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Pankaj Mehta
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2020 – today
- 2024
- [j8]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) - 2022
- [j7]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): 1010349 (2022) - [c1]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: 90-98 - [i9]Jason W. Rocks, Pankaj Mehta:
Bias-variance decomposition of overparameterized regression with random linear features. CoRR abs/2203.05443 (2022) - 2021
- [i8]Jason W. Rocks, Pankaj Mehta:
The Geometry of Over-parameterized Regression and Adversarial Perturbations. CoRR abs/2103.14108 (2021) - 2020
- [i7]Jason W. Rocks, Pankaj Mehta:
Memorizing without overfitting: Bias, variance, and interpolation in over-parameterized models. CoRR abs/2010.13933 (2020)
2010 – 2019
- 2019
- [j6]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) - [i6]Owen Howell, Cui Wenping, Robert Marsland III, Pankaj Mehta:
Machine Learning as Ecology. CoRR abs/1908.00868 (2019) - 2018
- [i5]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 abs/1803.08823 (2018) - 2016
- [i4]David J. Schwab, Pankaj Mehta:
Comment on "Why does deep and cheap learning work so well?" [arXiv: 1608.08225]. CoRR abs/1609.03541 (2016) - 2015
- [j5]Charles K. Fisher, Pankaj Mehta:
Bayesian feature selection for high-dimensional linear regression via the Ising approximation with applications to genomics. Bioinform. 31(11): 1754-1761 (2015) - [j4]Charles K. Fisher, Pankaj Mehta:
Bayesian Feature Selection with Strongly Regularizing Priors Maps to the Ising Model. Neural Comput. 27(11): 2411-2422 (2015) - 2014
- [j3]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) - [j2]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) - [i3]Charles K. Fisher, Pankaj Mehta:
Fast Bayesian Feature Selection for High Dimensional Linear Regression in Genomics via the Ising Approximation. CoRR abs/1407.8187 (2014) - [i2]Pankaj Mehta, David J. Schwab:
An exact mapping between the Variational Renormalization Group and Deep Learning. CoRR abs/1410.3831 (2014) - [i1]Charles K. Fisher, Pankaj Mehta:
Bayesian feature selection with strongly-regularizing priors maps to the Ising Model. CoRR abs/1411.0591 (2014) - 2013
- [j1]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)
Coauthor Index
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