| Discovery and refinement of loci associated with lipid levels CJ Willer, EM Schmidt, S Sengupta, GM Peloso, S Gustafsson, S Kanoni, ... Nature Genetics 45 (11), 1274-1283, 2013 | 2968* | 2013 |
| Common variants associated with plasma triglycerides and risk for coronary artery disease R Do, CJ Willer, EM Schmidt, S Sengupta, C Gao, GM Peloso, ... Nature Genetics 45 (11), 1345-1352, 2013 | 1034 | 2013 |
| Forward-mode automatic differentiation in Julia J Revels, M Lubin, T Papamarkou arXiv preprint arXiv:1607.07892, 2016 | 467 | 2016 |
| Distributions.jl: definition and modeling of probability distributions in the JuliaStats ecosystem M Besançon, T Papamarkou, D Anthoff, A Arslan, S Byrne, D Lin, ... Journal of Statistical Software 98 (16), 2021 | 84 | 2021 |
| Challenges in Markov chain Monte Carlo for Bayesian neural networks T Papamarkou, J Hinkle, MT Young, D Womble Statistical Science 37 (3), 425-442, 2022 | 58* | 2022 |
| The controlled thermodynamic integral for Bayesian model evidence evaluation CJ Oates, T Papamarkou, M Girolami Journal of the American Statistical Association 111 (514), 634-645, 2016 | 56 | 2016 |
| The second European interdisciplinary Ewing sarcoma research summit–A joint effort to deconstructing the multiple layers of a complex disease H Kovar, J Amatruda, E Brunet, S Burdach, F Cidre-Aranaz, E De Alava, ... Oncotarget 7 (8), 8613, 2016 | 51 | 2016 |
| RNA editing generates cellular subsets with diverse sequence within populations D Harjanto, T Papamarkou, CJ Oates, V Rayon-Estrada, FN Papavasiliou, ... Nature Communications 7 (1), 1-14, 2016 | 49 | 2016 |
| EWS-FLI1 employs an E2F switch to drive target gene expression R Schwentner, T Papamarkou, MO Kauer, V Stathopoulos, F Yang, ... Nucleic Acids Research 43 (5), 2780-2789, 2015 | 47 | 2015 |
| Zero variance differential geometric Markov chain Monte Carlo algorithms T Papamarkou, A Mira, M Girolami Bayesian Analysis 9 (1), 97-128, 2014 | 39 | 2014 |
| A genome-wide screen for interactions reveals a new locus on 4p15 modifying the effect of waist-to-hip ratio on total cholesterol I Surakka, A Isaacs, LC Karssen, PPP Laurila, RPS Middelberg, ... PLoS Genetics 7 (10), e1002333, 2011 | 38 | 2011 |
| Topological deep learning: going beyond graph data M Hajij, G Zamzmi, T Papamarkou, N Miolane, A Guzmán-Sáenz, ... arXiv preprint arXiv:2206.00606, 2023 | 37* | 2023 |
| Lapatinib potentiates cytotoxicity of YM155 in neuroblastoma via inhibition of the ABCB1 efflux transporter B Radic-Sarikas, M Halasz, KVM Huber, GE Winter, KP Tsafou, ... Scientific Reports 7 (1), 1-8, 2017 | 37 | 2017 |
| Gender differences in equity crowdfunding EA Horvat, T Papamarkou 5th AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2017 | 33 | 2017 |
| Meta analysis of candidate gene variants outside the LPA locus with Lp (a) plasma levels in 14,500 participants of six White European cohorts D Zabaneh, M Kumari, M Sandhu, N Wareham, N Wainwright, ... Atherosclerosis 217 (2), 447-451, 2011 | 33 | 2011 |
| Wide neural networks with bottlenecks are deep Gaussian processes D Agrawal, T Papamarkou, J Hinkle Journal of Machine Learning Research 21 (175), 1-66, 2020 | 31 | 2020 |
| Automated detection of corrosion in used nuclear fuel dry storage canisters using residual neural networks T Papamarkou, H Guy, B Kroencke, J Miller, P Robinette, D Schultz, ... Nuclear Engineering and Technology 53 (2), 657-665, 2021 | 28* | 2021 |
| Synchronized laser chaos communication: statistical investigation of an experimental system AJ Lawrance, T Papamarkou, A Uchida IEEE Journal of Quantum Electronics 53 (2), 1-10, 2017 | 26 | 2017 |
| Discussion on horseshoe regularisation for machine learning in complex and deep models D Dunson, T Papamarkou International Statistical Review, 2020 | 22* | 2020 |
| Combinatorial drug screening identifies Ewing sarcoma–specific sensitivities B Radic-Sarikas, KP Tsafou, KB Emdal, T Papamarkou, KVM Huber, ... Molecular Cancer Therapeutics 16 (1), 88-101, 2017 | 21 | 2017 |
Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
