Publications

Beyond Point Forecasts: A Survey on Probabilistic Forecasting for Time Series and Spatiotemporal Data

Besher, D.*, Pathak, R.*, Panja, M., Chakraborty, T.

SIGMA: Symmetry-aware, Intelligent, Geometric, Multi-faced Adaptive Traffic Control for Reliable Intelligent Transportation Systems

Payra, P., Jagadish, Sen, T., Chakraborty, T.

ANGLE: Angular Neural Generative Learning via Engression

Pathak, R.*, Roy, A., Chakraborty, T.

Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics

Pathak, R.*, Chakraborty, T. Transactions on Machine Learning Research, 2026.

Best Student Presentation Award at 46th ISF, Montreal, Canada

Bayesian Machine Learning for Estimating Optimal Dynamic Treatment Regimes with Ordinal Outcomes

Wang, X., Chakraborty, T., Chakraborty, B. Statistics in Medicine, 2026.

E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting

Panja, M., Chakraborty, T., Biswas, A.*, Deb, S. Journal of the Royal Statistical Society: Series A, 2026.

Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series

Panja, M., Younes, G., Chakraborty, T. APL Machine Learning, 2026.

Statistical patterns in the Ethereum blockchain: analysis of EOAs and smart contracts in ERC20 token network

Mukhiya, K., Luwang, SR., Nurujjaman, M., Chakraborty, T., Saha, S., Hens, C. PLOS One, 2026.

Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after admission

Wang, Z., Lee, J. W., Chakraborty, T., Ning, Y., Liu, M., Feng, X., Ong, M. E. H., Liu, N. Health Data Science, 2026.

MDAS: A Diagnostic Approach to Assess the Quality of Data Splitting in Machine Learning

Ghosh, P. Karmakar, B., Jain E., Neeraja J., Banerjee B., Chakraborty, T. IEEE Access, 2026.

Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study

Liu, X., Deliu, N., Chakraborty, T., Bell, L., Chakraborty, B. Annals of Applied Statistics, 2025.

Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak

Barman, M.*, Panja, M., Mishra, N., Chakraborty, T. Machine Learning, 2025.

Skew Probabilistic Neural Networks for Learning from Imbalanced Data

Naik, S.M.*, Chakraborty, T., Panja, M., Hadid, A., Chakraborty, B. Pattern Recognition, 2025.

Footprints of Data in a Classifier: Understanding the Privacy Risks and Solution Strategies

Sadhukhan, P., Chakraborty, T. Information Systems Frontiers, 2025.

Recent Changes in Spatiotemporal Patterns of Heat Extremes in South Asia

Banerjee, A., Gupta, S., Priyanshu, P., Kar, A., Saha, R., Chakraborty, T., Ghosh, D., Kurths, J., Hens, C. npj Climate and Atmospheric Science, 2025.

Developing cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study

Ghosh, A., Das, P., Chakraborty, T., Das, P., Ghosh, D. Journal of Theoretical Biology, 2025.

Forecasting precipitation in the Arctic using probabilistic machine learning informed by causal climate drivers

Panja, M., Das, D., Chakraborty, T., Ray, A., Radhakrishnan, A., Hens, C., Dana, S.K., Murukesh, N., Ghosh, D. Chaos, 2025.

Salt rock creep deformation forecasting using deep neural networks and analytical models for subsurface energy storage applications

Shukla, P.K., Chakraborty, T., Sari, M., Sarout, J., Mandal, P.P. Scientific Reports, 2025.

A Compounded Burr Probability Distribution for Fitting Heavy-Tailed Data with Applications to Biological Networks

Chakraborty, T., Chattopadhyay, S., Das, S., Naik, S.M., Hens, C. Chaos, 2025.

Shape Penalized Decision Forests for Imbalanced Data Classification

Goswami, R.*, Garai, A.*, Sadhukhan, P., Ghosh, P., Chakraborty, T. IEEE Access, 2025.

Pattern change of precipitation extremes in Svalbard

Das, D., Radhakrishnan, A., Chakraborty, T., Ray, A., Hens, C., Dana, S.K., Ghosh, D., Murukesh, N. Scientific Reports, 2025.

Forecasting CPI inflation under economic policy and geo-political uncertainty

Sengupta, S.*, Chakraborty, T., Singh, S.K. International Journal of Forecasting, 2024.

A Novel Hybrid Approach For Efficiently Forecasting Air Quality Data

Borah, J., Chakraborty, T., Nadzir, M., Cayetano, M., Benedetto, F., Majumdar, S. IEEE Sensor Letters, 2024.

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

Chakraborty, T., Reddy, U., Naik, S.M.*, Panja, M., Manvitha, B. Machine Learning: Science and Technology, 2024.

Most Cited Paper

Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention

Jakhmola, Y.*, Panja, M., Mishra, N.K., Ghosh, K., Kumar, U., Chakraborty, T. IEEE Access, 2024.

When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges

Hadid, A., Chakraborty, T., Busby, D. Expert Systems, 2024.

Top Cited Paper Award 2025

Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics

Panja, M., Chakraborty, T.*, Kumar, U., Liu, N. Neural Networks, 2023.

Bayesian Neural Tree Models for Nonparametric Regression

Chakraborty, T., Kamat, G.*, Chakraborty, A. K. Australian & New Zealand Journal of Statistics, 2023.

An ensemble neural network approach to forecast Dengue outbreak based on climatic condition

Panja, M., Chakraborty, T., Nadim. Sk., Ghosh, I., Kumar, U., Liu, N. Chaos, Solitons & Fractals, 2023.

Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model

Thottolil, R., Kumar, U., Chakraborty, T. Scientific Reports, 2023.

Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model

Bhattacharyya, A., Chakraborty, T., Rai, S. N. Nonlinear Dynamics, 2022.

Searching for heavy-tailed probability distributions for modeling real-world complex networks

Chakraborty, T., Chattopadhyay, S., Das, S., Kumar, U., Jayavelu, S. IEEE Access, 2022.

A New Method for Generalizing Burr and Related Distributions

Chakraborty, T., Das, S., Chattopadhyay, S. Mathematica Slovaca, 2022.

An integrated deterministic–stochastic approach for forecasting the long-term trajectories of COVID-19

Ghosh, I., and Chakraborty, T. International Journal of Modeling, Simulation, and Scientific Computing, 2021.

Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events

Ray, A., Chakraborty, T., Ghosh, D. Chaos, 2021.

Modified Lomax Model: A heavy-tailed distribution for fitting large-scale real-world complex networks

Chattopadhyay, S., Chakraborty, T., Ghosh, K., Das, A. K. Social Network Analysis and Mining, 2021.

Unemployment Rate Forecasting: A Hybrid Approach

Chakraborty, T., Chakraborty, A. K., Biswas, M., Banerjee, S., Bhattacharya, S. Computational Economics, 2021.

Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis

Chakraborty, T., Ghosh, I. Chaos, Solitons & Fractals, 2020.

Most Cited Paper between 2021-2023

Hellinger Net: A Hybrid Imbalance Learning Model to Improve Software Defect Prediction

Chakraborty, T., Chakraborty, A. K. IEEE Transactions on Reliability, 2020.

Radial basis neural tree model for improving waste recovery process in a paper industry

Chakraborty, T., & Chattopadhyay, S., Chakraborty, A. K. Applied Stochastic Models in Business and Industry, 2020.

Superensemble classifier for improving predictions in imbalanced data sets

Chakraborty, T., Chakraborty, A. K. Communications in Statistics - Case Studies and Data Analysis, 2020.

A hybrid regression model for water quality prediction

Chakraborty, T., Chakraborty, A. K., Mansoor, Z. Opsearch, 2019.

Forecasting dengue epidemics using a hybrid methodology

Chakraborty, T., Chattopadhyay, S., Ghosh, I. Physica A: Statistical Mechanics and its Applications, 2019.

A novel distribution-free hybrid regression model for manufacturing process efficiency improvement

Chakraborty, T., Chakraborty, A. K., Chattopadhyay, S. Journal of Computational and Applied Mathematics, 2019.

Best Paper Award

A nonparametric ensemble binary classifier and its statistical properties

Chakraborty, T., Chakraborty, A. K., Murthy, C. A. Statistics & Probability Letters, 2019.

A novel hybridization of classification trees and artificial neural networks for selection of students in a business school

Chakraborty, T., Chattopadhyay, S., Chakraborty, A. K. Opsearch, 2018.

Best Paper Award

Zero-shot forecasting of epidemics

Panja, M., Modak, O.*, Younes, G., Chakraborty, T. NeurIPS - BERT2S, 2025.

Do we really need Foundation Models for multi-step-ahead Epidemic Forecasting?

Dey, M.*, Chakrabartty, A., Sarkar, D., Chakraborty, T. NeurIPS - TSALM, 2024.

Knowing the class distinguishing abilities of the features, to build better decision-making models

Sadhukhan, P., Sengupta, K., Palit, S., Chakraborty, T. AMCIS, 2024.

Deploying model obfuscation: towards the privacy of decision-making models on shared platforms

Sadhukhan, P., Chakraborty, T., Sengupta, K. AMCIS, 2024.

Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting

Panja, M., Chakraborty, T., Kumar, U., Hadid, A. ICONIP, 2023.

Van der Pol-informed Neural Networks for Multi-step-ahead Forecasting of Extreme Climatic Events

Dutta, A.*, Panja, M., Kumar, U., Hens, C., Chakraborty, T. NeurIPS - AI4Science, 2023.

W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting

Sasal, L.*, Chakraborty, T., Hadid, A. ICMLA, 2022.

Knowledge-based Deep Learning for Modeling Chaotic Systems

Elabid, Z.*, Chakraborty, T., Hadid, A. ICMLA, 2022.

Theta Autoregressive Neural Network: A Hybrid Time Series Model for Pandemic Forecasting

Bhattacharyya, A., Pattnaik, M., Chattopadhyay, S., Chakraborty, T. IJCNN, 2021.

Uncovering patterns in heavy-tailed networks: A journey beyond scale-free

Chattopadhyay, S., Chakraborty, T., Ghosh, K., Das, A. K. ACM IKDD, 2021.

Best Paper Award Winner at ACM IKDD

Nowcasting of COVID-19 confirmed cases: Foundations, trends, and challenges

Chakraborty, T., Ghosh, I., Mahajan, T., Arora, T. Modeling, Control and Drug Development for COVID-19 Outbreak Prevention, 2022.

Loss Function

Chakraborty, T., Kumar, U. Encyclopedia of Mathematical Geosciences, 2022.

Data Dictionary

Panja, M., Chakraborty, T., Kumar, U. Encyclopedia of Mathematical Geosciences, 2022.