Bryn Elesedy

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All published works

Action	Title	Year	Authors
+	U-Clip: On-Average Unbiased Stochastic Gradient Clipping	2023	Bryn Elesedy Marcus Hütter
+ PDF Chat	Authors’ Reply to the Discussion of ‘Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid-19 Epidemic in British Local Authorities’ by Teh et al. in Session 2 of the Royal Statistical Society’s Special Topic Meeting on COVID-19 Transmission: 11 June 2021	2022	Yee Whye Teh Bryn Elesedy Bobby He Michael Hutchinson Sheheryar Zaidi Avishkar Bhoopchand Ulrich Paquet Nenad Tomašev Jonathan M. Read Peter J. Diggle
+ PDF Chat	Efficient Bayesian inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid-19 Epidemic in British Local Authorities	2022	Yee Whye Teh Bryn Elesedy Bobby He Michael Hutchinson Sheheryar Zaidi Avishkar Bhoopchand Ulrich Paquet Nenad Tomašev Jonathan M. Read Peter J. Diggle
+	Provably Strict Generalisation Benefit for Invariance in Kernel Methods	2021	Bryn Elesedy
+	Provably Strict Generalisation Benefit for Invariance in Kernel Methods	2021	Bryn Elesedy
+ PDF Chat	Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UK	2021	Bobby He Sheheryar Zaidi Bryn Elesedy Michael Hutchinson Andrei Paleyes Guy Harling Margaret Johnson Yee Whye Teh
+	Provably Strict Generalisation Benefit for Equivariant Models	2021	Bryn Elesedy Sheheryar Zaidi
+	Provably Strict Generalisation Benefit for Invariance in Kernel Methods	2021	Bryn Elesedy
+	Provably Strict Generalisation Benefit for Equivariant Models	2021	Bryn Elesedy Sheheryar Zaidi
+	Lottery Tickets in Linear Models: An Analysis of Iterative Magnitude Pruning.	2020	Bryn Elesedy Varun Kanade Yee Whye Teh
+	Lottery Tickets in Linear Models: An Analysis of Iterative Magnitude Pruning	2020	Bryn Elesedy Varun Kanade Yee Whye Teh

Common Coauthors

Coauthor	Papers Together
Yee Whye Teh	5
Sheheryar Zaidi	5
Bobby He	3
Michael Hutchinson	3
Peter J. Diggle	2
Varun Kanade	2
Ulrich Paquet	2
Avishkar Bhoopchand	2
Jonathan M. Read	2
Nenad Tomašev	2
Margaret Johnson	1
Andrei Paleyes	1
Guy Harling	1
Marcus Hütter	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe	2020	Seth Flaxman Swapnil Mishra Axel Gandy H. Juliette T. Unwin Thomas A. Mellan Helen Coupland Charles Whittaker Harrison Zhu Tresnia Berah Jeffrey W. Eaton	3
+	Equivariance Through Parameter-Sharing	2017	Siamak Ravanbakhsh Jeff Schneider Barnabás Póczos	2
+	On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups	2018	Risi Kondor Shubhendu Trivedi	2
+ PDF Chat	Foundations of Modern Probability	2021	Olav Kallenberg	2
+	3D G-CNNs for Pulmonary Nodule Detection	2018	Marysia Winkels Taco Cohen	2
+ PDF Chat	Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study	2020	Qifang Bi Yongsheng Wu Shujiang Mei Chenfei Ye Xuan Zou Zhen Zhang Xiaojian Liu Lan Wei Shaun Truelove Tong Zhang	2
+	On the Benefits of Invariance in Neural Networks	2020	Clare Lyle Mark van der Wilk Marta Kwiatkowska Yarin Gal Benjamin Bloem-Reddy	2
+ PDF Chat	Wide neural networks of any depth evolve as linear models under gradient descent <sup>*</sup>	2020	Jaehoon Lee Lechao Xiao Samuel S. Schoenholz Yasaman Bahri Roman Novak Jascha Sohl‐Dickstein Jeffrey Pennington	2
+	Universal approximations of invariant maps by neural networks	2018	Dmitry Yarotsky	2
+	On the Universality of Invariant Networks	2019	Haggai Maron Ethan Fetaya Nimrod Segol Yaron Lipman	2
+ PDF Chat	Robustness and generalization	2011	Huan Xu Shie Mannor	2
+ PDF Chat	A Primer on Reproducing Kernel Hilbert Spaces	2015	Jonathan H. Manton Pierre‐Olivier Amblard	1
+ PDF Chat	Factors that make an infectious disease outbreak controllable	2004	Christophe Fraser Steven Riley Roy M. Anderson Neil M. Ferguson	1
+	Perturbed Identity Matrices Have High Rank: Proof and Applications	2008	Noga Alon	1
+	Ideal spatial adaptation by wavelet shrinkage	1994	David L. Donoho Iain M. Johnstone	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	A Wavelet Tour of Signal Processing : The Sparse Way	2008	Stéphane Mallat Gabriel Peyré	1
+ PDF Chat	<i>Stan</i>: A Probabilistic Programming Language	2017	Bob Carpenter Andrew Gelman Matthew D. Hoffman Daniel C. Lee Ben Goodrich Michael Betancourt Marcus A. Brubaker Jiqiang Guo Peter Li Allen Riddell	1
+	Contagion! The BBC Four Pandemic – The model behind the documentary	2018	Petra Klepac Stephen M. Kissler Julia R. Gog	1
+	Neural Tangent Kernel: Convergence and Generalization in Neural Networks	2018	Arthur Paul Jacot Franck Gabriel Clément Hongler	1
+	High-Dimensional Statistics: A Non-Asymptotic Viewpoint	2019	Martin J. Wainwright	1
+	Surprises in high-dimensional ridgeless least squares interpolation	2022	Trevor Hastie Andrea Montanari Saharon Rosset Ryan J. Tibshirani	1
+	Luck Matters: Understanding Training Dynamics of Deep ReLU Networks	2019	Yuandong Tian Tina Jiang Qucheng Gong Ari S. Morcos	1
+	Stabilizing the Lottery Ticket Hypothesis	2019	Jonathan Frankle Gintare Karolina Dziugaite Daniel M. Roy Michael Carbin	1
+	Deep Sets	2017	Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczos Ruslan Salakhutdinov Alexander J. Smola	1
+	Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks	2018	Juho Lee Yoonho Lee Jungtaek Kim Adam R. Kosiorek Seungjin Choi Yee Whye Teh	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks	2019	Sanjeev Arora Simon S. Du Wei Hu Zhiyuan Li Ruosong Wang	1
+	The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.	2019	Jonathan Frankle Michael Carbin	1
+	The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo	2014	Matthew D. Homan Andrew Gelman	1
+	Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask	2019	Hattie Zhou Janice Lan Rosanne Liu Jason Yosinski	1
+	Proving the Lottery Ticket Hypothesis: Pruning is All You Need	2020	Eran Malach Gilad Yehudai Shai Shalev‐Shwartz Ohad Shamir	1
+	Pruning untrained neural networks: Principles and Analysis	2020	Soufiane Hayou Jean-François Ton Arnaud Doucet Yee Whye Teh	1
+ PDF Chat	Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts	2020	Joel Hellewell Sam Abbott Amy Gimma Nikos I Bosse Christopher I Jarvis Timothy Russell James D. Munday Adam J. Kucharski W. John Edmunds Sebastian Funk	1
+	What is the State of Neural Network Pruning	2020	Davis Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag	1
+ PDF Chat	Countries test tactics in ‘war’ against COVID-19	2020	Jon Cohen Kai Kupferschmidt	1
+	Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces	2019	Akiyoshi Sannai Masaaki Imaizumi Makoto Kawano	1
+ PDF Chat	Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing	2020	Luca Ferretti Chris Wymant Michelle Kendall Lele Zhao Anel Nurtay Lucie Abeler‐Dörner Michael Parker David Bonsall Christophe Fraser	1
+	Fast spread of COVID-19 in Europe and the US suggests the necessity of early, strong and comprehensive interventions	2020	Ruian Ke Steven Sanche Ethan Romero-Severson Nicolas Hengartner	1
+	Self-Isolation Compliance In The COVID-19 Era Influenced By Compensation: Findings From A Recent Survey In Israel	2020	Moran Bodas Kobi Peleg	1
+ PDF Chat	Temporal dynamics in viral shedding and transmissibility of COVID-19	2020	Xi He Eric H. Y. Lau Peng Wu Xilong Deng Jian Wang Xinxin Hao Yiu Chung Lau Jessica Y. Wong Yujuan Guan Xinghua Tan	1
+	Changes in testing rates could mask the novel coronavirus disease (COVID-19) growth rate	2020	Ryosuke Omori Kenji Mizumoto Gerardo Chowell	1
+ PDF Chat	Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study	2020	Benjamin J. Cowling Sheikh Taslim Ali Tiffany Ng Tim K. Tsang Julian C. M. Li Min Whui Fong Qiuyan Liao Mike Yat Wah Kwan So Lun Lee Susan S. Chiu	1
+	Contact Tracing, Testing, and Control of COVID-19—Learning From Taiwan	2020	Robert Steinbrook	1
+ PDF Chat	<i>Ab initio</i> solution of the many-electron Schrödinger equation with deep neural networks	2020	David Pfau James S. Spencer Alexander Matthews W. M. C. Foulkes	1
+ PDF Chat	City size and the spreading of COVID-19 in Brazil	2020	Haroldo V. Ribeiro Andre S. Sunahara Jack Sutton Matjaž Perc Quentin S. Hanley	1
+ PDF Chat	What’s Hidden in a Randomly Weighted Neural Network?	2020	Vivek Ramanujan Mitchell Wortsman Aniruddha Kembhavi Ali Farhadi Mohammad Rastegari	1
+	Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient	2020	Ankit Pensia Shashank Rajput Alliot Nagle Harit Vishwakarma Dimitris Papailiopoulos	1
+	Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study	2020	Adam J. Kucharski Petra Klepac Andrew J. K. Conlan Stephen M. Kissler Maria Tang Hannah Fry Julia R. Gog W. John Edmunds Jon C. Emery Graham F. Medley	1
+ PDF Chat	Contact Tracing during Coronavirus Disease Outbreak, South Korea, 2020	2020	Young-Joon Park Young June Choe Ok Park Shin Young Park Young‐Man Kim Jieun Kim Sanghui Kweon Yeonhee Woo Jin Gwack Seong Sun Kim	1