Anubhab Ghosh

Employment

• KTH Royal Institute of Technology

Education

• Kungliga Tekniska Högskolan Ph.D. in Electrical Engineering
  2021 - Present
• Kungliga Tekniska Högskolan M.Sc. in Information and Network Engineering (specialization - Multimedia Processing and Analysis)
  2018 - 2020

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• Semi-Supervised Model-Free Bayesian State Estimation from Compressed Measurements
  IEEE Transactions on Signal Processing 2026 DOI: 10.1109/TSP.2026.3691273
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• Artificial Intelligence-Aided Kalman Filters: AI-Augmented Designs for Kalman-Type Algorithms
  IEEE Signal Processing Magazine 2025 DOI: 10.1109/MSP.2025.3569395
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• DeepBayes—An estimator for parameter estimation in stochastic nonlinear dynamical models
  Automatica 2024 DOI: 10.1016/j.automatica.2023.111327
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• DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Learning Setup
  IEEE Transactions on Signal Processing 2024 DOI: 10.1109/TSP.2024.3383277
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• Compressed Sensing of Generative Sparse-Latent (GSL) Signals
  2023 31st European Signal Processing Conference (EUSIPCO) 2023 DOI: 10.23919/eusipco58844.2023.10289923
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• DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Bayesian Setup
  2023 31st European Signal Processing Conference (EUSIPCO) 2023 DOI: 10.23919/eusipco58844.2023.10289946
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• Forecasting Solar Cycle 25 with Physical Model-Validated Recurrent Neural Networks
  Solar Physics 2023 DOI: 10.1007/s11207-022-02104-3
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• Time-varying Normalizing Flow for Generative Modeling of Dynamical Signals
  2022 30th European Signal Processing Conference (EUSIPCO) 2022 DOI: 10.23919/eusipco55093.2022.9909640
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• Robust Classification Using Hidden Markov Models and Mixtures of Normalizing Flows
  2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP) 2020 DOI: 10.1109/mlsp49062.2020.9231775
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