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19 Results
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Workshop
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A deep learning approach to recover conditional independence graphs Harsh Shrivastava · Urszula Chajewska · Robin Abraham · Xinshi Chen |
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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 |
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions Masanobu Horie · NAOTO MITSUME |
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Workshop
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Fri 13:40 |
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang |
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Poster
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Thu 9:00 |
Learning Interface Conditions in Domain Decomposition Solvers Ali Taghibakhshi · Nicolas Nytko · Tareq Uz Zaman · Scott MacLachlan · Luke Olson · Matthew West |
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Workshop
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Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang |
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Workshop
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Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang |
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Workshop
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Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang |
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Workshop
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Conditional Invariances for Conformer Invariant Protein Representations Balasubramaniam Srinivasan · Vassilis Ioannidis · Soji Adeshina · Mayank Kakodkar · George Karypis · Bruno Ribeiro |
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Workshop
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Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation Han Huang · Leilei Sun · Bowen Du · Weifeng Lv |
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Workshop
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Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests Erica Cai · Andrew McGregor · David Jensen |
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Workshop
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Time-Evolving Conditional Character-centric Graphs for Movie Understanding Long Dang · Thao Le · Vuong Le · Tu Minh Phuong · Truyen Tran |