Lawrence Wang

According to our database, Lawrence Wang authored at least 10 papers between 2013 and 2024.

Collaborative distances:

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

2024

Can Stability be Detrimental? Better Generalization through Gradient Descent Instabilities.

Lawrence Wang, Stephen J. Roberts

CoRR, 2024

Fast Weakness Identification for Adaptive Feedback.

Raymond Morland, Lawrence Wang, Fuhua Oscar Lin

Proceedings of the Generative Intelligence and Intelligent Tutoring Systems, 2024

2023

The instabilities of large learning rate training: a loss landscape view.

Lawrence Wang, Stephen Roberts

CoRR, 2023

SANE: The phases of gradient descent through Sharpness Adjusted Number of Effective parameters.

Lawrence Wang, Stephen J. Roberts

CoRR, 2023

2022

The HumBug Challenge: ComParE 2022.

Ivan Kiskin, Lawrence Wang, Marianne Sinka, Adam D. Cobb, Benjamin Gutteridge, Davide Zilli, Alexandru Constantin, Andreas Pentaliotis, Waqas Rafique, Rinita Dam, Theodoros Marinos, Yunpeng Li, Gerard Killeen, Dickson Msaky, Emmanuel Kaindoa, Kathy Willis, Steve J. Roberts

Dataset, April, 2022

2021

HumBugDB: a large-scale acoustic mosquito dataset.

Ivan Kiskin, Lawrence Wang, Marianne Sinka, Adam D. Cobb, Benjamin Gutteridge, Davide Zilli, Waqas Rafique, Rinita Dam, Theodoros Marinos, Yunpeng Li, Gerard Killeen, Dickson Msaky, Emmanuel Kaindoa, Kathy Willis, Steve J. Roberts

Dataset, June, 2021

HumBugDB: A Large-scale Acoustic Mosquito Dataset.

Ivan Kiskin, Marianne Sinka, Adam D. Cobb, Waqas Rafique, Lawrence Wang, Davide Zilli, Benjamin Gutteridge, Rinita Dam, Theodoros Marinos, Yunpeng Li, Dickson Msaky, Emmanuel Kaindoa, Gerard Killeen, Eva Herreros-Moya, Kathy Willis, Stephen J. Roberts

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset.

Ivan Kiskin, Adam D. Cobb, Lawrence Wang, Stephen Roberts

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2016

Six Degrees of Francis Bacon: A Statistical Method for Reconstructing Large Historical Social Networks.

Christopher N. Warren, Daniel Shore, Jessica Otis, Lawrence Wang, Mike Finegold, Cosma Rohilla Shalizi

Digit. Humanit. Q., 2016

2013

Six Degrees of Francis Bacon.

Michael Andrew Finegold, Christopher N. Warren, Cosma Rohilla Shalizi, Daniel Shore, Lawrence Wang

Proceedings of the 8th Annual International Conference of the Alliance of Digital Humanities Organizations, 2013