Ritabrata Dutta

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 15

Top Topics

Conditional Likelihood

Gene Expression

Bayes Classification

Top Venues

PLoS Comput. Biol.

Publications

David Huk, Yuanhe Zhang, Mark Steel, Ritabrata Dutta
Quasi-Bayes meets Vines. CoRR (2024)
Rilwan A. Adewoyin, Ritabrata Dutta, Yulan He
RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators. CoRR (2022)
Rilwan Adewoyin, Ritabrata Dutta, Yulan He
RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators. NAACL-HLT (2022)
Lorenzo Pacchiardi, Ritabrata Dutta
Score Matched Neural Exponential Families for Likelihood-Free Inference. J. Mach. Learn. Res. 23 (2022)
Lorenzo Pacchiardi, Ritabrata Dutta
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization. CoRR (2022)
Ritabrata Dutta, Karim Zouaoui Boudjeltia, Christos Kotsalos, Alexandre Rousseau, Daniel Ribeiro de Sousa, Jean-Marc Desmet, Alain Van Meerhaeghe, Antonietta Mira, Bastien Chopard
Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning. PLoS Comput. Biol. 18 (3) (2022)
Lorenzo Pacchiardi, Rilwan Adewoyin, Peter Dueben, Ritabrata Dutta
Probabilistic Forecasting with Conditional Generative Networks via Scoring Rule Minimization. CoRR (2021)
Ritabrata Dutta, Marcel Schöngens, Lorenzo Pacchiardi, Avinash Ummadisingu, Nicole Widmer, Pierre Künzli, Jukka-Pekka Onnela, Antonietta Mira
ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation. J. Stat. Softw. 100 (7) (2021)
Rilwan A. Adewoyin, Peter Dueben, Peter Watson, Yulan He, Ritabrata Dutta
TRU-NET: a deep learning approach to high resolution prediction of rainfall. Mach. Learn. 110 (8) (2021)
Ritabrata Dutta, Susana N. Gomes, Dante Kalise, Lorenzo Pacchiardi
Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic. PLoS Comput. Biol. 17 (8) (2021)
Rilwan Adewoyin, Peter Dueben, Peter Watson, Yulan He, Ritabrata Dutta
TRU-NET: A Deep Learning Approach to High Resolution Prediction of Rainfall. CoRR (2020)
Michael U. Gutmann, Ritabrata Dutta, Samuel Kaski, Jukka Corander
Likelihood-free inference via classification. Stat. Comput. 28 (2) (2018)
Ritabrata Dutta, Marcel Schöngens, Jukka-Pekka Onnela, Antonietta Mira
ABCpy: A User-Friendly, Extensible, and Parallel Library for Approximate Bayesian Computation. PASC (2017)
Paul Blomstedt, Ritabrata Dutta, Sohan Seth, Alvis Brazma, Samuel Kaski
Modelling-based experiment retrieval: a case study with gene expression clustering. Bioinform. 32 (9) (2016)
Paul Blomstedt, Ritabrata Dutta, Sohan Seth, Alvis Brazma, Samuel Kaski
Modelling-based experiment retrieval: A case study with gene expression clustering. CoRR (2015)
Ritabrata Dutta, Sohan Seth, Samuel Kaski
Retrieval of Experiments with Sequential Dirichlet Process Mixtures in Model Space. CoRR (2013)