Workshop
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GraphRNN Revisited: An Ablation Study and Extensions for Directed Acyclic Graphs
Maya Ravichandran · Mark Koch · Taniya Das · Nikhil Khatri
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Workshop
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Sat 9:25
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Expanding Spiking Neural Networks With Dendrites for Deep Learning
Mark Plagge · Suma Cardwell · Frances Chance
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Workshop
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Invertible normalizing flow neural networks by JKO scheme
Chen Xu · Xiuyuan Cheng · Yao Xie
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Workshop
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Meta- (out-of-context) learning in neural networks
Dmitrii Krasheninnikov · Egor Krasheninnikov · Bruno Mlodozeniec · David Krueger
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Workshop
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Predicting Adsorption Energies for Catalyst Screening with Transfer Learning Using Crystal Hamiltonian Graph Neural Network
Angelina Chen · Hui Zheng · Paula Harder
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Workshop
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Joint Group Invariant Functions on Data-Parameter Domain Induce Universal Neural Networks
Sho Sonoda · Hideyuki Ishi · Isao Ishikawa · Masahiro Ikeda
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Workshop
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Conformational sampling and interpolation using language-based protein folding neural networks
Diego del Alamo · Jeliazko Jeliazkov · Daphne Truan · Joel Karpiak
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Workshop
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Symmetry Breaking and Equivariant Neural Networks
Oumar Kaba · Siamak Ravanbakhsh
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Workshop
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Meta- (out-of-context) learning in neural networks
Dmitrii Krasheninnikov · Egor Krasheninnikov · Bruno Mlodozeniec · David Krueger
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Workshop
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Zero-Shot Image Registration through Feature Extraction (ZSIR - FE): Medical Image Registration using Pre-Trained Neural Networks
Abjasree S · Avinash Kori · ganapathy krishnamurthi
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Workshop
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A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
Behrad Moniri · Donghwan Lee · Hamed Hassani · Edgar Dobriban
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Workshop
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Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study
Bach Nguyen · Truong Son Hy · Long Tran-Thanh · Nhung Nghiem
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