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Journal Articles
- 2022
[j3]Ian Mason, Sebastian Starke, Taku Komura:
Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases. Proc. ACM Comput. Graph. Interact. Tech. 5(1): 6:1-6:18 (2022)- [j2]Sebastian Starke
, Ian Mason, Taku Komura:
DeepPhase: periodic autoencoders for learning motion phase manifolds. ACM Trans. Graph. 41(4): 136:1-136:13 (2022) - 2018
- [j1]Ian Mason, Sebastian Starke, He Zhang, Hakan Bilen, Taku Komura:
Few-shot Learning of Homogeneous Human Locomotion Styles. Comput. Graph. Forum 37(7): 143-153 (2018)
Conference and Workshop Papers
- 2022
- [c5]Cian Eastwood, Ian Mason, Christopher K. I. Williams, Bernhard Schölkopf:
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration. ICLR 2022 - 2021
- [c4]Cian Eastwood, Ian Mason, Christopher K. I. Williams:
Unit-level surprise in neural networks. ICBINB@NeurIPS 2021: 33-40 - 2014
- [c3]Jeroen Massar, Ian Mason, Linda Briesemeister, Vinod Yegneswaran:
JumpBox - A Seamless Browser Proxy for Tor Pluggable Transports. SecureComm (1) 2014: 563-581 - [c2]Christopher Connolly, Patrick Lincoln, Ian Mason, Vinod Yegneswaran:
TRIST: Circumventing Censorship with Transcoding-Resistant Image Steganography. FOCI 2014 - 2012
- [c1]Patrick Lincoln, Ian Mason, Phillip A. Porras, Vinod Yegneswaran, Zachary Weinberg, Jeroen Massar, William Allen Simpson, Paul Vixie, Dan Boneh:
Bootstrapping Communications into an Anti-Censorship System. FOCI 2012
Editorship
- 2023
- [e2]Javier Antorán, Arno Blaas, Kelly Buchanan, Fan Feng, Vincent Fortuin, Sahra Ghalebikesabi, Andreas Kriegler, Ian Mason, David Rohde, Francisco J. R. Ruiz, Tobias Uelwer, Yubin Xie, Rui Yang:
Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 16 December 2023, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 239, PMLR 2023 [contents] - 2022
- [e1]Javier Antorán, Arno Blaas, Fan Feng, Sahra Ghalebikesabi, Ian Mason, Melanie F. Pradier, David Rohde, Francisco J. R. Ruiz, Aaron Schein:
Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, 03 December 2022, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 187, PMLR 2022 [contents]
Informal and Other Publications
- 2024
- [i5]Avi Cooper, Keizo Kato, Chia-Hsien Shih, Hiroaki Yamane, Kasper Vinken, Kentaro Takemoto, Taro Sunagawa, Hao-Wei Yeh, Jin Yamanaka, Ian Mason, Xavier Boix:
Rethinking VLMs and LLMs for Image Classification. CoRR abs/2410.14690 (2024) - 2023
- [i4]Anirban Sarkar, Matthew Groth, Ian Mason, Tomotake Sasaki, Xavier Boix:
Deephys: Deep Electrophysiology, Debugging Neural Networks under Distribution Shifts. CoRR abs/2303.11912 (2023) - [i3]Ian Mason, Anirban Sarkar, Tomotake Sasaki, Xavier Boix:
Modularity Trumps Invariance for Compositional Robustness. CoRR abs/2306.09005 (2023) - 2022
- [i2]Ian Mason, Sebastian Starke, Taku Komura:
Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases. CoRR abs/2201.04439 (2022) - 2021
- [i1]Cian Eastwood, Ian Mason, Christopher K. I. Williams, Bernhard Schölkopf:
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration. CoRR abs/2107.05446 (2021)
Coauthor Index
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