Simons Foundation

Publications

Robust regression with compositional covariates

A. Mishra, C. Müller

Encoding Priors with Group Sparsity for Model Learning From Limited and Noisy Biological Data

Suryanarayana Maddu, Dominik Sturm, Bevan L Cheeseman, C. Müller, Ivo F Sbalzarini

c-lasso – a Python package for constrained sparse and robust regression and classification

Léo Simpson, Patrick L Combettes, C. Müller

Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition

Wendy Hui Kyong Chun, A. Barnett

Cardiolipin prevents pore formation in phosphatidylglycerol bacterial membrane models

Cristian Rocha-Roa, Juan David Orjuela, Chad Leidy, P. Cossio, Camilo Aponte-Santamaría

Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions

C. Modi, A. Barnett, B. Carpenter

Towards Adaptive Simulations of Dispersive Tsunami Propagation from an Asteroid Impact

M. Berger, Randall J. LeVeque

Transition rates, survival probabilities, and quality of bias from time-dependent biased simulations

Karen Palacio-Rodriguez, Hadrien Vroylandt, Lukas S. Stelzl, Fabio Pietrucci, Gerhard Hummer, P. Cossio

Quadrature by fundamental solutions: kernel-independent layer potential evaluation for large collections of simple objects

D. Stein, A. Barnett

A fast, high-order numerical method for the simulation of single-excitation states in quantum optics

Jeremy Hoskins, J. Kaye, M. Rachh, John C. Schotland

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