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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81 results for Jayant Kalagnanam
Identifying Homogeneous and Interpretable Groups for Conformal Prediction
- Natalia Martinez Gil
- Dhaval Patel
- et al.
- 2024
- UAI 2024
Multi-polytope Machine for Classification
- Dzung Phan
- Lam Nguyen
- et al.
- 2024
- SDM 2024
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data
- Santosh Palaskar
- Vijay Ekambaram
- et al.
- 2024
- IAAI 2024
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
- Vijay Ekambaram
- Arindam Jati
- et al.
- 2023
- KDD 2023
Optimal Control via Linearizable Deep Learning
- Vinicius Lima
- Dzung T. Phan
- et al.
- 2023
- ACC 2023
AI Model Factory : Scaling AI for Industry 4.0 Applications
- Dhaval Patel
- Shuxin Lin
- et al.
- 2023
- AAAI 2023
DSServe - Data Science using Serverless
- Dhaval Patel
- Shuxin Lin
- et al.
- 2022
- Big Data 2022
Deep Policy Iteration with Integer Programming for Inventory Management
- Brian Quanz
- Pavithra Harsha
- et al.
- 2022
- INFORMS 2022
AI-Based Real-Time Site-Wide Optimization for Process Manufacturing
- Jayant Kalagnanam
- Dzung T. Phan
- et al.
- 2022
- INFORMS Journal on Applied Analytics