Robert McGibbon

According to our database, Robert McGibbon authored at least 14 papers between 2014 and 2025.

Collaborative distances:

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

2025

SOAP: A Python Package for Calculating the Properties of Galaxies and Halos Formed in Cosmological Simulations.

Robert McGibbon, John C. Helly, Joop Schaye, Matthieu Schaller, Bert Vandenbroucke

J. Open Source Softw., August, 2025

Pyleoclim: A Python package for the analysis and visualization of paleoclimate data.

Deborah Khider, Julien Emile-Geay, Feng Zhu, Alexander James, Jordan Landers, Myron Kwan, Pratheek Athreya, Robert McGibbon, Lionel Voirol, Dominik Stiller

Dataset, July, 2025

Pyleoclim: A Python package for the analysis and visualization of paleoclimate data.

Deborah Khider, Julien Emile-Geay, Feng Zhu, Alexander James, Jordan Landers, Myron Kwan, Pratheek Athreya, Robert McGibbon, Lionel Voirol, Dominik Stiller

Dataset, July, 2025

Pyleoclim: A Python package for the analysis and visualization of paleoclimate data.

Deborah Khider, Julien Emile-Geay, Feng Zhu, Alexander James, Jordan Landers, Myron Kwan, Pratheek Athreya, Robert McGibbon, Lionel Voirol

Dataset, January, 2025

2024

Pyleoclim: A Python package for the analysis and visualization of paleoclimate data.

Deborah Khider, Julien Emile-Geay, Feng Zhu, Alexander James, Jordan Landers, Myron Kwan, Pratheek Athreya, Robert McGibbon, Lionel Voirol

Dataset, July, 2024

Pyleoclim: A Python package for the analysis and visualization of paleoclimate data.

Deborah Khider, Julien Emile-Geay, Feng Zhu, Alexander James, Jordan Landers, Myron Kwan, Pratheek Athreya, Robert McGibbon, Lionel Voirol

Dataset, June, 2024

2023

Pyleoclim: A Python package for the analysis and visualization of paleoclimate data.

Deborah Khider, Julien Emile-Geay, Feng Zhu, Alexander James, Jordan Landers, Myron Kwan, Pratheek Athreya, Robert McGibbon

Dataset, June, 2023

Pyleoclim: A Python package for the analysis and visualization of paleoclimate data.

Deborah Khider, Julien Emile-Geay, Feng Zhu, Alexander James, Jordan Landers, Myron Kwan, Pratheek Athreya, Robert McGibbon

Dataset, April, 2023

Pyleoclim: A Python package for the analysis and visualization of paleoclimate data.

Deborah Khider, Julien Emile-Geay, Feng Zhu, Alexander James, Jordan Landers, Myron Kwan, Pratheek Athreya, Robert McGibbon

Dataset, April, 2023

2020

Efficient hyperparameter optimization by way of PAC-Bayes bound minimization.

John J. Cherian, Andrew G. Taube, Robert T. McGibbon, Panagiotis Angelikopoulos, Guy Blanc, Michael Snarski, Daniel D. Richman, John L. Klepeis, David E. Shaw

CoRR, 2020

2017

OpenMM 7: Rapid development of high performance algorithms for molecular dynamics.

Peter K. Eastman, Jason M. Swails, John D. Chodera, Robert McGibbon, Yutong Zhao, Kyle Beauchamp, Lee-Ping Wang, Andrew C. Simmonett, Matthew P. Harrigan, Chaya D. Stern, Rafal P. Wiewiora, Bernard R. Brooks, Vijay S. Pande

PLoS Comput. Biol., 2017

2016

Osprey: Hyperparameter Optimization for Machine Learning.

Robert T. McGibbon, Carlos X. Hernández, Matthew P. Harrigan, Steven Kearnes, Mohammad M. Sultan, Stanislaw Jastrzebski, Brooke E. Husic, Vijay S. Pande

J. Open Source Softw., 2016

Theano: A Python framework for fast computation of mathematical expressions.

Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

CoRR, 2016

2014

Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models.

Robert McGibbon, Bharath Ramsundar, Mohammad Sultan, Gert Kiss, Vijay S. Pande

Proceedings of the 31th International Conference on Machine Learning, 2014