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Workshop
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Rethinking Neural Relational Inference for Granger Causal Discovery
Stefanos Bennett · Rose Yu
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Workshop
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Structural Causal Model for Molecular Dynamics Simulation
Qi Liu · Yuanqi Du · Fan Feng · Qiwei Ye · Jie Fu
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Workshop
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Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network
Seungwoong Ha · Hawoong Jeong
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Workshop
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Fri 7:25
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Relating transformers to models and neural representations of the hippocampal formation
James Whittington
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Poster
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Thu 9:00
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Interaction Modeling with Multiplex Attention
Fan-Yun Sun · Isaac Kauvar · Ruohan Zhang · Jiachen Li · Mykel J Kochenderfer · Jiajun Wu · Nick Haber
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Workshop
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Fri 9:00
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SEIFER: Scalable Edge Inference for Deep Neural Networks
Arjun Parthasarathy · Bhaskar Krishnamachari
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Poster
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Thu 14:00
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Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner · Zonghao Chen · Yee Whye Teh · Yarin Gal
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Workshop
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Neural Inference of Gaussian Processes for Time Series Data of Quasars
Egor Danilov · Aleksandra Ciprijanovic · Brian Nord
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Poster
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Thu 14:00
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Exponential Separations in Symmetric Neural Networks
Aaron Zweig · Joan Bruna
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Workshop
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PolarMOT: How far can geometric relations take us in 3D multi-object tracking?
Aleksandr Kim · Guillem Braso · Aljosa Osep · Laura Leal-Taixé
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Affinity Workshop
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Improving neural machine translation for low-resource languages using related language resources
Atnafu Lambebo Tonja · Olga Kolesnikova
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Workshop
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Urban Heat Island Detection and Causal Inference Using Convolutional Neural Networks
Zachary D Calhoun · Ziyang Jiang · Mike Bergin · David Carlson
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