Maksim Zhdanov

17 papers A* 3B 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AdS-GNN - a Conformally Equivariant Graph Neural Network. CoRR Maksim Zhdanov, Nabil Iqbal, Erik J. Bekkers, Patrick Forré
2025	J	`jnl`	Adaptive Mesh Quantization for Neural PDE Solvers. Trans. Mach. Learn. Res. Winfried van den Dool, Maksim Zhdanov, Yuki M. Asano, Max Welling
2025	J	`jnl`	Adaptive Mesh-Quantization for Neural PDE Solvers. CoRR Winfried van den Dool, Maksim Zhdanov, Yuki M. Asano, Max Welling
2025	J	`jnl`	BSA: Ball Sparse Attention for Large-scale Geometries. CoRR Catalin E. Brita, Hieu Nguyen, Lohithsai Yadala Chanchu, Domonkos Nagy, Maksim Zhdanov
2025	J	`jnl`	Conditional Clifford-Steerable CNNs with Complete Kernel Basis for PDE Modeling. CoRR Bálint László Szarvas, Maksim Zhdanov
2025	A*	`conf`	Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems. ICML Maksim Zhdanov, Max Welling, Jan-Willem van de Meent
2025	J	`jnl`	Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems. CoRR Maksim Zhdanov, Max Welling, Jan-Willem van de Meent
2025	J	`jnl`	MSPT: Efficient Large-Scale Physical Modeling via Parallelized Multi-Scale Attention. CoRR Pedro M. P. Curvo, Jan-Willem van de Meent, Maksim Zhdanov
2024	A*	`conf`	Clifford-Steerable Convolutional Neural Networks. ICML Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré
2024	J	`jnl`	Clifford-Steerable Convolutional Neural Networks. CoRR Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré
2023	A*	`conf`	Implicit Convolutional Kernels for Steerable CNNs. NeurIPS Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa
2022	J	`jnl`	Amortized Bayesian Inference of GISAXS Data with Normalizing Flows. CoRR Maksim Zhdanov, Lisa Randolph, Thomas Kluge, Motoaki Nakatsutsumi, Christian Gutt, Marina Ganeva, Nico Hoffmann
2022	J	`jnl`	Implicit Neural Convolutional Kernels for Steerable CNNs. CoRR Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa
2022	B	`conf`	Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer. ICPR Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
2022	J	`jnl`	Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer. CoRR Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
2022	—	`conf`	Learning Generative Factors of EEG Data with Variational Auto-Encoders. DGM4MICCAI@MICCAI Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann
2022	J	`jnl`	Learning Generative Factors of Neuroimaging Data with Variational auto-encoders. CoRR Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann