Peter Sadowski

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All published works

Action	Title	Year	Authors
+	BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI	2024	Arianna Bunnell Kailee Hung John Shepherd Peter Sadowski
+ PDF Chat	Artificial Intelligence-Informed Handheld Breast Ultrasound for Screening: A Systematic Review of Diagnostic Test Accuracy	2024	Arianna Bunnell Dustin Valdez Fredrik Strand Yannik Glaser Peter Sadowski John Shepherd
+ PDF Chat	Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images	2024	Arianna Bunnell Dustin Valdez Thomas Wolfgruber Brandon K. Quon Kailee Hung Brenda Y. Hernandez Todd B. Seto Jeffrey Killeen Masayoshi Miyoshi Peter Sadowski
+ PDF Chat	Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D): I. Overview, Magnetohydrodynamic Modeling, and Stokes Profile Synthesis	2024	Kai Yang Lucas A. Tarr M. Rempel S. Curt Dodds Sarah A. Jaeggli Peter Sadowski Thomas A. Schad Ian Cunnyngham Jiayi Liu Yannik Glaser
+ PDF Chat	Neural Surrogate HMC: Accelerated Hamiltonian Monte Carlo with a Neural Network Surrogate Likelihood	2024	L. Wolniewicz Peter Sadowski C. Corti
+ PDF Chat	FishNet: Deep Neural Networks for Low-Cost Fish Stock Estimation	2024	Moseli Mots’oehli Anton Nikolaev Wawan B. IGede John Lynham Peter J. Mous Peter Sadowski
+ PDF Chat	BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI	2024	Arianna Bunnell Kailee Hung John Shepherd Peter Sadowski
+ PDF Chat	Deep probabilistic direction prediction in 3D with applications to directional dark matter detectors	2024	Majd Ghrear Peter Sadowski S. Vahsen
+ PDF Chat	Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound	2024	Arianna Bunnell Yannik Glaser Dustin Valdez Thomas Wolfgruber Aleen Altamirano Carol Zamora González Brenda Y. Hernandez Peter Sadowski John Shepherd
+ PDF Chat	WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images	2024	Yannik Glaser Justin E. Stopa Linnea M. Wolniewicz Ralph Foster Doug Vandemark Alexis Mouche Bertrand Chapron Peter Sadowski
+ PDF Chat	Deep Probabilistic Direction Prediction in 3D with Applications to Directional Dark Matter Detectors	2024	Majd Ghrear Peter Sadowski Sven Einar Vahsen
+ PDF Chat	FishNet: Deep Neural Networks for Low-Cost Fish Stock Estimation	2024	Moseli Mots’oehli Anton Nikolaev Wawan B. IGede John Lynham Peter J. Mous Peter Sadowski
+ PDF Chat	Constraining the global heliospheric transport of galactic cosmic rays in solar cycles 23 and 24	2023	C. Corti Peter Sadowski N. Nikonov M. S. Potgieter V. Bindi
+	Diffusion Models for High-Resolution Solar Forecasts	2023	Yusuke Hatanaka Yannik Glaser Geoff Galgon Giuseppe Torri Peter Sadowski
+	Constraining the global heliospheric transport of galactic cosmic rays in solar cycles 23 and 24	2023	C. Corti Peter Sadowski N. Nikonov M. S. Potgieter V. Bindi
+ PDF Chat	Recovery of TESS Stellar Rotation Periods Using Deep Learning	2022	Zachary R. Claytor Jennifer L. van Saders Joe Llama Peter Sadowski Brandon Quach Ellis A. Avallone
+ PDF Chat	Deep Learning from Four Vectors	2022	Pierre Baldi Peter Sadowski D. Whiteson
+ PDF Chat	Deep Learning from Four Vectors	2022	Pierre Baldi Peter Sadowski D. Whiteson
+	Deep Learning From Four Vectors	2022	Pierre Baldi Peter Sadowski D. Whiteson
+	Recovery of TESS Stellar Rotation Periods with Deep Learning	2021	Zachary R. Claytor Jennifer L. van Saders Joe Llama Peter Sadowski Brandon Quach Ellis A. Avallone
+ PDF Chat	Proxy-based Prediction of Solar Extreme Ultraviolet Emission Using Deep Learning	2021	Anthony Pineci Peter Sadowski Eric Gaidos Xudong Sun
+	Tourbillon: a Physically Plausible Neural Architecture	2021	Mohammadamin Tavakoli Peter Sadowski Pierre Baldi
+	Sherpa: Robust hyperparameter optimization for machine learning	2020	Lars Hertel Julian Collado Peter Sadowski Jordan Ott Pierre Baldi
+	Sherpa: Robust Hyperparameter Optimization for Machine Learning	2020	Lars Hertel Julian Collado Peter Sadowski Jordan Ott Pierre Baldi
+	Sherpa: Robust Hyperparameter Optimization for Machine Learning	2020	Lars Hertel Julian Collado Peter Sadowski Jordan Ott Pierre Baldi
+	Thermodynamic Computing	2019	Thomas M. Conte Erik P. DeBenedictis Natesh Ganesh Todd Hylton Susanne Still John Paul Strachan R. Stanley Williams Alexander A. Alemi Lee Altenberg Gavin E. Crooks
+	Learning in the machine: Random backpropagation and the deep learning channel	2018	Pierre Baldi Peter Sadowski Zhiqin Lu
+ PDF Chat	Decorrelated jet substructure tagging using adversarial neural networks	2017	Chase Owen Shimmin Peter Sadowski Pierre Baldi Edison Weik D. Whiteson Edward Goul A. Søgaard
+	Efficient antihydrogen detection in antimatter physics by deep learning	2017	Peter Sadowski B. Radics Ananya Y. Yamazaki Pierre Baldi
+ PDF Chat	Learning in the machine: The symmetries of the deep learning channel	2017	Pierre Baldi Peter Sadowski Zhiqin Lu
+	Learning in the Machine: the Symmetries of the Deep Learning Channel	2017	Pierre Baldi Peter Sadowski Zhiqin Lu
+	Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning	2017	Peter Sadowski B. Radics Ananya Y. Yamazaki Pierre Baldi
+ PDF Chat	Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks	2016	Evan Racah Seyoon Ko Peter Sadowski W. Bhimji C. E. Tull Sang‐Yun Oh Pierre Baldi Prabhat
+ PDF Chat	A theory of local learning, the learning channel, and the optimality of backpropagation	2016	Pierre Baldi Peter Sadowski
+ PDF Chat	Jet substructure classification in high-energy physics with deep neural networks	2016	Pierre Baldi Kevin Thomas Bauer Clara Eng Peter Sadowski D. Whiteson
+ PDF Chat	PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures	2016	Md. Mostofa Ali Patwary Nadathur Satish Narayanan Sundaram Jialin Liu Peter Sadowski Evan Racah Suren Byna C. E. Tull W. Bhimji Prabhat
+	Parameterized neural networks for high-energy physics	2016	Pierre Baldi K. Cranmer Taylor Faucett Peter Sadowski D. Whiteson
+	Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks	2016	Evan Racah Seyoon Ko Peter Sadowski W. Bhimji C. E. Tull Sang‐Yun Oh Pierre Baldi Prabhat
+	Theano: A Python framework for fast computation of mathematical expressions	2016	The Theano Development Team Rami Al‐Rfou Guillaume Alain Amjad Almahairi Christof Angermueller Dzmitry Bahdanau Nicolas Ballas Frédéric Bastien Justin Bayer Anatoly Belikov
+	Learning in the Machine: Random Backpropagation and the Deep Learning Channel	2016	Pierre Baldi Peter Sadowski Zhiqin Lu
+	The Ebb and Flow of Deep Learning: a Theory of Local Learning.	2015	Pierre Baldi Peter Sadowski
+ PDF Chat	Enhanced Higgs Boson to<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msup><mml:mrow><mml:mi>τ</mml:mi></mml:mrow><mml:mrow><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:msup><mml:mrow><mml:mi>τ</mml:mi></mml:mrow><mml:mrow><mml:mo>−</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math>Search with Deep Learning	2015	Pierre Baldi Peter Sadowski D. Whiteson
+	Learning Activation Functions to Improve Deep Neural Networks	2014	Forest Agostinelli Matthew D. Hoffman Peter Sadowski Pierre Baldi
+	Learning Activation Functions to Improve Deep Neural Networks	2014	Forest Agostinelli Matthew D. Hoffman Peter Sadowski Pierre Baldi
+	Searching for exotic particles in high-energy physics with deep learning	2014	Pierre Baldi Peter Sadowski D. Whiteson
+	Enhanced Higgs to $τ^+τ^-$ Searches with Deep Learning.	2014	Pierre Baldi Peter Sadowski D. Whiteson
+	Learning Activation Functions to Improve Deep Neural Networks	2014	Forest Agostinelli Matthew Hoffman Peter Sadowski Pierre Baldi

Common Coauthors

Coauthor	Papers Together
Pierre Baldi	25
Daniel Whiteson	8
Arianna Bunnell	5
Yannik Glaser	5
Julian Collado	3
Lars Hertel	3
C. Corti	3
Jordan Ott	3
Kailee Hung	3
W. Bhimji	3
C. E. Tull	3
Prabhat	3
John Shepherd	3
Dustin Valdez	3
Forest Agostinelli	3
Evan Racah	3
Sang‐Yun Oh	2
M. S. Potgieter	2
Wawan B. IGede	2
Y. Yamazaki	2
Anton Nikolaev	2
Joe Llama	2
Matthew D. Hoffman	2
Moseli Mots’oehli	2
Zhiqin Lu	2
Zhiqin Lu	2
B. Radics	2
Majd Ghrear	2
Xudong Sun	2
N. Nikonov	2
Jennifer L. van Saders	2
V. Bindi	2
P.J. Mous	2
Thomas Wolfgruber	2
Brandon Quach	2
John Shepherd	2
Seyoon Ko	2
John Lynham	2
Brenda Y. Hernandez	2
Zachary R. Claytor	2
Ellis A. Avallone	2
Robert T. McGibbon	1
M. Roth	1
Susanne Still	1
Pierre-Antoine Manzagol	1
Josh Bleecher Snyder	1
Saizheng Zhang	1
Todd B. Seto	1
Zhouhan Lin	1
Christopher T. Kello	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Searching for exotic particles in high-energy physics with deep learning	2014	Pierre Baldi Peter Sadowski D. Whiteson	13
+ PDF Chat	A theory of local learning, the learning channel, and the optimality of backpropagation	2016	Pierre Baldi Peter Sadowski	5
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	5
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	5
+ PDF Chat	Enhanced Higgs Boson to<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msup><mml:mrow><mml:mi>τ</mml:mi></mml:mrow><mml:mrow><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:msup><mml:mrow><mml:mi>τ</mml:mi></mml:mrow><mml:mrow><mml:mo>−</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math>Search with Deep Learning	2015	Pierre Baldi Peter Sadowski D. Whiteson	5
+ PDF Chat	PYTHIA 6.4 physics and manual	2006	Torbjörn Sjöstrand S. Mrenna Peter Skands	5
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Training Very Deep Networks	2015	Rupesh K. Srivastava Klaus Greff Jürgen Schmidhuber	4
+ PDF Chat	Speech recognition with deep recurrent neural networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton	4
+	Pylearn2: a machine learning research library	2013	Ian Goodfellow David Warde-Farley Pascal Lamblin Vincent Dumoulin Mehdi Mirza Razvan Pascanu James Bergstra Frédéric Bastien Yoshua Bengio	3
+	Direct Feedback Alignment Provides Learning in Deep Neural Networks	2016	Arild Nøkland	3
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	3
+	Delphes, a framework for fast simulation of a generic collider experiment	2009	S. Ovyn X. Rouby Vincent Lemaître	3
+	Approximating Likelihood Ratios with Calibrated Discriminative Classifiers	2015	K. Cranmer Juan Pavez Gilles Louppe	3
+ PDF Chat	Jet-images — deep learning edition	2016	Luke de Oliveira M. Kagan Lester Mackey Benjamin Nachman A. Schwartzman	3
+	How Important is Weight Symmetry in Backpropagation?	2015	Qianli Liao Joel Z. Leibo Tomaso Poggio	3
+ PDF Chat	Learning in the machine: The symmetries of the deep learning channel	2017	Pierre Baldi Peter Sadowski Zhiqin Lu	3
+	A guide to convolution arithmetic for deep learning	2016	Vincent Dumoulin Francesco Visin	3
+	Random feedback weights support learning in deep neural networks	2014	Timothy Lillicrap Daniel Cownden Douglas Tweed Colin J. Akerman	3
+	Learning in the machine: Random backpropagation and the deep learning channel	2018	Pierre Baldi Peter Sadowski Zhiqin Lu	3
+	Theano: new features and speed improvements	2012	Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian J. Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio	3
+ PDF Chat	MadGraph 5: going beyond	2011	Johan Alwall M. Herquet Fabio Maltoni Olivier Mattelaer T. Stelzer	3
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	2
+ PDF Chat	Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science	2016	Randal S. Olson Nathan Bartley Ryan J. Urbanowicz Jason H. Moore	2
+	Hamiltonian Monte Carlo acceleration using surrogate functions with random bases	2016	Cheng Zhang Babak Shahbaba Hongkai Zhao	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Identifying boosted objects with N-subjettiness	2011	Jesse Thaler Ken Van Tilburg	2
+	Deep reinforcement learning with double Q-Learning	2016	Hado van Hasselt Arthur Guez David Silver	2
+ PDF Chat	Search for a multi-Higgs-boson cascade in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msup><mml:mrow><mml:mi>W</mml:mi></mml:mrow><mml:mrow><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:msup><mml:mrow><mml:mi>W</mml:mi></mml:mrow><mml:mrow><mml:mo>−</mml:mo></mml:mrow></mml:msup><mml:mi>b</mml:mi><mml:mover><mml:mrow><mml:mi>b</mml:mi></mml:mrow><mml:mrow><mml:mo>¯</mml:mo></mml:mrow></mml:mover></mml:mrow></mml:math>events with the ATLAS detector in<…	2014	G. Aad T. Abajyan B. Abbott J. Abdallah S. Abdel Khalek O. Abdinov R. Aben B. Abi M. Abolins O. S. AbouZeid	2
+ PDF Chat	Search for a Light Sterile Neutrino at Daya Bay	2014	Fengpeng An A. B. Balantekin H. R. Band W. Beriguete M. Bishai S. Blyth Ilya Butorov G. F. Cao Jun Cao Y. L. Chan	2
+ PDF Chat	Complex-valued autoencoders	2012	Pierre Baldi Zhiqin Lu	2
+	Policy Distillation	2016	Andrei A. Rusu Sergio Gómez Colmenarejo Çaǧlar Gülçehre Guillaume Desjardins James Kirkpatrick Razvan Pascanu Volodymyr Mnih Koray Kavukcuoglu Raia Hadsell	2
+	Practical Bayesian Optimization of Machine Learning Algorithms	2012	Jasper Snoek Hugo Larochelle Ryan P. Adams	2
+ PDF Chat	On the boundedness of an iterative procedure for solving a system of linear inequalities	1970	H. D. Block Simon A. Levin	2
+ PDF Chat	Astropy: A community Python package for astronomy	2013	Thomas Robitaille Erik Tollerud P. Greenfield Michael Droettboom Erik M. Bray Tom Aldcroft M. Ryleigh Davis Adam Ginsburg Adrian M. Price-Whelan Wolfgang Kerzendorf	2
+ PDF Chat	Improved measurement of electron antineutrino disappearance at Daya Bay	2013	Fengpeng An Q. An J. Z. Bai A. B. Balantekin H. R. Band W. Beriguete M. Bishai S. Blyth Richard Brown G. F. Cao	2
+ PDF Chat	Observation of Electron-Antineutrino Disappearance at Daya Bay	2012	Fengpeng An J. Z. Bai A. B. Balantekin H. R. Band D. Beavis W. Beriguete M. Bishai S. Blyth Kimberly K. Boddy Richard Brown	2
+ PDF Chat	The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations	2014	Johan Alwall Rikkert Frederix Stefano Frixione Valentin Hirschi Fabio Maltoni Olivier Mattelaer Hua-Sheng Shao T. Stelzer Paolo Torrielli Marco Zaro	2
+ PDF Chat	Boosted objects and jet substructure at the LHC. Report of BOOST2012, held at IFIC Valencia, 23rd–27th of July 2012	2014	A. Altheimer Ayana Arce L. Asquith J. Backus Mayes E. Bergeaas Kuutmann J. Berger D. M. Bjergaard L. Bryngemark A. G. Buckley J. M. Butterworth	2
+ PDF Chat	Centennial History of Hilbert's 16th Problem	2002	Yu. Ilyashenko	2
+ PDF Chat	Heliolatitude and Time Variations of Solar Wind Structure from in situ Measurements and Interplanetary Scintillation Observations	2012	J. M. Sokół M. Bzowski M. Tokumaru K. Fujiki D. J. McComas	2
+	Blocks and Fuel: Frameworks for deep learning	2015	Bart van Merriënboer Dzmitry Bahdanau Vincent Dumoulin Dmitriy Serdyuk David Warde-Farley Jan Chorowski Yoshua Bengio	2
+ PDF Chat	Independent measurement of the neutrino mixing angle<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi>θ</mml:mi></mml:mrow><mml:mrow><mml:mn>13</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>via neutron capture on hydrogen at Daya Bay	2014	Fengpeng An A. B. Balantekin H. R. Band W. Beriguete M. Bishai S. Blyth Ilya Butorov G. F. Cao Jun Cao Y. L. Chan	2
+ PDF Chat	Energy correlation functions for jet substructure	2013	Andrew J. Larkoski Gavin P. Salam Jesse Thaler	2
+ PDF Chat	DELPHES 3: a modular framework for fast simulation of a generic collider experiment	2014	J. de Favereau C. Delaere P. Demin A. Giammanco V. Lemaı̂tre A. Mertens M. Selvaggi	2
+ PDF Chat	A Practical Guide to Wavelet Analysis	1998	Christopher Torrence Gilbert P. Compo	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Mathematical problems for the next century	1998	Steve Smale	2
+ PDF Chat	New Measurement of Antineutrino Oscillation with the Full Detector Configuration at Daya Bay	2015	Fengpeng An A. B. Balantekin H. R. Band M. Bishai S. Blyth Ilya Butorov G. F. Cao Jun Cao W. R. Cen Y. L. Chan	2
+ PDF Chat	On Dedekind’s problem: The number of monotone Boolean functions	1969	Daniel J. Kleitman	2