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ORCIDSamir Bhatt
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2020 – today
- 2026
[c5]Hengguan Huang, Xing Shen, Guang-Yuan Hao, Songtao Wang, Lingfa Meng, Dianbo Liu, David A. Duchêne, Hao Wang, Samir Bhatt:
BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling. AAAI 2026: 21939-21947- [i28]Alessandro Micheli, Yueqi Cao, Anthea Monod, Samir Bhatt:
Riemannian Neural Optimal Transport. CoRR abs/2602.03566 (2026) - [i27]Hairong Chen, Yicheng Feng, Ziyu Jia, Samir Bhatt, Hengguan Huang:
LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification. CoRR abs/2602.18195 (2026) - [i26]Alessandro Micheli, Silvia Sapora, Anthea Monod, Samir Bhatt:
Entropic Riemannian Neural Optimal Transport. CoRR abs/2605.04255 (2026) - [i25]Naoki Kiyohara, Harrison Bo Hua Zhu, Riccardo El Hassanin, Zhuo Sun, Wenlong Chen, Samir Bhatt, Yingzhen Li:
Interdomain Attention: Beyond Token-Level Key-Value Memory. CoRR abs/2605.24330 (2026) - [i24]Prince Ravi Leow
, Neil Scheidwasser, Rebecca Oscarsson, Per Jensen, Samir Bhatt, David A. Duchêne:
PlayClass: Automated Play Behaviour Classification in Poultry. CoRR abs/2605.27304 (2026) - [i23]Yang Song, Yixuan Zhang, Lingfa Meng, Tongyuan Hu, Haizhou Shi, Hao Wang, Samir Bhatt, Hengguan Huang:
iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis. CoRR abs/2605.30179 (2026) - [i22]Yixuan Zhang, Yang Song, Hao Wang, Samir Bhatt, Hengguan Huang:
Bayesian Selective Latent Inference for Wastewater-First Influenza Monitoring. CoRR abs/2606.09433 (2026) - [i21]Alessandro Micheli, Yueqi Cao, Anthea Monod, Samir Bhatt:
Generative Modeling on Metric Graphs via Neural Optimal Transport. CoRR abs/2606.16273 (2026) - 2025
- [j14]Neil Scheidwasser, Ayush Nag, Matthew J. Penn, Anthony MV Jakob, Frederik Mølkjær Andersen, Mark P. Khurana, Landung Setiawan, David A. Duchêne, Samir Bhatt:
phylo2vec: a library for vector-based phylogenetic tree manipulation. J. Open Source Softw. 10(116): 9040 (2025) - [j13]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:
Artificial intelligence for modelling infectious disease epidemics. Nat. 638(8051): 623-635 (2025) - [c4]Wenlong Chen, Naoki Kiyohara, Harrison Zhu, Jacob Curran-Sebastian, Samir Bhatt, Yingzhen Li:
Recurrent Memory for Online Interdomain Gaussian Processes. NeurIPS 2025 - [i20]Alessandro Micheli, Mélodie Monod, Samir Bhatt:
Diffusion Models for Inverse Problems in the Exponential Family. CoRR abs/2502.05994 (2025) - [i19]Mélodie Monod, Alessandro Micheli, Samir Bhatt:
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification. CoRR abs/2505.11054 (2025) - [i18]Andrea Zerio, Maya Bechler-Speicher, Maor Huri, Marie Vibeke Vestergaard, Ran Gilad-Bachrach, Tine Jess, Samir Bhatt, Aleksejs Sazonovs:
Interpretable Graph Learning Over Sets of Temporally-Sparse Data. CoRR abs/2505.19193 (2025) - [i17]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:
phylo2vec: a library for vector-based phylogenetic tree manipulation. CoRR abs/2506.19490 (2025) - [i16]Maya Bechler-Speicher, Andrea Zerio, Maor Huri, Marie Vibeke Vestergaard, Ran Gilad-Bachrach, Tine Jess, Samir Bhatt, Aleksejs Sazonovs:
Graph Mixing Additive Networks. CoRR abs/2509.23923 (2025) - 2024
- [j12]Judith A. Bouman, Anthony Hauser, Simon L. Grimm, Martin Wohlfender, Samir Bhatt, Elizaveta Semenova, Andrew Gelman, Christian L. Althaus, Julien Riou:
Bayesian workflow for time-varying transmission in stratified compartmental infectious disease transmission models. PLoS Comput. Biol. 20(4): 1011575 (2024) - [c3]Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin:
Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya. Epi UAI 2024: 13-27 - [i15]Makkunda Sharma, Fan Yang, Duy-Nhat Vo, Esra Suel, Swapnil Mishra, Samir Bhatt, Oliver Fiala, William Rudgard, Seth R. Flaxman:
KidSat: satellite imagery to map childhood poverty dataset and benchmark. CoRR abs/2407.05986 (2024) - [i14]Kaustubh Chakradeo, Pernille Nielsen, Lise Mette Rahbek Gjerdrum, Gry Sahl Hansen, David A. Duchêne, Laust Hvas Mortensen, Majken K. Jensen, Samir Bhatt:
Contrastive Deep Learning Reveals Age Biomarkers in Histopathological Skin Biopsies. CoRR abs/2411.16956 (2024) - 2023
- [j11]Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Samir Bhatt, Bernhard Schölkopf, Stefan Bauer:
Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases. PLoS Comput. Biol. 19(1) (2023) - [j10]Shozen Dan, Yu Chen, Yining Chen, Mélodie Monod, Veronika K. Jaeger, Samir Bhatt, André Karch, Oliver Ratmann:
Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model. PLoS Comput. Biol. 19(6) (2023) - [j9]Rebecca K. Nash, Samir Bhatt, Anne Cori, Pierre Nouvellet:
Estimating the epidemic reproduction number from temporally aggregated incidence data: A statistical modelling approach and software tool. PLoS Comput. Biol. 19(8) (2023) - [j8]Xenia Miscouridou, Samir Bhatt, George O. Mohler, Seth R. Flaxman, Swapnil Mishra:
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Giovanni Charles, Timothy M. Wolock, Peter Winskill, Azra C. Ghani, Samir Bhatt, Seth R. Flaxman:
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference. AAAI 2023: 14170-14177 - [i13]Matthew J. Penn, Neil Scheidwasser, Mark P. Khurana, David A. Duchêne, Christl A. Donnelly, Samir Bhatt:
Phylo2Vec: a vector representation for binary trees. CoRR abs/2304.12693 (2023) - [i12]Nicolas Banholzer, Thomas A. Mellan, H. Juliette T. Unwin, Stefan Feuerriegel, Swapnil Mishra, Samir Bhatt:
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models. CoRR abs/2305.00933 (2023) - [i11]Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin:
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya. CoRR abs/2305.19779 (2023) - [i10]Matthew J. Penn, Neil Scheidwasser, Joseph Penn, Christl A. Donnelly, David A. Duchêne, Samir Bhatt:
Leaping through tree space: continuous phylogenetic inference for rooted and unrooted trees. CoRR abs/2306.05739 (2023) - [i9]Matthew J. Penn, Christl A. Donnelly, Samir Bhatt:
Continuous football player tracking from discrete broadcast data. CoRR abs/2311.14642 (2023) - 2022
- [j7]Tomas Gavenciak, Joshua Teperowski Monrad, Gavin Leech, Mrinank Sharma, Sören Mindermann, Samir Bhatt, Jan Markus Brauner, Jan Kulveit:
Seasonal variation in SARS-CoV-2 transmission in temperate climates: A Bayesian modelling study in 143 European regions. PLoS Comput. Biol. 18(8) (2022) - [j6]Swapnil Mishra, Seth R. Flaxman, Tresnia Berah, Harrison Zhu, Mikko S. Pakkanen, Samir Bhatt:
πVAE: a stochastic process prior for Bayesian deep learning with MCMC. Stat. Comput. 32(6): 96 (2022) - [i8]Giovanni Charles, Timothy M. Wolock, Peter Winskill, Azra C. Ghani, Samir Bhatt, Seth R. Flaxman:
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference. CoRR abs/2209.09617 (2022) - [i7]Xenia Miscouridou, Samir Bhatt, George O. Mohler, Seth R. Flaxman, Swapnil Mishra:
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes. CoRR abs/2210.11844 (2022) - [i6]Christian Morgenstern, Daniel J. Laydon, Charles Whittaker, Swapnil Mishra, David J. Haw, Samir Bhatt, Neil M. Ferguson:
The interaction of transmission intensity, mortality, and the economy: a retrospective analysis of the COVID-19 pandemic. CoRR abs/2211.00054 (2022) - 2021
- [j5]H. Juliette T. Unwin, Isobel Routledge, Seth R. Flaxman, Marian-Andrei Rizoiu, Shengjie Lai, Justin Cohen, Daniel J. Weiss, Swapnil Mishra, Samir Bhatt:
Using Hawkes Processes to model imported and local malaria cases in near-elimination settings. PLoS Comput. Biol. 17(4) (2021) - [c1]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:
Gaussian process nowcasting: application to COVID-19 mortality reporting. UAI 2021: 1258-1268 - [i5]Elizaveta Semenova, Yidan Xu, Adam Howes, Theo Rashid, Samir Bhatt, Swapnil Mishra, Seth R. Flaxman:
Encoding spatiotemporal priors with VAEs for small-area estimation. CoRR abs/2110.10422 (2021) - 2020
- [j4]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:
Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach. PLoS Comput. Biol. 16(3) (2020) - [i4]Swapnil Mishra, Seth R. Flaxman, Samir Bhatt:
πVAE: Encoding stochastic process priors with variational autoencoders. CoRR abs/2002.06873 (2020) - [i3]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:
A unified machine learning approach to time series forecasting applied to demand at emergency departments. CoRR abs/2007.06566 (2020)
2010 – 2019
- 2019
- [i2]Philip Milton, Emanuele Giorgi, Samir Bhatt:
Spatial Analysis Made Easy with Linear Regression and Kernels. CoRR abs/1902.08679 (2019) - 2018
- [j3]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:
Mapping local variation in educational attainment across Africa. Nat. 555(7694): 48-53 (2018) - [i1]Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez:
Stochastic Optimal Control of Epidemic Processes in Networks. CoRR abs/1810.13043 (2018) - 2016
- [j2]Jayna Raghwani, Samir Bhatt, Oliver G. Pybus:
Faster Adaptation in Smaller Populations: Counterintuitive Evolution of HIV during Childhood Infection. PLoS Comput. Biol. 12(1) (2016) - 2013
- [j1]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:
The global distribution and burden of dengue. Nat. 496(7446): 504-507 (2013)
Coauthor Index
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last updated on 2026-07-12 23:53 CEST by the dblp team
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