Pankaj Mehta

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 10

Top Topics

Regression Problems

Feature Selection

Linear Regression

Top Venues

PLoS Comput. Biol.

Publications

Zhijie Feng, Robert Marsland III, Jason W. Rocks, Pankaj Mehta
Emergent competition shapes top-down versus bottom-up control in multi-trophic ecosystems. PLoS Comput. Biol. 20 (2) (2024)
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
HAL-X: Scalable hierarchical clustering for rapid and tunable single-cell analysis. PLoS Comput. Biol. 18 (10) (2022)
Tessil Thomas, Bharath Venkatasubramanian, Dinesh Sthapit, Christopher Gray, Atresh Gummadavelly, Janick Bergeron, Pankaj Mehta, Prabu Thangamuthu
Left-shifter: A pre-silicon framework for usage model based performance verification of the PCIe interface in server processor system on chips. ISPASS (2022)
Jason W. Rocks, Pankaj Mehta
Bias-variance decomposition of overparameterized regression with random linear features. CoRR (2022)
Jason W. Rocks, Pankaj Mehta
The Geometry of Over-parameterized Regression and Adversarial Perturbations. CoRR (2021)
Jason W. Rocks, Pankaj Mehta
Memorizing without overfitting: Bias, variance, and interpolation in over-parameterized models. CoRR (2020)
Robert Marsland III, Cui Wenping, Joshua Goldford, Alvaro Sanchez, Kirill S. Korolev, Pankaj Mehta
Available energy fluxes drive a transition in the diversity, stability, and functional structure of microbial communities. PLoS Comput. Biol. 15 (2) (2019)
Owen Howell, Cui Wenping, Robert Marsland III, Pankaj Mehta
Machine Learning as Ecology. CoRR (2019)
Pankaj Mehta, Marin Bukov, Ching-Hao Wang, Alexandre G. R. Day, Clint Richardson, Charles K. Fisher, David J. Schwab
A high-bias, low-variance introduction to Machine Learning for physicists. CoRR (2018)
David J. Schwab, Pankaj Mehta
Comment on "Why does deep and cheap learning work so well?" [arXiv: 1608.08225]. CoRR (2016)
Charles K. Fisher, Pankaj Mehta
Bayesian Feature Selection with Strongly Regularizing Priors Maps to the Ising Model. Neural Comput. 27 (11) (2015)
Charles K. Fisher, Pankaj Mehta
Bayesian feature selection for high-dimensional linear regression via the Ising approximation with applications to genomics. Bioinform. 31 (11) (2015)
Charles K. Fisher, Pankaj Mehta
Bayesian feature selection with strongly-regularizing priors maps to the Ising Model. CoRR (2014)
Charles K. Fisher, Pankaj Mehta
Fast Bayesian Feature Selection for High Dimensional Linear Regression in Genomics via the Ising Approximation. CoRR (2014)
Lin Chen, Javad Noorbakhsh, Rhys M. Adams, Joseph Samaniego-Evans, Germaine Agollah, Dmitry Nevozhay, Jennie Kuzdzal-Fick, Pankaj Mehta, Gábor Balázsi
Two-Dimensionality of Yeast Colony Expansion Accompanied by Pattern Formation. PLoS Comput. Biol. 10 (12) (2014)
Alex H. Lang, Hu Li, James J. Collins, Pankaj Mehta
Epigenetic Landscapes Explain Partially Reprogrammed Cells and Identify Key Reprogramming Genes. PLoS Comput. Biol. 10 (8) (2014)
Pankaj Mehta, David J. Schwab
An exact mapping between the Variational Renormalization Group and Deep Learning. CoRR (2014)
Ed Reznik, Pankaj Mehta, Daniel Segrè
Flux Imbalance Analysis and the Sensitivity of Cellular Growth to Changes in Metabolite Pools. PLoS Comput. Biol. 9 (8) (2013)