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Workshop
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Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer
Mario Morvan · Nikolaos Nikolaou · Kai Yip · Ingo Waldmann
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Spotlight
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Thu 11:40
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Transformer Quality in Linear Time
Weizhe Hua · Zihang Dai · Hanxiao Liu · Quoc Le
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Poster
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Thu 15:00
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Nonlinear Feature Diffusion on Hypergraphs
Konstantin Prokopchik · Austin Benson · Francesco Tudisco
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Spotlight
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Tue 7:40
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Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
Tung Nguyen · Aditya Grover
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Spotlight
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Thu 7:40
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Neural Inverse Transform Sampler
Henry Li · Yuval Kluger
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Poster
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Wed 15:30
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Learning Symmetric Embeddings for Equivariant World Models
Jung Yeon Park · Ondrej Biza · Linfeng Zhao · Jan-Willem van de Meent · Robin Walters
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Poster
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Wed 15:30
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Scalable Deep Gaussian Markov Random Fields for General Graphs
Joel Oskarsson · Per Sidén · Fredrik Lindsten
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Poster
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Wed 15:30
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Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation
Justin Jude · Matthew G. Perich · Lee Miller · Matthias Hennig
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Poster
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Wed 15:30
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Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees
Verónica Álvarez · Santiago Mazuelas · Jose A Lozano
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Workshop
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Identification of Hidden Clusters of Time Series with Hybrid Neural Networks Integrating Expert Models
András Formanek · Edward De Brouwer · Péter Antal · Yves Moreau · Adam Arany
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Poster
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Tue 15:30
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Causal Transformer for Estimating Counterfactual Outcomes
Valentyn Melnychuk · Dennis Frauen · Stefan Feuerriegel
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Poster
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Tue 15:30
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IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data
Tian Gao · DEBARUN BHATTACHARJYA · Elliot Nelson · Miao Liu · Yue Yu
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