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Cian Eastwood
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2020 – today
- 2023
- [c7]Cian Eastwood, Andrei Liviu Nicolicioiu, Julius von Kügelgen, Armin Kekic, Frederik Träuble, Andrea Dittadi, Bernhard Schölkopf:
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability. ICLR 2023 - [c6]Cian Eastwood, Shashank Singh, Andrei Liviu Nicolicioiu, Marin Vlastelica Pogancic, Julius von Kügelgen, Bernhard Schölkopf:
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features. NeurIPS 2023 - [i8]Cian Eastwood, Shashank Singh, Andrei Liviu Nicolicioiu, Marin Vlastelica, Julius von Kügelgen, Bernhard Schölkopf:
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features. CoRR abs/2307.09933 (2023) - [i7]Cian Eastwood, Julius von Kügelgen, Linus Ericsson, Diane Bouchacourt, Pascal Vincent, Bernhard Schölkopf, Mark Ibrahim:
Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations. CoRR abs/2311.08815 (2023) - [i6]Michael Tschannen, Cian Eastwood, Fabian Mentzer:
GIVT: Generative Infinite-Vocabulary Transformers. CoRR abs/2312.02116 (2023) - 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 - [c4]Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf:
Probable Domain Generalization via Quantile Risk Minimization. NeurIPS 2022 - [i5]Cian Eastwood, Nanbo Li, Christopher K. I. Williams:
Align-Deform-Subtract: An Interventional Framework for Explaining Object Differences. CoRR abs/2203.04694 (2022) - [i4]Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf:
Probable Domain Generalization via Quantile Risk Minimization. CoRR abs/2207.09944 (2022) - [i3]Cian Eastwood, Andrei Liviu Nicolicioiu, Julius von Kügelgen, Armin Kekic, Frederik Träuble, Andrea Dittadi, Bernhard Schölkopf:
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability. CoRR abs/2210.00364 (2022) - 2021
- [c3]Cian Eastwood, Ian Mason, Christopher K. I. Williams:
Unit-level surprise in neural networks. ICBINB@NeurIPS 2021: 33-40 - [i2]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) - [i1]Nanbo Li, Cian Eastwood, Robert B. Fisher:
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views. CoRR abs/2111.07117 (2021) - 2020
- [c2]Nanbo Li, Cian Eastwood, Robert B. Fisher:
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views. NeurIPS 2020
2010 – 2019
- 2018
- [c1]Cian Eastwood, Christopher K. I. Williams:
A Framework for the Quantitative Evaluation of Disentangled Representations. ICLR (Poster) 2018
Coauthor Index
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