Maksim Zhdanov

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 11

Top Topics

Bayesian Inference

Brain Connectivity

Gaussian Kernels

Machine Learning

Top Venues

DGM4MICCAI@MICCAI

Publications

Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré
Clifford-Steerable Convolutional Neural Networks. CoRR (2024)
Maksim Zhdanov, Andrey Zhdanov
Machine learning-assisted close-set X-ray diffraction phase identification of transition metals. CoRR (2023)
Maksim Zhdanov, Stanislav Dereka, Sergey Kolesnikov
Unveiling Empirical Pathologies of Laplace Approximation for Uncertainty Estimation. CoRR (2023)
Maksim Zhdanov, Ivan Karpukhin
Catching Image Retrieval Generalization. CoRR (2023)
Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa
Implicit Convolutional Kernels for Steerable CNNs. NeurIPS (2023)
Maksim Zhdanov, Lisa Randolph, Thomas Kluge, Motoaki Nakatsutsumi, Christian Gutt, Marina Ganeva, Nico Hoffmann
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows. CoRR (2022)
Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer. CoRR (2022)
Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer. ICPR (2022)
Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
Learning Generative Factors of Neuroimaging Data with Variational auto-encoders. CoRR (2022)
Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa
Implicit Neural Convolutional Kernels for Steerable CNNs. CoRR (2022)
Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
Learning Generative Factors of EEG Data with Variational Auto-Encoders. DGM4MICCAI@MICCAI (2022)