Kumar, Vipin
- Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
2020/03/10 by Jared Willard, Willard, Jared, Xiaowei Jia +7 · 25 citations
Computer Science · Decision Sciences · #Computational Physics and Python Applications #Machine Learning and Data Classification #Scientific Computing and Data Management
- Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling
2017/10/31 by Daw, Arka, Karpatne, Anuj, Watkins, William +2 · 15 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics and Probability (physics.data-an)
- Machine Learning for the Geosciences: Challenges and Opportunities
2017/11/13 by Karpatne, Anuj, Ebert-Uphoff, Imme, Ravela, Sai +2 · 9 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Machine Learning (cs.LG)
- Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles
2020/01/28 by Xiaowei Jia, Jared Willard, Jia, Xiaowei +11 · 6 citations
Earth and Planetary Sciences · Environmental Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Electrical engineering #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks #Signal Processing (eess.SP) #electronic engineering #information engineering
- Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles
2018/10/31 by Jia, Xiaowei, Willard, Jared, Karpatne, Anuj +4 · 2 citations
#Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences
- The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
2023/07/09 by Héctor Zenil, Jesper Tegnér, Zenil, Hector +37 · 4 citations
Computer Science · Decision Sciences · Materials Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Scientific Computing and Data Management
- Inverse Problems, Deep Learning, and Symmetry Breaking
2020/03/20 by Kshitij Tayal, Chieh-Hsin Lai, Tayal, Kshitij +5 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Electron Microscopy Techniques and Applications #Advanced X-ray Imaging Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Optical measurement and interference techniques #Optimization and Control (math.OC) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Spatio-Temporal Data Mining: A Survey of Problems and Methods
2017/11/13 by Gowtham Atluri, Atluri, Gowtham, Anuj Karpatne +3 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Data Management and Algorithms #Data Mining Algorithms and Applications #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
- Characterizing Discriminative Patterns
2011/02/20 by Gang Fang, Wen Wang, Fang, Gang +9 · 1 citation
Computer Science · #Data Mining Algorithms and Applications #Databases (cs.DB) #FOS: Biological sciences #FOS: Computer and information sciences #Face and Expression Recognition #Genomics (q-bio.GN) #Information Theory (cs.IT)
- Bayesian Federated Learning: A Survey
2023/04/26 by Longbing Cao, Hui Chen, Cao, Longbing +9 · 2 citations
Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Data Quality and Management #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
- Research and Education in Computational Science and Engineering
2016/10/09 by Rüde, Ulrich, Willcox, Karen, McInnes, Lois Curfman +30 · 1 citation
#00A72 #62-07 #68U20 #68W01 #68W10 #97A99 #97M10 #97N80 #97R20 #97R30 #Computational Engineering #FOS: Computer and information sciences #FOS: Mathematics #Finance #G.0 #G.4 #History and Overview (math.HO) #I.6 #J.0 #J.2 #J.3 #J.4 #J.6 #J.7 #K.3.2 #Other Statistics (stat.OT) #and Science (cs.CE)
- Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes
2018/10/05 by Xiaowei Jia, Jia, Xiaowei, Anuj Karpatne +13 · 1 citation
Environmental Science · Computer Science · #Hydrological Forecasting Using AI #Time Series Analysis and Forecasting #Hydrology and Watershed Management Studies
- Knowledge-guided Machine Learning: Current Trends and Future Prospects
2024/03/24 by Anuj Karpatne, Xiaowei Jia, Karpatne, Anuj +3 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Neural Networks and Applications #and Science (cs.CE)
- Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology
2021/09/14 by Rahul Ghosh, Arvind Renganathan, Ghosh, Rahul +15 · 1 citation
Environmental Science · #FOS: Computer and information sciences #Flood Risk Assessment and Management #Hydrological Forecasting Using AI #Hydrology and Watershed Management Studies #Machine Learning (cs.LG)
- Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach
2024/01/29 by Praveen Ravirathinam, Rahul Ghosh, Ravirathinam, Praveen +9 · 2 citations
Earth and Planetary Sciences · Environmental Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Remote Sensing and Land Use #Remote Sensing in Agriculture
- A Causally Informed Pretraining Approach for Multimodal Foundation Models: Applications in Remote Sensing
2024/07/29 by Ravirathinam, Praveen, Khandelwal, Ankush, Ghosh, Rahul +1 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture
2023/07/20 by Reyhaneh Rahimi, Rahimi, Reyhaneh, Ardeshir Ebtehaj +7 · 1 citation
Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis #Climate variability and models
- Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications
2022/10/15 by Shaoming Xu, Ankush Khandelwal, Xu, Shaoming +21 · 1 citation
Computer Science · Environmental Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Neural Networks and Applications
- Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling
2023/09/19 by Kshitij Tayal, Tayal, Kshitij, Arvind Renganathan +7 · 1 citation
Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Energy Load and Power Forecasting #FOS: Computer and information sciences #FOS: Electrical engineering #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Signal Processing (eess.SP) #electronic engineering #information engineering
- Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management
2023/10/02 by Somya Sharma Chatterjee, Chatterjee, Somya Sharma, Lindsay Kelly +15 · 1 citation
Environmental Science · Engineering · #Fire effects on ecosystems #Landslides and related hazards #Fire Detection and Safety Systems
- Physics Guided Machine Learning Methods for Hydrology
2020/12/02 by Ankush Khandelwal, Shaoming Xu, Khandelwal, Ankush +12 · 1 citation
Environmental Science · #Hydrology and Watershed Management Studies #Hydrological Forecasting Using AI #Flood Risk Assessment and Management