Maksim Zhdanov

According to our database, Maksim Zhdanov authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Uncertainty-aware Machine Learning Interatomic Potentials via Learned Functional Perturbations.

Olga Zaghen, Maksim Zhdanov, Dario Coscia, David R. Wessels, Erik J. Bekkers

CoRR, May, 2026

Follow the Mean: Reference-Guided Flow Matching.

Pedro M. P. Curvo, Maksim Zhdanov, Floor Eijkelboom, Jan-Willem van de Meent

CoRR, May, 2026

(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models.

Maksim Zhdanov, Ana Lucic, Max Welling, Jan-Willem van de Meent

CoRR, April, 2026

2025

MSPT: Efficient Large-Scale Physical Modeling via Parallelized Multi-Scale Attention.

Pedro M. P. Curvo, Jan-Willem van de Meent, Maksim Zhdanov

CoRR, December, 2025

Conditional Clifford-Steerable CNNs with Complete Kernel Basis for PDE Modeling.

Bálint László Szarvas, Maksim Zhdanov

CoRR, October, 2025

BSA: Ball Sparse Attention for Large-scale Geometries.

Catalin E. Brita, Hieu Nguyen, Lohithsai Yadala Chanchu, Domonkos Nagy, Maksim Zhdanov

CoRR, June, 2025

AdS-GNN - a Conformally Equivariant Graph Neural Network.

Maksim Zhdanov, Nabil Iqbal, Erik J. Bekkers, Patrick Forré

CoRR, May, 2025

Adaptive Mesh Quantization for Neural PDE Solvers.

Winfried van den Dool, Maksim Zhdanov, Yuki M. Asano, Max Welling

Trans. Mach. Learn. Res., 2025

Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems.

Maksim Zhdanov, Max Welling, Jan-Willem van de Meent

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Clifford-Steerable Convolutional Neural Networks.

Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Implicit Convolutional Kernels for Steerable CNNs.

Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Implicit Neural Convolutional Kernels for Steerable CNNs.

Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa

CoRR, 2022

Amortized Bayesian Inference of GISAXS Data with Normalizing Flows.

Maksim Zhdanov, Lisa Randolph, Thomas Kluge, Motoaki Nakatsutsumi, Christian Gutt, Marina Ganeva, Nico Hoffmann

CoRR, 2022

Learning Generative Factors of Neuroimaging Data with Variational auto-encoders.

Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann

CoRR, 2022

Learning Generative Factors of EEG Data with Variational Auto-Encoders.

Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer.

Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann

Proceedings of the 26th International Conference on Pattern Recognition, 2022