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Workshop
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Understanding Optimization Challenges when Encoding to Geometric Structures
Babak Esmaeili · Robin Walters · Heiko Zimmermann · Jan-Willem van de Meent
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Workshop
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Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks
Yuxuan Li · James McClelland
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Poster
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Thu 9:00
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Amortized Inference for Causal Structure Learning
Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf
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Workshop
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Representation Learning on Biomolecular Structures using Equivariant Graph Attention
Tuan Le · Frank Noe · Djork-Arné Clevert
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Poster
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Tue 14:00
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Verification and search algorithms for causal DAGs
Davin Choo · Kirankumar Shiragur · Arnab Bhattacharyya
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Poster
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Wed 14:00
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Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
Chunyu Wei · Jian Liang · Di Liu · Fei Wang
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Workshop
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A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs
Hans Hao-Hsun Hsu · Yuesong Shen · Daniel Cremers
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Affinity Workshop
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CLOOME: Contrastive Learning for Molecule Representation with Microscopy Images and Chemical Structures
Ana Sánchez Fernández · Elisabeth Rumetshofer · Sepp Hochreiter · Günter Klambauer
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Workshop
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Phase transitions and structure formation in learning local rules
Bojan Žunkovič · Enej Ilievski
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Poster
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Tue 9:00
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Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
Alireza Nasiri · Tristan Bepler
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Workshop
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Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting
Tian Guo
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Workshop
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Matrix Estimation for Offline Evaluation in Reinforcement Learning with Low-Rank Structure
Xumei Xi · Christina Yu · Yudong Chen
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