-Guided Diffusion Model. - Weixuan Yuan; Qadeer Khan; Vladimir Golkov (CoRR, 2025)