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In-Person Oral presentation / top 25% paper
Mon May 01 01:00 AM -- 01:10 AM (PDT) @ AD4 None
Phase2vec: dynamical systems embedding with a physics-informed convolutional network
In Oral 1 Track 2: Machine Learning for Sciences
Matt Ricci · Noa Moriel · Zoe Piran · Mor Nitzan
In-Person Oral presentation / top 25% paper
Mon May 01 01:10 AM -- 01:20 AM (PDT) @ AD4 None
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
In Oral 1 Track 2: Machine Learning for Sciences
Zhong Yi Wan · Leonardo Zepeda-Nunez · Anudhyan Boral · Fei Sha
In-Person Oral presentation / top 5% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ AD4 None
Compressing multidimensional weather and climate data into neural networks
In Oral 1 Track 2: Machine Learning for Sciences
Langwen Huang · Torsten Hoefler
In-Person Oral presentation / top 25% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ AD4 None
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
In Oral 1 Track 2: Machine Learning for Sciences
Tianbo Li · Min Lin · Zheyuan Hu · Kunhao Zheng · Giovanni Vignale · Kenji Kawaguchi · A. Castro Neto · Kostya Novoselov · shuicheng YAN
In-Person Oral presentation / top 5% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ AD4 None
Conditional Antibody Design as 3D Equivariant Graph Translation
In Oral 1 Track 2: Machine Learning for Sciences
Xiangzhe Kong · Wenbing Huang · Yang Liu
In-Person Oral presentation / top 25% paper
Mon May 01 01:50 AM -- 02:00 AM (PDT) @ AD4 None
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
In Oral 1 Track 2: Machine Learning for Sciences
Yi-Lun Liao · Tess Smidt
In-Person Oral presentation / top 25% paper
Mon May 01 02:00 AM -- 02:10 AM (PDT) @ AD4 None
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
In Oral 1 Track 2: Machine Learning for Sciences
Peter Yichen Chen · Jinxu Xiang · Dong Heon Cho · Yue Chang · G Pershing · Henrique Maia · Maurizio Chiaramonte · Kevin Carlberg · Eitan Grinspun