Flux Imbalance Analysis and the Sensitivity of Cellular Growth to Changes in Metabolite Pools. - Ed Reznik; Pankaj Mehta; Daniel Segrè (PLoS Comput. Biol., 2013)

Fast Bayesian Feature Selection for High Dimensional Linear Regression in Genomics via the Ising Approximation. - Charles K. Fisher; Pankaj Mehta (CoRR, 2014)

An exact mapping between the Variational Renormalization Group and Deep Learning. - Pankaj Mehta; David J. Schwab (CoRR, 2014)

Two-Dimensionality of Yeast Colony Expansion Accompanied by Pattern Formation. - Lin Chen; Javad Noorbakhsh; Rhys M. Adams; Joseph Samaniego-Evans; Germaine Agollah; Dmitry Nevozhay; Jennie Kuzdzal-Fick; Pankaj Mehta; Gábor Balázsi (PLoS Comput. Biol., 2014)

Epigenetic Landscapes Explain Partially Reprogrammed Cells and Identify Key Reprogramming Genes. - Alex H. Lang; Hu Li; James J. Collins; Pankaj Mehta (PLoS Comput. Biol., 2014)

Bayesian feature selection for high-dimensional linear regression via the Ising approximation with applications to genomics. - Charles K. Fisher; Pankaj Mehta (Bioinform., 2015)

Bayesian Feature Selection with Strongly Regularizing Priors Maps to the Ising Model. - Charles K. Fisher; Pankaj Mehta (Neural Comput., 2015)

Comment on "Why does deep and cheap learning work so well?" [arXiv: 1608.08225]. - David J. Schwab; Pankaj Mehta (CoRR, 2016)

A high-bias, low-variance introduction to Machine Learning for physicists. - Pankaj Mehta; Marin Bukov; Ching-Hao Wang; Alexandre G. R. Day; Clint Richardson; Charles K. Fisher; David J. Schwab (CoRR, 2018)

Machine Learning as Ecology. - Owen Howell; Cui Wenping; Robert Marsland III; Pankaj Mehta (CoRR, 2019)

Available energy fluxes drive a transition in the diversity, stability, and functional structure of microbial communities. - Robert Marsland III; Cui Wenping; Joshua Goldford; Alvaro Sanchez; Kirill S. Korolev; Pankaj Mehta (PLoS Comput. Biol., 2019)

Memorizing without overfitting: Bias, variance, and interpolation in over-parameterized models. - Jason W. Rocks; Pankaj Mehta (CoRR, 2020)

The Geometry of Over-parameterized Regression and Adversarial Perturbations. - Jason W. Rocks; Pankaj Mehta (CoRR, 2021)

Left-shifter: A pre-silicon framework for usage model based performance verification of the PCIe interface in server processor system on chips. - Tessil Thomas; Bharath Venkatasubramanian; Dinesh Sthapit; Christopher Gray; Atresh Gummadavelly; Janick Bergeron; Pankaj Mehta; Prabu Thangamuthu (ISPASS, 2022)

Bias-variance decomposition of overparameterized regression with random linear features. - Jason W. Rocks; Pankaj Mehta (CoRR, 2022)

HAL-X: Scalable hierarchical clustering for rapid and tunable single-cell analysis. - James T. Anibal; Alexandre G. R. Day; Erol Bahadiroglu; Liam O'Neil; Long N. Phan; Alec Peltekian; Amir Erez; Mariana Kaplan; Grégoire Altan-Bonnet; Pankaj Mehta (PLoS Comput. Biol., 2022)

Emergent competition shapes top-down versus bottom-up control in multi-trophic ecosystems. - Zhijie Feng; Robert Marsland III; Jason W. Rocks; Pankaj Mehta (PLoS Comput. Biol., 2024)

Inferring genotype-phenotype maps using attention models. - Krishna Rijal; Caroline M. Holmes; Samantha Petti; Gautam Reddy; Michael M. Desai; Pankaj Mehta (CoRR, 2025)