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Workshop
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Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
Yam Eitan · Yoav Gelberg · Guy Bar-Shalom · Fabrizio Frasca · Michael Bronstein · Haggai Maron
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Workshop
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Higher-Order Message Passing for Glycan Representation Learning
Roman Joeres · Daniel Bojar
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Poster
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Wed 16:30
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Higher-Order Causal Message Passing for Experimentation with Complex Interference
Mohsen Bayati · Yuwei Luo · William Overman · Mohamad Sadegh Shirani Faradonbeh · Ruoxuan Xiong
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Poster
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Thu 11:00
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Graph Coarsening with Message-Passing Guarantees
Antonin Joly · Nicolas Keriven
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Workshop
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Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers
Yingyu Liang · Zhenmei Shi · Zhao Song · Yufa Zhou
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Workshop
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Higher-order cumulants in diffusion models
Gert Aarts · Ntiaa Entin Habibi · Lingxiao Wang · Kai Zhou
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Workshop
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MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs
Saeid Asgari · Aliasghar Khani · Amir Khasahmadi
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Poster
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Fri 11:00
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Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
Eszter Szekely · Lorenzo Bardone · Federica Gerace · Sebastian Goldt
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Poster
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Fri 11:00
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Parametric model reduction of mean-field and stochastic systems via higher-order action matching
Jules Berman · Tobias Blickhan · Benjamin Peherstorfer
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Workshop
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MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs
Saeid Asgari · Aliasghar Khani · Amir Khasahmadi
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Poster
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Thu 11:00
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This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization
Anthony Bardou · Patrick Thiran · Giovanni Ranieri
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Workshop
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Rethinking Message Passing for Algorithmic Alignment
Joël Mathys · Florian Grötschla · Kalyan Nadimpalli · Roger Wattenhofer
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