Ritabrata Dutta

发表

Fundamentals and Recent Developments in Approximate Bayesian Computation

M. Gutmann, Jarno Lintusaari, Ritabrata Dutta, 2016, Systematic biology.

Statistical Inference of Intractable Generative Models via Classification

M. Gutmann, Ritabrata Dutta, Samuel Kaski, 2014 .

Likelihood-free inference by penalised logistic regression

M. Gutmann, Ritabrata Dutta, Samuel Kaski, 2016 .

Likelihood-Free Inference by Ratio Estimation

Jukka Corander, Owen Thomas, Samuel Kaski, 2016, Bayesian Analysis.

Model Selection and Multiple Testing - A Bayesian and Empirical Bayes Overview and some New Results

J. Ghosh, Ritabrata Dutta, M. Bogdan, 2015, 1510.00547.

Likelihood-free inference via classification

Jukka Corander, Samuel Kaski, Michael U. Gutmann, 2014, Statistics and Computing.

ST ] 2 O ct 2 01 5 Model Selection and Multiple Testing-A Bayes and Empirical Bayes Overview and some New Results

J. Ghosh, M. Bogdan, Ritabrata Dutta, 2018 .

Bayes Model Selection with Path Sampling: Factor Models and Other Examples

J. Ghosh, Ritabrata Dutta, 2010, 1008.4373.

Score Matched Conditional Exponential Families for Likelihood-Free Inference∗

Ritabrata Dutta, Lorenzo Pacchiardi, 2020, 2012.10903.

Bayesian inference in hierarchical models by combining independent posteriors

Ritabrata Dutta, Samuel Kaski, P. Blomstedt, 2016, 1603.09272.

C O ] 7 S ep 2 01 8 ABCpy : A High-Performance Computing Perspective to Approximate Bayesian Computation ∗

A. Mira, Ritabrata Dutta, J. Onnela, 2018 .

Anomalous Platelet Transport & Fat-Tailed Distributions

Ritabrata Dutta, B. Chopard, K. Boudjeltia, 2020, 2006.11755.

Experimental and numerical study of heat transfer in horizontal concentric annulus containing phase change material

Ritabrata Dutta, T. Dutta, A. Atta, 2008 .

Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization

Ritabrata Dutta, Lorenzo Pacchiardi, P. Dueben, 2021, J. Mach. Learn. Res..

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

Ritabrata Dutta, Lorenzo Pacchiardi, 2022, ArXiv.

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

Ritabrata Dutta, Yulan He, Rilwan Adewoyin, 2022, NAACL.

Edinburgh Explorer Likelihood-free inference by ratio estimation

Ritabrata Dutta, Samuel Kaski, J. Corander, 2022 .

Bayesian linear models with unknown design over finite alphabets

A. Futschik, Ritabrata Dutta, Yuexuan Wang, 2022, bioRxiv.

Joint Likelihood-Free Inference of the Number of Selected SNPS and the Selection Coefficient in an Evolving Population

A. Futschik, Ritabrata Dutta, Yuehao Xu, 2022, bioRxiv.

Shear induced diffusion of platelets revisited

Ritabrata Dutta, F. Raynaud, B. Chopard, 2022, Frontiers in Physiology.

Incorporating environmental variability in a spatially-explicit individual-based model of European sea bass✰

R. Sibly, Ritabrata Dutta, N. Walker, 2022, Ecological Modelling.

Likelihood‐free parameter estimation for dynamic queueing networks: Case study of passenger flow in an international airport terminal

Kerrie Mengersen, Ritabrata Dutta, Antonietta Mira, 2018, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Generalized Bayesian Likelihood-Free Inference

Ritabrata Dutta, Lorenzo Pacchiardi, Sherman Khoo, 2021, 2104.03889.

Likelihood-Free Inference by Ratio Estimation

Jukka Corander, Samuel Kaski, Michael U. Gutmann, 2016, Bayesian Analysis.

Likelihood-free inference via classification

Ritabrata Dutta, Jukka Corander, Samuel Kaski, 2014, Stat. Comput..

Score Matched Neural Exponential Families for Likelihood-Free Inference

Ritabrata Dutta, Lorenzo Pacchiardi, 2020, J. Mach. Learn. Res..

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

A. Mira, Ritabrata Dutta, B. Chopard, 2020, PLoS Comput. Biol..

Interpretable pathological test for Cardio-vascular disease: Approximate Bayesian computation with distance learning

Bastien Chopard, Antonietta Mira, Christos Kotsalos, 2020 .

Distance-learning For Approximate Bayesian Computation To Model a Volcanic Eruption

Ritabrata Dutta, B. Chopard, Lorenzo Pacchiardi, 2019, Sankhya B.

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

Jukka-Pekka Onnela, Marcel Schöngens, Antonietta Mira, 2017, PASC.

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

Samuel Kaski, Sohan Seth, Ritabrata Dutta, 2013, ArXiv.

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

Lorenzo Pacchiardi, Ritabrata Dutta, Dante Kalise, 2020, PLoS Comput. Biol..

Bayesian inference of spreading processes on networks

Ritabrata Dutta, Antonietta Mira, Jukka-Pekka Onnela, 2017, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

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

Ritabrata Dutta, Yulan He, Peter Dueben, 2020, Machine Learning.

Probabilistic Forecasting with Conditional Generative Networks via Scoring Rule Minimization pdf

Ritabrata Dutta, Peter Dueben, Lorenzo Pacchiardi, 2021, ArXiv.

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

Ritabrata Dutta, Antonietta Mira, Jukka-Pekka Onnela, 2017, J. Stat. Softw..

Bayesian Inference of Network Epidemics

Ritabrata Dutta, Antonietta Mira, Jukka-Pekka “Jp” Onnela, 2017 .

Bayesian calibration of force-fields from experimental data: TIP4P water.

Ritabrata Dutta, Antonietta Mira, Zacharias Faidon Brotzakis, 2018, The Journal of chemical physics.

Anomalous Platelet Transport & Fat-Tailed Distributions

Ritabrata Dutta, B. Chopard, K. Boudjeltia, 2020, 2006.11755.

Parameter Estimation of Platelets Deposition: Approximate Bayesian Computation With High Performance Computing

Antonietta Mira, Frank Dubois, Bastien Chopard, 2017, Front. Physiol..

Intelligent Bayes Classifier (IBC) for ENT infection classification in hospital environment

Ritabrata Dutta, Ritaban Dutta, Ritabrata Dutta, 2006, Biomedical engineering online.

Fundamentals and Recent Developments in Approximate Bayesian Computation.

Jukka Corander, Samuel Kaski, Jarno Lintusaari, 2016, Systematic biology.

Bayesian inference of polymerase dynamics over the exclusion process

Ritabrata Dutta, Massimo Cavallaro, D. Hebenstreit, 2021, Royal Society Open Science.

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

Samuel Kaski, Sohan Seth, Alvis Brazma, 2015, Bioinform..

Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators

Ritabrata Dutta, Lorenzo Pacchiardi, 2021 .

Probabilistic Rainfall Downscaling: Joint Generalized Neural Models with Censored Spatial Gaussian Copula

Ritabrata Dutta, Rilwan A. Adewoyin, David Huk, 2023, 2308.09827.

Data-driven calibration of stochastic parametrization of IFS using approximate Bayesian computation

Ritabrata Dutta, 2022 .

"Maximum probability rule" based classification of MRSA infections in hospital environment: Using electronic nose

Ritaban Dutta, Ritabrata Dutta, Ritabrata Dutta, 2006 .

High-resolution Probabilistic Precipitation Prediction for use in Climate Simulations

Ritabrata Dutta, Sh-Tyan Lo, P. Watson, 2020, 2012.09821.

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

Ritabrata Dutta, D. Kalise, Lorenzo Pacchiardi, 2020, PLoS Comput. Biol..