Pankaj Mehta

According to our database, Pankaj Mehta authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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., February, 2024

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., October, 2022

Bias-variance decomposition of overparameterized regression with random linear features.

Jason W. Rocks, Pankaj Mehta

CoRR, 2022

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

Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

2021

The Geometry of Over-parameterized Regression and Adversarial Perturbations.

Jason W. Rocks, Pankaj Mehta

CoRR, 2021

2020

Memorizing without overfitting: Bias, variance, and interpolation in over-parameterized models.

Jason W. Rocks, Pankaj Mehta

CoRR, 2020

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

Machine Learning as Ecology.

Owen Howell, Cui Wenping, Robert Marsland III, Pankaj Mehta

CoRR, 2019

2018

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

2016

Comment on "Why does deep and cheap learning work so well?" [arXiv: 1608.08225].

David J. Schwab, Pankaj Mehta

CoRR, 2016

2015

Bayesian Feature Selection with Strongly Regularizing Priors Maps to the Ising Model.

Charles K. Fisher, Pankaj Mehta

Neural Comput., 2015

Bayesian feature selection for high-dimensional linear regression via the Ising approximation with applications to genomics.

Charles K. Fisher, Pankaj Mehta

Bioinform., 2015

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

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

An exact mapping between the Variational Renormalization Group and Deep Learning.

Pankaj Mehta, David J. Schwab

CoRR, 2014

Fast Bayesian Feature Selection for High Dimensional Linear Regression in Genomics via the Ising Approximation.

Charles K. Fisher, Pankaj Mehta

CoRR, 2014

2013

Flux Imbalance Analysis and the Sensitivity of Cellular Growth to Changes in Metabolite Pools.

Ed Reznik, Pankaj Mehta, Daniel Segrè

PLoS Comput. Biol., 2013