Gavin Brown

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 22

Top Topics

Neural Architectures

Affine Transform

Bandwidth Usage

Top Venues

Publications

Konstantinos Iordanou, Timothy Atkinson, Emre Ozer, Jedrzej Kufel, John Biggs, Gavin Brown, Mikel Luján
Tiny Classifier Circuits: Evolving Accelerators for Tabular Data. CoRR (2023)
Maryam Aliakbarpour, Konstantina Bairaktari, Gavin Brown, Adam Smith, Jonathan R. Ullman
Metalearning with Very Few Samples Per Task. CoRR (2023)
Sara Summerton, Ann Tivey, Rohan Shotton, Gavin Brown, Oliver C. Redfern, Rachel Oakley, John Radford, David C. Wong
Outlier detection of vital sign trajectories from COVID-19 patients. EMBC (2023)
Gavin Brown, Samuel Hopkins, Adam Smith
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions. COLT (2023)
Gavin Brown, Samuel B. Hopkins, Adam D. Smith
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions. CoRR (2023)
Sara Summerton, Ann Tivey, Rohan Shotton, Gavin Brown, Oliver C. Redfern, Rachel Oakley, John Radford, David C. Wong
Outlier detection of vital sign trajectories from COVID-19 patients. CoRR (2022)
Gavin Brown, Shlomi Hod, Iden Kalemaj
Performative Prediction in a Stateful World. AISTATS (2022)
Gavin Brown, Alexander M. Kasprzyk, Lei Zhu
Gorenstein Formats, Canonical and Calabi-Yau Threefolds. Exp. Math. 31 (1) (2022)
Gavin Brown, Mark Bun, Adam D. Smith
Strong Memory Lower Bounds for Learning Natural Models. CoRR (2022)
Edoardo Manino, Danilo Carvalho, Yi Dong, Julia Rozanova, Xidan Song, Mustafa A. Mustafa, André Freitas, Gavin Brown, Mikel Lujan, Xiaowei Huang, Lucas C. Cordeiro
EnnCore: End-to-End Conceptual Guarding of Neural Architectures. SafeAI@AAAI (2022)
Gavin Brown, Mark Bun, Adam D. Smith
Strong Memory Lower Bounds for Learning Natural Models. COLT (2022)
Gavin Brown, Marco Gaboardi, Adam D. Smith, Jonathan R. Ullman, Lydia Zakynthinou
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation. CoRR (2021)
Gavin Brown, Mark Bun, Vitaly Feldman, Adam D. Smith, Kunal Talwar
When is memorization of irrelevant training data necessary for high-accuracy learning? STOC (2021)
Gavin Brown, Marco Gaboardi, Adam D. Smith, Jonathan R. Ullman, Lydia Zakynthinou
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation. NeurIPS (2021)
Xiao Zhou, Xiao Wang, Gavin Brown, Chengchen Wang, Sang Peter Chin
Mixed Spatio-Temporal Neural Networks on Real-time Prediction of Crimes. ICMLA (2021)
Gavin Brown, Mark Bun, Vitaly Feldman, Adam D. Smith, Kunal Talwar
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? CoRR (2020)
Georgiana Neculae, Gavin Brown
Ensembles of Spiking Neural Networks. CoRR (2020)
Roger Carney, Gavin Brown, Jothan Frakes
Registry Fee Extension for the Extensible Provisioning Protocol (EPP). RFC 8748 (2020)
Gavin Brown, Shlomi Hod, Iden Kalemaj
Performative Prediction in a Stateful World. CoRR (2020)
James Gould, Wil Tan, Gavin Brown
Launch Phase Mapping for the Extensible Provisioning Protocol (EPP). RFC 8334 (2018)
Sang Peter Chin, Jonathan Cohen, Alison Albin, Mykola Hayvanovych, Elizabeth Reilly, Gavin Brown, Jacob Harer
A Mathematical Analysis of Network Controllability Through Driver Nodes. IEEE Trans. Comput. Soc. Syst. 4 (2) (2017)
Gavin Brown, Alexander M. Kasprzyk
Four-Dimensional Projective Orbifold Hypersurfaces. Exp. Math. 25 (2) (2016)
Gavin Brown, Alexander M. Kasprzyk
Small polygons and toric codes. J. Symb. Comput. 51 (2013)
Gavin Brown, Alexander M. Kasprzyk
Small polygons and toric codes CoRR (2012)
Gavin Brown, Alexander M. Kasprzyk
Seven new champion linear codes CoRR (2012)
Angela J. Rylands, Rainer Hinz, Matthew Jones, Elizabeth Barnett, Michael E. Fairclough, Steven Nolan, Gavin Brown, Adam McMahon, Peter S. Talbot
Serotonergic abnormalities in males with extreme levels of impulsive aggression, investigated using 11C-DASB and 11C-MDL100907 PET. NeuroImage 52 (Supplement-1) (2010)
Jonathan Edward Barker, Richard John Green, Paul Thomas, Gavin Brown, David Salmond
Information Fusion based decision support via Hidden Markov Models and time series anomaly detection. FUSION (2009)
Gavin Brown
A Database of Polarized K3 Surfaces. Exp. Math. 16 (1) (2007)
Gavin Brown
Datagraphs in Algebraic Geometry and K3 Surfaces. SNSC (2001)