Vladimir Golkov

25 papers A* 1Journal 17Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Generation of Musical Timbres using a Text-Guided Diffusion Model. CoRR Weixuan Yuan, Qadeer Khan, Vladimir Golkov
2024	—	`conf`	Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant - GPT4MR. Bildverarbeitung für die Medizin Moritz Zaiss, Junaid R. Rajput, Hoai Nam Dang, Vladimir Golkov, Daniel Cremers, Florian Knoll, Andreas K. Maier
2024	J	`jnl`	How to Choose a Reinforcement-Learning Algorithm. CoRR Fabian Bongratz, Vladimir Golkov, Lukas Mautner, Luca Della Libera, Frederik Heetmeyer, Felix Czaja, Julian Rodemann, Daniel Cremers
2024	J	`jnl`	Interactions Across Blocks in Post-Training Quantization of Large Language Models. CoRR Khasmamad Shabanovi, Lukas Wiest, Vladimir Golkov, Daniel Cremers, Thomas Pfeil
2023	J	`jnl`	Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution. CoRR Hoai Nam Dang, Vladimir Golkov, Thomas Wimmer, Daniel Cremers, Andreas K. Maier, Moritz Zaiss
2023	J	`jnl`	Scale-Equivariant Deep Learning for 3D Data. CoRR Thomas Wimmer, Vladimir Golkov, Hoai Nam Dang, Moritz Zaiss, Andreas Maier, Daniel Cremers
2021	—	`—`	Deep learning and variational analysis for high-dimensional and geometric biomedical data. Vladimir Golkov
2021	J	`jnl`	Rotation-Equivariant Deep Learning for Diffusion MRI. CoRR Philip Müller, Vladimir Golkov, Valentina Tomassini, Daniel Cremers
2021	J	`jnl`	Scene Graph Generation for Better Image Captioning? CoRR Maximilian Mozes, Martin Schmitt, Vladimir Golkov, Hinrich Schütze, Daniel Cremers
2020	—	`conf`	3D Deep Learning for Biological Function Prediction from Physical Fields. 3DV Vladimir Golkov, Marcin J. Skwark, Atanas Mirchev, Georgi Dikov, Alexander R. Geanes, Jeffrey L. Mendenhall, Jens Meiler, Daniel Cremers
2020	J	`jnl`	Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions. CoRR Vladimir Golkov, Alexander Becker, Daniel T. Plop, Daniel Cuturilo, Neda Davoudi, Jeffrey L. Mendenhall, Rocco Moretti, Jens Meiler, Daniel Cremers
2020	J	`jnl`	Speech Synthesis and Control Using Differentiable DSP. CoRR Giorgio Fabbro, Vladimir Golkov, Thomas Kemp, Daniel Cremers
2019	J	`jnl`	Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods. CoRR Luca Della Libera, Vladimir Golkov, Yue Zhu, Arman Mielke, Daniel Cremers
2019	J	`jnl`	Learning to Evolve. CoRR Jan Schuchardt, Vladimir Golkov, Daniel Cremers
2018	—	`conf`	Associative Deep Clustering: Training a Classification Network with No Labels. GCPR Philip Häusser, Johannes Plapp, Vladimir Golkov, Elie Aljalbout, Daniel Cremers
2018	J	`jnl`	Clustering with Deep Learning: Taxonomy and New Methods. CoRR Elie Aljalbout, Vladimir Golkov, Yawar Siddiqui, Daniel Cremers
2018	J	`jnl`	q-Space Novelty Detection with Variational Autoencoders. CoRR Aleksei Vasilev, Vladimir Golkov, Ilona Lipp, Eleonora Sgarlata, Valentina Tomassini, Derek K. Jones, Daniel Cremers
2017	J	`jnl`	3D Deep Learning for Biological Function Prediction from Physical Fields. CoRR Vladimir Golkov, Marcin J. Skwark, Atanas Mirchev, Georgi Dikov, Alexander R. Geanes, Jeffrey L. Mendenhall, Jens Meiler, Daniel Cremers
2017	J	`jnl`	Regularization for Deep Learning: A Taxonomy. CoRR Jan Kukacka, Vladimir Golkov, Daniel Cremers
2016	—	`conf`	Model-free novelty-based diffusion MRI. ISBI Vladimir Golkov, Tim Sprenger, Jonathan Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Daniel Cremers
2016	—	`conf`	Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images. NIPS Vladimir Golkov, Marcin J. Skwark, Antonij Golkov, Alexey Dosovitskiy, Thomas Brox, Jens Meiler, Daniel Cremers
2016	J	`jnl`	q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. IEEE Trans. Medical Imaging Vladimir Golkov, Alexey Dosovitskiy, Jonathan I. Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Thomas Brox, Daniel Cremers
2015	A*	`conf`	FlowNet: Learning Optical Flow with Convolutional Networks. ICCV Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015	J	`jnl`	FlowNet: Learning Optical Flow with Convolutional Networks. CoRR Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015	—	`conf`	q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. MICCAI (1) 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