Ritabrata Dutta

According to our database, Ritabrata Dutta authored at least 15 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization.

Lorenzo Pacchiardi, Rilwan A. Adewoyin, Peter Dueben, Ritabrata Dutta

J. Mach. Learn. Res., 2024

Estimating Haplotype Structure and Frequencies: A Bayesian Approach to Unknown Design in Pooled Genomic Data.

Yuexuan Wang, Ritabrata Dutta, Andreas Futschik

J. Comput. Biol., 2024

Quasi-Bayes meets Vines.

David Huk, Yuanhe Zhang, Mark Steel, Ritabrata Dutta

CoRR, 2024

2022

Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning.

Ritabrata Dutta, Karim Zouaoui Boudjeltia, Christos Kotsalos, Alexandre Rousseau, Daniel Ribeiro de Sousa, Jean-Marc Desmet, Alain Van Meerhaeghe, Antonietta Mira, Bastien Chopard

PLoS Comput. Biol., 2022

Score Matched Neural Exponential Families for Likelihood-Free Inference.

Lorenzo Pacchiardi, Ritabrata Dutta

J. Mach. Learn. Res., 2022

Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization.

Lorenzo Pacchiardi, Ritabrata Dutta

CoRR, 2022

RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators.

Rilwan Adewoyin, Ritabrata Dutta, Yulan He

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic.

Ritabrata Dutta, Susana N. Gomes, Dante Kalise, Lorenzo Pacchiardi

PLoS Comput. Biol., 2021

TRU-NET: a deep learning approach to high resolution prediction of rainfall.

Rilwan A. Adewoyin, Peter Dueben, Peter Watson, Yulan He, Ritabrata Dutta

Mach. Learn., 2021

ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation.

Ritabrata Dutta, Marcel Schöngens, Lorenzo Pacchiardi, Avinash Ummadisingu, Nicole Widmer, Pierre Künzli, Jukka-Pekka Onnela, Antonietta Mira

J. Stat. Softw., 2021

Probabilistic Forecasting with Conditional Generative Networks via Scoring Rule Minimization.

Lorenzo Pacchiardi, Rilwan Adewoyin, Peter Dueben, Ritabrata Dutta

CoRR, 2021

2018

Likelihood-free inference via classification.

Michael U. Gutmann, Ritabrata Dutta, Samuel Kaski, Jukka Corander

Stat. Comput., 2018

2017

ABCpy: A User-Friendly, Extensible, and Parallel Library for Approximate Bayesian Computation.

Ritabrata Dutta, Marcel Schöngens, Jukka-Pekka Onnela, Antonietta Mira

Proceedings of the Platform for Advanced Scientific Computing Conference, 2017

2016

Modelling-based experiment retrieval: a case study with gene expression clustering.

Paul Blomstedt, Ritabrata Dutta, Sohan Seth, Alvis Brazma, Samuel Kaski

Bioinform., 2016

2013

Retrieval of Experiments with Sequential Dirichlet Process Mixtures in Model Space.

Ritabrata Dutta, Sohan Seth, Samuel Kaski

CoRR, 2013