Vipin Kumar

1. A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
   1998/01/01 by George Karypis, Vipin Kumar · 54 citations
   Computer Science · Engineering · #Advanced Graph Theory Research #Interconnection Networks and Systems #VLSI and FPGA Design Techniques
2. Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
   2020/03/10 by Jared Willard, Xiaowei Jia, Willard, Jared +7 · 16 citations
   Computer Science · Decision Sciences · #Computational Physics and Python Applications #Machine Learning and Data Classification #Scientific Computing and Data Management
3. Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
   2017/10/01 by Anuj Karpatne, Gowtham Atluri, James H. Faghmous +6 · 11 citations
4. Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
   2022/03/25 by Jared Willard, Xiaowei Jia, Shaoming Xu +2 · 16 citations
   Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Computational Physics and Python Applications #Gaussian Processes and Bayesian Inference
5. Spatio-Temporal Data Mining
   2018/08/22 by Gowtham Atluri, Anuj Karpatne, Vipin Kumar · 5 citations
   Computer Science · #Time Series Analysis and Forecasting #Data Management and Algorithms #Data Mining Algorithms and Applications
6. JASPAR 2026: expansion of transcription factor binding profiles and integration of deep learning models
   2025/12/02 by Damla Ovek, Ieva Rauluševičiūtė, Dina Ruud Aronsen +31 · 2 voices · 4 citations
   Biochemistry, Genetics and Molecular Biology · #Developmental Biology and Gene Regulation #Genomics and Chromatin Dynamics #Machine Learning in Bioinformatics
7. 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
8. Inverse Problems, Deep Learning, and Symmetry Breaking
   2020/03/20 by Kshitij Tayal, Chieh-Hsin Lai, Tayal, Kshitij +5 · 1 citation
   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
9. Artificial Intelligence Index Report 2026
   2026/04/14 by Sha Sajadieh, Loredana Fattorini, Raymond Perrault +20 · 2 voices
   Computer Science · #cs.AI
10. 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)
11. 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
12. Bayesian Federated Learning: A Survey
    2023/04/26 by Longbing Cao, Hui Chen, Cao, Longbing +9 · 1 citation
    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)
13. The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
    2023/07/09 by Héctor Zenil, Jesper Tegnér, Zenil, Hector +37 · 1 citation
    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
14. Knowledge-guided Machine Learning: Current Trends and Future Prospects
    2024/03/24 by Anuj Karpatne, Xiaowei Jia, Karpatne, Anuj +3 · 1 citation
    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)
15. Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources
    2025/01/01 by Jared Willard, Charuleka Varadharajan, Xiaowei Jia +1 · 1 voice · 1 citation
    Computer Science · Engineering · Environmental Science · #Energy Load and Power Forecasting #Hydrological Forecasting Using AI #Machine Learning and Data Classification