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Sahil Garg

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Empowering Time Series Analysis with Large Language Models: A Survey

Feb 05, 2024
Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song

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Lag-Llama: Towards Foundation Models for Time Series Forecasting

Oct 12, 2023
Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Arian Khorasani, George Adamopoulos, Rishika Bhagwatkar, Marin Biloš, Hena Ghonia, Nadhir Vincent Hassen, Anderson Schneider, Sahil Garg, Alexandre Drouin, Nicolas Chapados, Yuriy Nevmyvaka, Irina Rish

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Structural block driven - enhanced convolutional neural representation for relation extraction

Mar 21, 2021
Dongsheng Wang, Prayag Tiwari, Sahil Garg, Hongyin Zhu, Peter Bruza

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Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach

Jul 19, 2020
Yi Liu, Sahil Garg, Jiangtian Nie, Yang Zhang, Zehui Xiong, Jiawen Kang, M. Shamim Hossain

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An RNN-Survival Model to Decide Email Send Times

Apr 21, 2020
Harvineet Singh, Moumita Sinha, Atanu R. Sinha, Sahil Garg, Neha Banerjee

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Nearly-Unsupervised Hashcode Representations for Relation Extraction

Sep 09, 2019
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo Cecchi

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Securing Fog-to-Things Environment Using Intrusion Detection System Based On Ensemble Learning

Jan 30, 2019
Poulmanogo Illy, Georges Kaddoum, Christian Miranda Moreira, Kuljeet Kaur, Sahil Garg

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Building Models for Biopathway Dynamics Using Intrinsic Dimensionality Analysis

Nov 03, 2018
Emilia M. Wysocka, Valery Dzutsati, Tirthankar Bandyopadhyay, Laura Condon, Sahil Garg

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Efficiently Learning Nonstationary Gaussian Processes for Real World Impact

Nov 02, 2018
Sahil Garg

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Kernelized Hashcode Representations for Biomedical Relation Extraction

Oct 31, 2018
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo Cecchi, Shuyang Gao

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