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Yuantao Gu

See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers

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Nov 04, 2024
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Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems

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Jun 11, 2024
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EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector

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Jan 03, 2024
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Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection

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Sep 30, 2023
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Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data

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Sep 10, 2023
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Bridge the Performance Gap in Peak-hour Series Forecasting: The Seq2Peak Framework

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Jul 04, 2023
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SageFormer: Series-Aware Graph-Enhanced Transformers for Multivariate Time Series Forecasting

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Jul 04, 2023
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Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning

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Oct 09, 2021
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The Rate of Convergence of Variation-Constrained Deep Neural Networks

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Jun 22, 2021
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Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting

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May 17, 2021
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