Poster "geometric deep learning" Papers
15 papers found
Conference
Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
Peter Lippmann, Gerrit Gerhartz, Roman Remme et al.
ICLR 2025arXiv:2405.15389
14
citations
Continuous Simplicial Neural Networks
Aref Einizade, Dorina Thanou, Fragkiskos Malliaros et al.
NEURIPS 2025arXiv:2503.12919
2
citations
CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning
Teresa Huang, Richard Stiskalek, Jun-Young Lee et al.
NEURIPS 2025arXiv:2507.03707
2
citations
Curvature-aware Graph Attention for PDEs on Manifolds
Yunfeng Liao, Jiawen Guan, Xiucheng Li
ICML 2025
Discovering Group Structures via Unitary Representation Learning
Dongsung Huh
ICLR 2025
2
citations
On the Expressive Power of Sparse Geometric MPNNs
Yonatan Sverdlov, Nadav Dym
ICLR 2025arXiv:2407.02025
6
citations
An Intrinsic Vector Heat Network
Alexander Gao, Maurice Chu, Mubbasir Kapadia et al.
ICML 2024arXiv:2406.09648
1
citations
CliffPhys: Camera-based Respiratory Measurement using Clifford Neural Networks
Omar Ghezzi, Giuseppe Boccignone, Giuliano Grossi et al.
ECCV 2024
3
citations
Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold
Tingting Dan, Ziquan Wei, Won Hwa Kim et al.
ICML 2024arXiv:2405.16357
6
citations
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
Jaehyeong Jo, Sung Ju Hwang
ICML 2024arXiv:2310.07216
16
citations
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
Tianlang Chen, Shengjie Luo, Di He et al.
ICML 2024arXiv:2406.16853
9
citations
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
Siqi Miao, Zhiyuan Lu, Mia Liu et al.
ICML 2024arXiv:2402.12535
13
citations
O$n$ Learning Deep O($n$)-Equivariant Hyperspheres
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck et al.
ICML 2024arXiv:2305.15613
2
citations
Position: Categorical Deep Learning is an Algebraic Theory of All Architectures
Bruno Gavranović, Paul Lessard, Andrew Dudzik et al.
ICML 2024arXiv:2402.15332
18
citations
Position: Topological Deep Learning is the New Frontier for Relational Learning
Theodore Papamarkou, Tolga Birdal, Michael Bronstein et al.
ICML 2024arXiv:2402.08871
63
citations