Samir Bhatt

According to our database, Samir Bhatt authored at least 37 papers between 2013 and 2026.

Collaborative distances:

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

2026

LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification.

Hairong Chen, Yicheng Feng, Ziyu Jia, Samir Bhatt, Hengguan Huang

CoRR, February, 2026

Riemannian Neural Optimal Transport.

Alessandro Micheli, Yueqi Cao, Anthea Monod, Samir Bhatt

CoRR, February, 2026

BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling.

Hengguan Huang, Xing Shen, Guang-Yuan Hao, Songtao Wang, Lingfa Meng, Dianbo Liu, David A. Duchêne, Hao Wang, Samir Bhatt

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

phylo2vec: a library for vector-based phylogenetic tree manipulation.

Neil Scheidwasser, Ayush Nag, Matthew J. Penn, Anthony MV Jakob, Frederik Mølkjær Andersen, Mark P. Khurana, Landung Setiawan, David A. Duchêne, Samir Bhatt

J. Open Source Softw., December, 2025

Graph Mixing Additive Networks.

Maya Bechler-Speicher, Andrea Zerio, Maor Huri, Marie Vibeke Vestergaard, Ran Gilad-Bachrach, Tine Jess, Samir Bhatt, Aleksejs Sazonovs

CoRR, September, 2025

phylo2vec: a library for vector-based phylogenetic tree manipulation.

Neil Scheidwasser, Ayush Nag, Matthew J. Penn, Anthony MV Jakob, Frederik Mølkjær Andersen, Mark P. Khurana, Landung Setiawan, Madeline Gordon, David A. Duchêne, Samir Bhatt

CoRR, June, 2025

Interpretable Graph Learning Over Sets of Temporally-Sparse Data.

Andrea Zerio, Maya Bechler-Speicher, Maor Huri, Marie Vibeke Vestergaard, Ran Gilad-Bachrach, Tine Jess, Samir Bhatt, Aleksejs Sazonovs

CoRR, May, 2025

NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification.

Mélodie Monod, Alessandro Micheli, Samir Bhatt

CoRR, May, 2025

Artificial intelligence for modelling infectious disease epidemics.

Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Chang, Spyros Lytras, Mark P. Khurana, Samantha Vanderslott, Sumali Bajaj, Neil Scheidwasser, Jacob Liam Curran-Sebastian, Elizaveta Semenova, Mengyan Zhang, H. Juliette T. Unwin, Oliver J. Watson, Cathal Mills, Abhishek Dasgupta, Luca Ferretti, Samuel V. Scarpino, Etien Koua, Oliver Morgan, Houriiyah Tegally, Ulrich Paquet, Loukas Moutsianas, Christophe Fraser, Neil M. Ferguson, Eric J. Topol, David A. Duchêne, Tanja Stadler, Patricia Kingori, Michael J. Parker, Francesca Dominici, Nigel Shadbolt, Marc A. Suchard, Oliver Ratmann, Seth R. Flaxman, Edward C. Holmes, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Christl A. Donnelly, Oliver G. Pybus, Simon Cauchemez, Samir Bhatt

Nat., February, 2025

Diffusion Models for Inverse Problems in the Exponential Family.

Alessandro Micheli, Mélodie Monod, Samir Bhatt

CoRR, February, 2025

2024

Bayesian workflow for time-varying transmission in stratified compartmental infectious disease transmission models.

Judith A. Bouman, Anthony Hauser, Simon L. Grimm, Martin Wohlfender, Samir Bhatt, Elizaveta Semenova, Andrew Gelman, Christian L. Althaus, Julien Riou

PLoS Comput. Biol., 2024

Contrastive Deep Learning Reveals Age Biomarkers in Histopathological Skin Biopsies.

Kaustubh Chakradeo, Pernille Nielsen, Lise Mette Rahbek Gjerdrum, Gry Sahl Hansen, David A. Duchêne, Laust Hvas Mortensen, Majken K. Jensen, Samir Bhatt

CoRR, 2024

KidSat: satellite imagery to map childhood poverty dataset and benchmark.

Makkunda Sharma, Fan Yang, Duy-Nhat Vo, Esra Suel, Swapnil Mishra, Samir Bhatt, Oliver Fiala, William Rudgard, Seth R. Flaxman

CoRR, 2024

Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya.

Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin

Proceedings of the Epistemic Uncertainty in Artificial Intelligence, 2024

2023

Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases.

Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Samir Bhatt, Bernhard Schölkopf, Stefan Bauer

PLoS Comput. Biol., January, 2023

Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes.

Xenia Miscouridou, Samir Bhatt, George O. Mohler, Seth R. Flaxman, Swapnil Mishra

Trans. Mach. Learn. Res., 2023

Estimating the epidemic reproduction number from temporally aggregated incidence data: A statistical modelling approach and software tool.

Rebecca K. Nash, Samir Bhatt, Anne Cori, Pierre Nouvellet

PLoS Comput. Biol., 2023

Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model.

Shozen Dan, Yu Chen, Yining Chen, Mélodie Monod, Veronika K. Jaeger, Samir Bhatt, André Karch, Oliver Ratmann

PLoS Comput. Biol., 2023

Continuous football player tracking from discrete broadcast data.

Matthew J. Penn, Christl A. Donnelly, Samir Bhatt

CoRR, 2023

Leaping through tree space: continuous phylogenetic inference for rooted and unrooted trees.

Matthew J. Penn, Neil Scheidwasser, Joseph Penn, Christl A. Donnelly, David A. Duchêne, Samir Bhatt

CoRR, 2023

A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models.

Nicolas Banholzer, Thomas A. Mellan, H. Juliette T. Unwin, Stefan Feuerriegel, Swapnil Mishra, Samir Bhatt

CoRR, 2023

Phylo2Vec: a vector representation for binary trees.

Matthew J. Penn, Neil Scheidwasser, Mark P. Khurana, David A. Duchêne, Christl A. Donnelly, Samir Bhatt

CoRR, 2023

Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference.

Giovanni Charles, Timothy M. Wolock, Peter Winskill, Azra C. Ghani, Samir Bhatt, Seth R. Flaxman

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

πVAE: a stochastic process prior for Bayesian deep learning with MCMC.

Swapnil Mishra, Seth R. Flaxman, Tresnia Berah, Harrison Zhu, Mikko S. Pakkanen, Samir Bhatt

Stat. Comput., 2022

Seasonal variation in SARS-CoV-2 transmission in temperate climates: A Bayesian modelling study in 143 European regions.

Tomas Gavenciak, Joshua Teperowski Monrad, Gavin Leech, Mrinank Sharma, Sören Mindermann, Samir Bhatt, Jan Markus Brauner, Jan Kulveit

PLoS Comput. Biol., 2022

The interaction of transmission intensity, mortality, and the economy: a retrospective analysis of the COVID-19 pandemic.

Christian Morgenstern, Daniel J. Laydon, Charles Whittaker, Swapnil Mishra, David J. Haw, Samir Bhatt, Neil M. Ferguson

CoRR, 2022

2021

Using Hawkes Processes to model imported and local malaria cases in near-elimination settings.

H. Juliette T. Unwin, Isobel Routledge, Seth R. Flaxman, Marian-Andrei Rizoiu, Shengjie Lai, Justin Cohen, Daniel J. Weiss, Swapnil Mishra, Samir Bhatt

PLoS Comput. Biol., 2021

Encoding spatiotemporal priors with VAEs for small-area estimation.

Elizaveta Semenova, Yidan Xu, Adam Howes, Theo Rashid, Samir Bhatt, Swapnil Mishra, Seth R. Flaxman

CoRR, 2021

Gaussian process nowcasting: application to COVID-19 mortality reporting.

Iwona Hawryluk, Henrique Hoeltgebaum, Swapnil Mishra, Xenia Miscouridou, Ricardo P. Schnekenberg, Charles Whittaker, Michaela A. C. Vollmer, Seth R. Flaxman, Samir Bhatt, Thomas A. Mellan

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach.

Isobel Routledge, Shengjie Lai, Katherine E. Battle, Azra C. Ghani, Manuel Gomez-Rodriguez, Kyle Gustafson, Swapnil Mishra, Juliette Unwin, Joshua L. Proctor, Andrew J. Tatem, Zhongjie Li, Samir Bhatt

PLoS Comput. Biol., 2020

A unified machine learning approach to time series forecasting applied to demand at emergency departments.

Michaela A. C. Vollmer, Ben Glampson, Thomas A. Mellan, Swapnil Mishra, Luca Mercuri, Ceire Costelloe, Robert Klaber, Graham S. Cooke, Seth R. Flaxman, Samir Bhatt

CoRR, 2020

πVAE: Encoding stochastic process priors with variational autoencoders.

Swapnil Mishra, Seth R. Flaxman, Samir Bhatt

CoRR, 2020

2019

Spatial Analysis Made Easy with Linear Regression and Kernels.

Philip Milton, Emanuele Giorgi, Samir Bhatt

CoRR, 2019

2018

Mapping local variation in educational attainment across Africa.

Nicholas Graetz, Joseph Friedman, Aaron Osgood-Zimmerman, Roy Burstein, Molly H. Biehl, Chloe Shields, Jonathan F. Mosser, Daniel C. Casey, Aniruddha Deshpande, Lucas Earl, Robert C. Reiner, Sarah E. Ray, Nancy Fullman, Aubrey J. Levine, Rebecca W. Stubbs, Benjamin K. Mayala, Joshua Longbottom, Annie J. Browne, Samir Bhatt, Daniel J. Weiss, Peter W. Gething, Ali H. Mokdad, Stephen S. Lim, Christopher J. L. Murray, Emmanuela Gakidou, Simon I. Hay

Nat., 2018

Stochastic Optimal Control of Epidemic Processes in Networks.

Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez

CoRR, 2018

2016

Faster Adaptation in Smaller Populations: Counterintuitive Evolution of HIV during Childhood Infection.

Jayna Raghwani, Samir Bhatt, Oliver G. Pybus

PLoS Comput. Biol., 2016

2013

The global distribution and burden of dengue.

Samir Bhatt, Peter W. Gething, Oliver J. Brady, Jane P. Messina, Andrew W. Farlow, Catherine L. Moyes, John M. Drake, John S. Brownstein, Anne Gatewood Hoen, Osman Sankoh, Monica F. Myers, Dylan B. George, Thomas Jaenisch, G. R. William Wint, Cameron P. Simmons, Thomas W. Scott, Jeremy J. Farrar, Simon I. Hay

Nat., 2013