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Poster
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Wed 14:00
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Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors
Wenhao Zhang · Ying Nian Wu · Si Wu
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Poster
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Wed 14:00
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Learning Partial Equivariances From Data
David W. Romero · Suhas Lohit
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Workshop
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Predicting electrolyte solution properties by combining neural network accelerated molecular dynamics and continuum solvent theory.
Timothy T Duignan · Junji Zhang · Joshua Pagotto
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Workshop
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Geometric Considerations for Normalization Layers in Equivariant Neural Networks
Max Aalto · Ekdeep S Lubana · Hidenori Tanaka
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Workshop
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Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions
Masanobu Horie · NAOTO MITSUME
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Poster
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Tue 14:00
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Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions
Masanobu Horie · NAOTO MITSUME
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Poster
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Tue 9:00
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Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups
Sho Sonoda · Isao Ishikawa · Masahiro Ikeda
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Poster
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Tue 9:00
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Equivariant Networks for Crystal Structures
Oumar Kaba · Siamak Ravanbakhsh
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Poster
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Thu 14:00
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Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
Fabrizio Frasca · Beatrice Bevilacqua · Michael Bronstein · Haggai Maron
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Workshop
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Conformer Search Using SE3-Transformers and Imitation Learning
Luca Thiede · Santiago Miret · Krzysztof Sadowski · Haoping Xu · Mariano Phielipp · Alan Aspuru-Guzik
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Poster
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Tue 9:00
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In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
Henry Kvinge · Tegan Emerson · Grayson Jorgenson · Scott Vasquez · Tim Doster · Jesse Lew
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Poster
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Wed 9:00
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Spherical Channels for Modeling Atomic Interactions
Larry Zitnick · Abhishek Das · Adeesh Kolluru · Janice Lan · Muhammed Shuaibi · Anuroop Sriram · Zachary Ulissi · Brandon Wood
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