Michael King

14 papers A* 1C 1Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
"I Forgot About You": Exploring Multi-Label Unlearning (MLU) for Responsible Facial Recognition Systems.
ECML/PKDD (5)
Prommy Sultana Hossain, Emanuela Marasco, Jessica Lin, Michael King
2025 C conf
An SVD-like Decomposition of Functions with Finite 2-induced Norm.
ACC
Brian Charles Brown, Michael King, Sean Warnick, Enoch Yeung, David Grimsman
2025 J jnl
Gramians for a New Class of Nonlinear Control Systems Using Koopman and a Novel Generalized SVD.
CoRR
Brian Charles Brown, Michael King
2024 J jnl
An SVD-like Decomposition of Bounded-Input Bounded-Output Functions.
CoRR
Brian Charles Brown, Michael King, Sean Warnick, Enoch Yeung, David Grimsman
2024 A* conf
Learning from One Continuous Video Stream.
CVPR
João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2024 J jnl
Scaling 4D Representations.
CoRR
João Carreira, Dilara Gokay, Michael King, Chuhan Zhang, Ignacio Rocco, Aravindh Mahendran, Thomas Keck, Joseph Heyward, Skanda Koppula, Etienne Pot, Goker Erdogan, Yana Hasson, Yi Yang, Klaus Greff, Guillaume Le Moing, Sjoerd van Steenkiste, Daniel Zoran, Drew A. Hudson, Pedro Vélez, Luisa F. Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer J. Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman
2023 J jnl
Learning from One Continuous Video Stream.
CoRR
João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2021 — conf
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents.
NeurIPS Datasets and Benchmarks
Jane Wang, Michael King, Nicolas Porcel, Zeb Kurth-Nelson, Tina Zhu, Charles Deck, Peter Choy, Mary Cassin, Malcolm Reynolds, H. Francis Song, Gavin Buttimore, David P. Reichert, Neil C. Rabinowitz, Loic Matthey, Demis Hassabis, Alexander Lerchner, Matt M. Botvinick
2021 J jnl
Alchemy: A structured task distribution for meta-reinforcement learning.
CoRR
Jane X. Wang, Michael King, Nicolas Porcel, Zeb Kurth-Nelson, Tina Zhu, Charlie Deck, Peter Choy, Mary Cassin, Malcolm Reynolds, H. Francis Song, Gavin Buttimore, David P. Reichert, Neil C. Rabinowitz, Loic Matthey, Demis Hassabis, Alexander Lerchner, Matthew M. Botvinick
2019 — conf
Exploring Automatic Face Recognition on Match Performance and Gender Bias for Children.
WACV Workshops
Nisha Srinivas, Matthew Hivner, Kevin Marshall Gay, Harleen Atwal, Michael King, Karl Ricanek
2019 — conf
Face Recognition Algorithm Bias: Performance Differences on Images of Children and Adults.
CVPR Workshops
Nisha Srinivas, Karl Ricanek, Dana Michalski, David S. Bolme, Michael King
2019 J jnl
Inverting magnetotelluric responses in a three-dimensional earth using fast forward approximations based on artificial neural networks.
Comput. Geosci.
Dennis Conway, Bradley Alexander, Michael King, Graham S. Heinson, Yang Kee
2015 — conf
Optimization of prosthetic hand manufacturing.
GHTC
Michael King, Brienna Phillips, Marc Shively, Venkatesh Raman, Aaron Fleishman, Sarah C. Ritter, Khanjan Mehta
2014 J jnl
The handyman's brain: A neuroimaging meta-analysis describing the similarities and differences between grip type and pattern in humans.
NeuroImage
Michael King, Laurie H. G. Rauch, Dan J. Stein, Samantha J. Brooks