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Sercan O. Arik

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PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series

Aug 25, 2023
Nicasia Beebe-Wang, Sayna Ebrahimi, Jinsung Yoon, Sercan O. Arik, Tomas Pfister

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Business Metric-Aware Forecasting for Inventory Management

Aug 24, 2023
Helen Zhou, Sercan O. Arik, Jingtao Wang

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SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL

Jun 07, 2023
Ruoxi Sun, Sercan O. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, Tomas Pfister

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LANISTR: Multimodal Learning from Structured and Unstructured Data

May 26, 2023
Sayna Ebrahimi, Sercan O. Arik, Yihe Dong, Tomas Pfister

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Universal Self-adaptive Prompting

May 24, 2023
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Martin Eisenschlos, Sercan O. Arik, Tomas Pfister

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Better Zero-Shot Reasoning with Self-Adaptive Prompting

May 23, 2023
Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan O. Arik, Tomas Pfister

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SLM: End-to-end Feature Selection via Sparse Learnable Masks

Apr 06, 2023
Yihe Dong, Sercan O. Arik

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TSMixer: An all-MLP Architecture for Time Series Forecasting

Mar 10, 2023
Si-An Chen, Chun-Liang Li, Nate Yoder, Sercan O. Arik, Tomas Pfister

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Neural Spline Search for Quantile Probabilistic Modeling

Jan 12, 2023
Ruoxi Sun, Chun-Liang Li, Sercan O. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister

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SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch

Nov 30, 2022
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O. Arik, Tomas Pfister

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