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Workshop
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The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features
Shi Bin Hoo · Samuel Müller · David Salinas · Frank Hutter
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Poster
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Fri 16:30
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ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
Junjie Ni · Guofeng Zhang · Guanglin Li · Yijin Li · Xinyang Liu · Zhaoyang Huang · Hujun Bao
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Workshop
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The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features
Shi Bin Hoo · Samuel Müller · David Salinas · Frank Hutter
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Poster
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Thu 11:00
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IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model
Xiaoxuan Gong · Jie Ma
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Workshop
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Sat 16:15
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Diffusion-based Speech Enhancement: Demonstration of Performance and Generalization
Julius Richter · Timo Gerkmann
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Poster
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Fri 16:30
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Persistent Homology for High-dimensional Data Based on Spectral Methods
Sebastian Damrich · Philipp Berens · Dmitry Kobak
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Oral
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Wed 15:30
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Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs
Matthew Zurek · Yudong Chen
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Poster
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Wed 16:30
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Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs
Matthew Zurek · Yudong Chen
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Workshop
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Auxiliary objectives improve generalization performance but reduce model specification for low-data neuroimaging-based brain age prediction
Donghyun Kim · Eloy Geenjaar · Vince Calhoun
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Poster
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Fri 16:30
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Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
Yu Zhang · Ruoyu Li · Nengwu Wu · Qing Li · Xinhan Lin · Yang Hu · Tao Li · Yong Jiang
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Workshop
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Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
Siyu Chen · Beining Wu · Miao Lu · Zhuoran Yang · Tianhao Wang
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Workshop
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Sat 11:00
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Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
Siyu Chen · Beining Wu · Miao Lu · Zhuoran Yang · Tianhao Wang
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