Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
- Vijay E
- Arindam Jati
- et al.
- 2024
- NeurIPS 2024
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82 results for Jayant Kalagnanam
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
- Haoran Zhu
- Pavankumar Murali
- et al.
- 2020
- NeurIPS 2020
Interpretable Clustering via Multi-Polytope Machines
- Connor Lawless
- Jayant Kalagnanam
- et al.
- 2022
- AAAI 2022
Delay-adaptive distributed stochastic optimization
- Zhaolin Ren
- Zhengyuan Zhou
- et al.
- 2020
- AAAI 2020
Providing cooperative data analytics for real applications using machine learning
- Arun Iyengar
- Jayant R. Kalagnanam
- et al.
- 2019
- ICDCS 2019
AI Model Factory : Scaling AI for Industry 4.0 Applications
- Dhaval Patel
- Shuxin Lin
- et al.
- 2023
- AAAI 2023
AnomalyKiTS: Anomaly Detection Toolkit for Time Series
- Dhaval Patel
- Giridhar Ganapavarapu
- et al.
- 2022
- AAAI 2022
Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management
- Pavithra Harsha
- Ashish Jagmohan
- et al.
- 2021
- NeurIPS 2021
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
- Vijay Ekambaram
- Arindam Jati
- et al.
- 2023
- KDD 2023
Regression Optimization for System-level Production Control
- Dzung T. Phan
- Lam Nguyen
- et al.
- 2021
- ACC 2021