Cian Eastwood

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Complementary Features

Risk Minimization

Bayesian Classifier

Top Venues

Publications

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)
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)
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 (2023)
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 (2023)
Michael Tschannen, Cian Eastwood, Fabian Mentzer
GIVT: Generative Infinite-Vocabulary Transformers. CoRR (2023)
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)
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 (2022)
Cian Eastwood, Ian Mason, Christopher K. I. Williams, Bernhard Schölkopf
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration. ICLR (2022)
Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf
Probable Domain Generalization via Quantile Risk Minimization. CoRR (2022)
Cian Eastwood, Nanbo Li, Christopher K. I. Williams
Align-Deform-Subtract: An Interventional Framework for Explaining Object Differences. CoRR (2022)
Nanbo Li, Cian Eastwood, Robert B. Fisher
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views. CoRR (2021)
Cian Eastwood, Ian Mason, Christopher K. I. Williams
Unit-level surprise in neural networks. ICBINB@NeurIPS (2021)
Cian Eastwood, Ian Mason, Christopher K. I. Williams, Bernhard Schölkopf
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration. CoRR (2021)
Nanbo Li, Cian Eastwood, Robert B. Fisher
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views. NeurIPS (2020)
Cian Eastwood, Christopher K. I. Williams
A Framework for the Quantitative Evaluation of Disentangled Representations. ICLR (Poster) (2018)