• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 50 matches

• 2023
• 
  Soledad Villar, David W. Hogg, Weichi Yao, George A. Kevrekidis, Bernhard Schölkopf:
  The passive symmetries of machine learning. CoRR abs/2301.13724 (2023)
• 2022
• 
  Renjie Li, Rebecca J. St George, Xinyi Wang, Katherine Lawler, Edward Hill, Saurabh Garg, Stefan Williams, Samuel D. Relton, David Hogg, Quan Bai, Jane E. Alty:
  Moving towards intelligent telemedicine: Computer vision measurement of human movement. Comput. Biol. Medicine 147: 105776 (2022)
• 
  Ningyuan Teresa Huang, David W. Hogg, Soledad Villar:
  Dimensionality Reduction, Regularization, and Generalization in Overparameterized Regressions. SIAM J. Math. Data Sci. 4(1): 126-152 (2022)
• 
  Mohammed M. Alghamdi, He Wang, Andrew J. Bulpitt, David C. Hogg:
  Talking Head from Speech Audio using a Pre-trained Image Generator. ACM Multimedia 2022: 5228-5236
• 
  Soledad Villar, Weichi Yao, David W. Hogg, Ben Blum-Smith, Bianca Dumitrascu:
  Dimensionless machine learning: Imposing exact units equivariance. CoRR abs/2204.00887 (2022)
• 
  Mohammed M. Alghamdi, He Wang, Andrew J. Bulpitt, David C. Hogg:
  Talking Head from Speech Audio using a Pre-trained Image Generator. CoRR abs/2209.04252 (2022)
• 
  Yunfeng Diao, He Wang, Tianjia Shao, Yong-Liang Yang, Kun Zhou, David Hogg:
  Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack. CoRR abs/2211.11312 (2022)
• 2021
• 
  Leo Pauly, Wisdom C. Agboh, David C. Hogg, Raul Fuentes:
  O₂A: One-Shot Observational Learning with Action Vectors. Frontiers Robotics AI 8: 686368 (2021)
• 
  He Wang, Feixiang He, Zhexi Peng, Tianjia Shao, Yong-Liang Yang, Kun Zhou, David Hogg:
  Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack. CVPR 2021: 14656-14665
• 
  Soledad Villar, David W. Hogg, Kate Storey-Fisher, Weichi Yao, Ben Blum-Smith:
  Scalars are universal: Equivariant machine learning, structured like classical physics. NeurIPS 2021: 28848-28863
• 
  David W. Hogg, Soledad Villar:
  Fitting very flexible models: Linear regression with large numbers of parameters. CoRR abs/2101.07256 (2021)
• 
  He Wang, Feixiang He, Zhexi Peng, Tianjia Shao, Yong-Liang Yang, Kun Zhou, David Hogg:
  Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack. CoRR abs/2103.05347 (2021)
• 
  Soledad Villar, David W. Hogg, Kate Storey-Fisher, Weichi Yao, Ben Blum-Smith:
  Scalars are universal: Gauge-equivariant machine learning, structured like classical physics. CoRR abs/2106.06610 (2021)
• 
  Weichi Yao, Kate Storey-Fisher, David W. Hogg, Soledad Villar:
  A simple equivariant machine learning method for dynamics based on scalars. CoRR abs/2110.03761 (2021)
• 2020
• 
  Daniel Hey, Simon Murphy, Daniel Foreman-Mackey, Timothy Bedding, Benjamin Pope, David W. Hogg:
  Maelstrom: A Python package for identifying companions to pulsating stars from their light travel time variations. J. Open Source Softw. 5(51): 2125 (2020)
• 
  Ningyuan Huang, David W. Hogg, Soledad Villar:
  Dimensionality reduction, regularization, and generalization in overparameterized regressions. CoRR abs/2011.11477 (2020)
• 2019
• 
  Daniel Foreman-Mackey, Will Farr, Manodeep Sinha, Anne M. Archibald, David W. Hogg, Jeremy Sanders, Joe Zuntz, Peter H. Williams, Andrew R. J. Nelson, Miguel de Val-Borro, Tobias Erhardt, Ilya Pashchenko, Oriol Abril Pla:
  emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC. J. Open Source Softw. 4(43): 1864 (2019)
• 
  He Wang, Feixiang He, Zhexi Peng, Yongliang Yang, Tianjia Shao, Kun Zhou, David Hogg:
  SMART: Skeletal Motion Action Recognition aTtack. CoRR abs/1911.07107 (2019)
• 2018
• 
  Leo Pauly, Wisdom C. Agboh, Mohamed Abdellatif, David C. Hogg, Raul Fuentes:
  One-Shot Observation Learning. CoRR abs/1810.07483 (2018)
• 2017
• 
  Mark Mikkelsen, Peter B. Barker, Pallab K. Bhattacharyya, Maiken K. Brix, Pieter F. Buur, Kim M. Cecil, Kimberly L. Chan, David Y.-T. Chen, Alexander R. Craven, Koen Cuypers, Michael Dacko, Niall W. Duncan, Ulrike Dydak, David A. Edmondson, Gabriele Ende, Lars Ersland, Fei Gao, Ian Greenhouse, Ashley D. Harris, Naying He, Stefanie Heba, Nigel Hoggard, Tun-Wei Hsu, Jacobus F. A. Jansen, Alayar Kangarlu, Thomas Lange, R. Marc Lebel, Yan Li, Chien-Yuan Lin, Jy-Kang Liou, Jiing-Feng Lirng, Feng Liu, Ruoyun Ma, Celine Maes, Marta Moreno-Ortega, Scott O. Murray, Sean Noah, Ralph Noeske, Michael D. Noseworthy, Georg Oeltzschner, James J. Prisciandaro, Nicolaas A. J. Puts, Timothy P. L. Roberts, Markus Sack, Napapon Sailasuta, Muhammad G. Saleh, Michael-Paul Schallmo, Nicholas Simard, Stephan P. Swinnen, Martin Tegenthoff, Peter Truong, Guangbin Wang, Iain D. Wilkinson, Hans-Jörg Wittsack, Hongmin Xu, Fuhua Yan, Chencheng Zhang, Vadim Zipunnikov, Helge J. Zöllner, Richard A. E. Edden:
  Big GABA: Edited MR spectroscopy at 24 research sites. NeuroImage 159: 32-45 (2017)
• 
  Nick Hawes, Christopher Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy L. Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faulhammer, Michael Zillich, Markus Vincze, Eris Chinellato, Muhannad Al-Omari, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide:
  The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics Autom. Mag. 24(3): 146-156 (2017)
• 
  Daniela Huppenkothen, Anthony Arendt, David W. Hogg, Karthik Ram, Jake VanderPlas, Ariel Rokem:
  Hack Weeks as a model for Data Science Education and Collaboration. CoRR abs/1711.00028 (2017)
• 2016
• 
  Sivaram Ambikasaran, Daniel Foreman-Mackey, Leslie Greengard, David W. Hogg, Michael O'Neil:
  Fast Direct Methods for Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 252-265 (2016)
• 
  Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters:
  Modeling confounding by half-sibling regression. Proc. Natl. Acad. Sci. USA 113(27): 7391-7398 (2016)
• 
  Nick Hawes, Chris Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy L. Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faulhammer, Michael Zillich, Markus Vincze, Muhannad Al-Omari, Eris Chinellato, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomás Krajník, João Machado Santos, Tom Duckett, Marc Hanheide:
  The STRANDS Project: Long-Term Autonomy in Everyday Environments. CoRR abs/1604.04384 (2016)
• 2015
• 
  Laura Irina Rusu, Kelly L. Wyres, Matthias Reumann, Carlos Queiroz, Alexe Bojovschi, Tom Conway, Saurabh Kumar Garg, David J. Edwards, Geoff Hogg, Kathryn E. Holt:
  A platform for leveraging next generation sequencing for routine microbiology and public health use. Health Inf. Sci. Syst. 3(1) (2015)
• 
  Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters:
  Removing systematic errors for exoplanet search via latent causes. ICML 2015: 2218-2226
• 
  Matthew Murray, Jayakrishnan Chandrappan, Suraya Ahmad Kamil, Tarun Kakkar, Peter Petrik, Emil Agócs, Zsolt Zolnai, Richard A. Hogg, David Childs, Thomas Krauss, Ian H. White, Richard V. Penty, Paul Steenson, Animesh Jha, Gin Jose:
  Platform manufacturing technique for next generation integrated photonic components. ICTON 2015: 1-2
• 
  Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters:
  Removing systematic errors for exoplanet search via latent causes. CoRR abs/1505.03036 (2015)
• 2014
• 
  Alyssa Goodman, Alberto Pepe, Alexander W. Blocker, Christine L. Borgman, Kyle Cranmer, Mercè Crosas, Rosanne Di Stefano, Yolanda Gil, Paul Groth, Margaret L. Hedstrom, David W. Hogg, Vinay Kashyap, Ashish Mahabal, Aneta Siemiginowska, Aleksandra B. Slavkovic:
  Ten Simple Rules for the Care and Feeding of Scientific Data. PLoS Comput. Biol. 10(4) (2014)

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