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Poster
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Tue 4:30
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Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective
Shokichi Takakura · Taiji Suzuki
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Poster
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Thu 2:30
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Generalization Error of Graph Neural Networks in the Mean-field Regime
Gholamali Aminian · Yixuan He · Gesine Reinert · Lukasz Szpruch · Samuel Cohen
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Workshop
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Geometry-informed Neural Networks
Arturs Berzins · Andreas Radler · Sebastian Sanokowski · Sepp Hochreiter · Johannes Brandstetter
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Poster
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Thu 2:30
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Receptive Fields As Experts in Convolutional Neural Architectures
Dongze Lian · Weihao Yu · Xinchao Wang
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Workshop
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SINR: Equivariant Neural Vector Fields
David Ruhe · Patrick Forré
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Poster
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Thu 4:30
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Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations
Jan Hagnberger · Marimuthu Kalimuthu · Daniel Musekamp · Mathias Niepert
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Workshop
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3D Reconstruction of Dark Matter Fields with Diffusion Models: Towards Application to Galaxy Surveys
Core Francisco Park · Nayantara Mudur · Carolina Cuesta · Yueying Ni · Victoria Ono · Douglas Finkbeiner
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Poster
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Tue 4:30
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Autoencoding Conditional Neural Processes for Representation Learning
Victor Prokhorov · Ivan Titov · Siddharth N
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Workshop
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Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics
Alireza Mousavi-Hosseini · Denny Wu · Murat Erdogdu
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Workshop
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AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion
Adeesh Kolluru · John Kitchin
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Poster
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Wed 4:30
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Learning Divergence Fields for Shift-Robust Graph Representations
Qitian Wu · Fan Nie · Chenxiao Yang · Junchi Yan
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Workshop
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SE(3)-Equivariant Diffusion Graph Nets: Synthesizing Flow Fields by Denoising Invariant Latents on Graphs
Mario Lino · Nils Thuerey · Tobias Pfaff
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