Tapas Tripura

1. Wavelet neural operator: a neural operator for parametric partial differential equations
   2022/05/04 by Tapas Tripura, Souvik Chakraborty, Tripura, Tapas +1 · 18 citations
   Earth and Planetary Sciences · Environmental Science · Engineering · #Meteorological Phenomena and Simulations #Hydrological Forecasting Using AI #Fluid Dynamics and Turbulent Flows
2. Deep neural operators can predict the real-time response of floating offshore structures under irregular waves
   2023/11/16 by Qianying Cao, Somdatta Goswami, Tapas Tripura +2 · 5 citations
   Engineering · Earth and Planetary Sciences · #Fluid Dynamics and Vibration Analysis #Seismic Waves and Analysis #Structural Health Monitoring Techniques
3. Multi-fidelity wavelet neural operator with application to uncertainty quantification
   2022/08/11 by Akshay Thakur, Thakur, Akshay, Tapas Tripura +3 · 3 citations
   Engineering · #Image Processing Techniques and Applications
4. A foundational neural operator that continuously learns without forgetting
   2023/10/29 by Tapas Tripura, Tripura, Tapas, Souvik Chakraborty +1 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
5. Discovering interpretable Lagrangian of dynamical systems from data
   2023/02/09 by Tapas Tripura, Souvik Chakraborty, Tripura, Tapas +1 · 1 citation
   Computer Science · Engineering · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods #Time Series Analysis and Forecasting
6. Discovering stochastic partial differential equations from limited data using variational Bayes inference
   2023/06/28 by Yogesh Chandrakant Mathpati, Mathpati, Yogesh Chandrakant, Tapas Tripura +5 · 1 citation
   Computer Science · Engineering · Environmental Science · #Energy Load and Power Forecasting #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Data-driven discovery of interpretable Lagrangian of stochastically excited dynamical systems
   2024/02/27 by Tapas Tripura, Tripura, Tapas, Satyam Panda +5 · 1 citation
   Engineering · Physics and Astronomy · #Dynamical Systems (math.DS) #FOS: Mathematics #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods
8. Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data
   2024/01/08 by Jyoti Rani, Rani, Jyoti, Tapas Tripura +5 · 1 citation
   Chemistry · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Machine Learning (cs.LG) #Mineral Processing and Grinding #Signal Processing (eess.SP) #Spectroscopy and Chemometric Analyses #electronic engineering #information engineering