| Interpretable and tractable models of transcriptional noise for the rational design of single-molecule quantification experiments G Gorin, JJ Vastola, M Fang, L Pachter Nature Communications 13 (1), 7620, 2022 | 44 | 2022 |
| Studying stochastic systems biology of the cell with single-cell genomics data G Gorin, JJ Vastola, L Pachter Cell Systems 14 (10), 822-843. e22, 2023 | 21 | 2023 |
| Solving the chemical master equation for monomolecular reaction systems and beyond: a Doi-Peliti path integral view JJ Vastola Journal of Mathematical Biology 83 (5), 48, 2021 | 13 | 2021 |
| Analytic solution of chemical master equations involving gene switching. I: Representation theory and diagrammatic approach to exact solution JJ Vastola, G Gorin, L Pachter, WR Holmes arXiv preprint arXiv:2103.10992, 2021 | 10 | 2021 |
| Causal inference during closed-loop navigation: parsing of self-and object-motion JP Noel, J Bill, H Ding, J Vastola, GC DeAngelis, DE Angelaki, ... Philosophical Transactions of the Royal Society B 378 (1886), 20220344, 2023 | 9 | 2023 |
| Diffusion models generate images like painters: an analytical theory of outline first, details later B Wang, JJ Vastola arXiv preprint arXiv:2303.02490, 2023 | 8 | 2023 |
| Chemical Langevin equation: A path-integral view of Gillespie's derivation JJ Vastola, WR Holmes Physical Review E 101 (3), 032417, 2020 | 8 | 2020 |
| Stochastic path integrals can be derived like quantum mechanical path integrals JJ Vastola, WR Holmes arXiv preprint arXiv:1909.12990, 2019 | 8 | 2019 |
| In search of a coherent theoretical framework for stochastic gene regulation JJ Vastola Vanderbilt University, 2021 | 6 | 2021 |
| The chemical birth-death process with additive noise JJ Vastola arXiv preprint arXiv:1910.09117, 2019 | 5 | 2019 |
| The Hidden Linear Structure in Score-Based Models and its Application B Wang, JJ Vastola arXiv preprint arXiv:2311.10892, 2023 | 3 | 2023 |
| The chemical birth-death process with Gillespie noise JJ Vastola arXiv preprint arXiv:1910.10807, 2019 | 3 | 2019 |
| Is the information geometry of probabilistic population codes learnable? JJ Vastola, Z Cohen, J Drugowitsch NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 258-277, 2023 | 1 | 2023 |
| Optimal packing of attractor states in neural representations J Vastola NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations, 2023 | | 2023 |
| Interpretable and tractable probabilistic models for single-cell RNA sequencing G Gorin, L Pachter, M Fang, J Vastola APS March Meeting Abstracts 2023, Z06. 013, 2023 | | 2023 |
| RNA splicing and the renormalization group: why simple models can effectively describe complex and noisy gene networks J Vastola, W Holmes APS March Meeting Abstracts 2021, P13. 009, 2021 | | 2021 |
| Can Brazilian butterfly flaps destroy the universe? How fundamental limits on knowledge and computation force Laplace’s demon to become a scientist JJ Vastola | | 2020 |
| Analytically Evaluating Sums in Quantum and Statistical Physics Using Integral Transforms J Vastola APS March Meeting Abstracts 2015, H1. 036, 2015 | | 2015 |
| High variance score function estimates help diffusion models generalize J Vastola | | |
| Who’s Afraid of Max Delbrück? JJ Vastola | | |
