Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network
- Kyongmin Yeo
- DYLAN E.C. GRULLON
- et al.
- 2021
- SIAM Journal on Scientific Computing
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81 results for Jayant Kalagnanam
Optimal decision trees for categorical data via integer programming
- Oktay Günlük
- Jayant R. Kalagnanam
- et al.
- 2021
- Journal of Global Optimization
FLOps: On Learning Important Time Series Features for Real-Valued Prediction
- Dhaval Patel
- Syed Yousaf Shah
- et al.
- 2020
- Big Data 2020
Doctor for Machines: A Failure Pattern Analysis Solution for Industry 4.0
- Dhaval Patel
- Nianjun Zhou
- et al.
- 2020
- Big Data 2020
Smart-ML: A System for Machine Learning Model Exploration using Pipeline Graph
- Dhaval Patel
- Shrey Shrivastava
- et al.
- 2020
- Big Data 2020
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
- Haoran Zhu
- Pavankumar Murali
- et al.
- 2020
- NeurIPS 2020
Pruning Deep Neural Networks with ell_{0}-constrained Optimization
- Dzung T. Phan
- Lam Nguyen
- et al.
- 2020
- ICDM 2020
Delay-adaptive distributed stochastic optimization
- Zhaolin Ren
- Zhengyuan Zhou
- et al.
- 2020
- AAAI 2020
DQA: Scalable, Automated and Interactive Data Quality Advisor
- Shrey Shrivastava
- Dhaval Patel
- et al.
- 2019
- Big Data 2019
Advanced production plant optimization with AI
- Jayant R. Kalagnanam
- Dariusz Piotrowski
- et al.
- 2019
- ADIP 2019