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07/13/2023
In-context Autoencoder for Context Compression in a Large Language Model
We propose the In-context Autoencoder (ICAE) for context compression in ...
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02/25/2023
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design
Thermal issue is a major concern in 3D integrated circuit (IC) design. T...
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12/01/2022
Extensible Prompts for Language Models
We propose eXtensible Prompt (X-Prompt) for prompting a large language m...
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07/10/2022
TCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response
Predicting clinical outcomes to anti-cancer drugs on a personalized basi...
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05/27/2022
Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering
We propose a novel approach to the problem of clustering hierarchically ...
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12/22/2021
MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series
We introduce a mixture of heterogeneous experts framework called , which...
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04/24/2009