| Leveraging polygenic enrichments of gene features to predict genes underlying complex traits and diseases EM Weeks, JC Ulirsch, NY Cheng, BL Trippe, RS Fine, J Miao, ... MedRxiv, 2020.09. 08.20190561, 2020 | 62 | 2020 |
| Conditional density estimation with bayesian normalising flows BL Trippe, RE Turner arXiv preprint arXiv:1802.04908, 2018 | 46 | 2018 |
| Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem BL Trippe, J Yim, D Tischer, T Broderick, D Baker, R Barzilay, T Jaakkola arXiv preprint arXiv:2206.04119, 2022 | 42 | 2022 |
| Overpruning in variational bayesian neural networks B Trippe, R Turner arXiv preprint arXiv:1801.06230, 2018 | 42 | 2018 |
| Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models JL Watson, D Juergens, NR Bennett, BL Trippe, J Yim, HE Eisenach, ... bioRxiv, 2022.12. 09.519842, 2022 | 27 | 2022 |
| The kernel interaction trick: Fast Bayesian discovery of pairwise interactions in high dimensions R Agrawal, B Trippe, J Huggins, T Broderick International Conference on Machine Learning, 141-150, 2019 | 21 | 2019 |
| LR-GLM: High-dimensional Bayesian inference using low-rank data approximations B Trippe, J Huggins, R Agrawal, T Broderick International Conference on Machine Learning, 6315-6324, 2019 | 10 | 2019 |
| Inhibition of cell fate repressors secures the differentiation of the touch receptor neurons of Caenorhabditis elegans C Zheng, FQ Jin, BL Trippe, J Wu, M Chalfie Development 145 (22), dev168096, 2018 | 8 | 2018 |
| Leveraging polygenic enrichments of gene features to predict genes underlying complex traits and diseases. medRxiv EM Weeks, JC Ulirsch, NY Cheng, BL Trippe, RS Fine, J Miao, ... Preprint posted online September 10, 2020 | 6 | 2020 |
| Neural network for processing aptamer data MTH Dimon, M Berndl, MA Coram, B Trippe, PF Riley, PC Nelson US Patent 10,546,650, 2020 | 5 | 2020 |
| Many processors, little time: MCMC for partitions via optimal transport couplings TD Nguyen, BL Trippe, T Broderick International Conference on Artificial Intelligence and Statistics, 3483-3514, 2022 | 3 | 2022 |
| Optimal transport couplings of Gibbs samplers on partitions for unbiased estimation BL Trippe, TD Nguyen, T Broderick arXiv preprint arXiv:2104.04514, 2021 | 3 | 2021 |
| For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets B Trippe, H Finucane, T Broderick Advances in Neural Information Processing Systems 34, 13471-13484, 2021 | 2 | 2021 |
| Confidently Comparing Estimates with the c-value BL Trippe, SK Deshpande, T Broderick Journal of the American Statistical Association, 1-12, 2023 | 1 | 2023 |
| Randomized gates eliminate bias in sort‐seq assays BL Trippe, B Huang, EA DeBenedictis, B Coventry, N Bhattacharya, ... Protein Science 31 (9), e4401, 2022 | 1 | 2022 |
| K-mer Motif Multinomial Mixtures, a scalable framework for multiple motif discovery BL Trippe, S Prabhakaran, HJ Bussemaker bioRxiv, 096735, 2016 | 1 | 2016 |
| Gaussian processes at the Helm (holtz): A more fluid model for ocean currents R Berlinghieri, BL Trippe, DR Burt, R Giordano, K Srinivasan, ... arXiv preprint arXiv:2302.10364, 2023 | | 2023 |
| SE (3) diffusion model with application to protein backbone generation J Yim, BL Trippe, V De Bortoli, E Mathieu, A Doucet, R Barzilay, ... arXiv preprint arXiv:2302.02277, 2023 | | 2023 |
| Bayesian Linear Modeling in High Dimensions: Advances in Hierarchical Modeling, Inference, and Evaluation BL Trippe Massachusetts Institute of Technology, 2022 | | 2022 |
| Gaussian Processes at the Helm (holtz) K Srinivasan, B Trippe, J Xia | | |
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
