A Framework for the Quantitative Evaluation of Disentangled Representations. - Cian Eastwood; Christopher K. I. Williams (ICLR (Poster), 2018)

Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views. - Nanbo Li; Cian Eastwood; Robert B. Fisher (NeurIPS, 2020)

Unit-level surprise in neural networks. - Cian Eastwood; Ian Mason; Christopher K. I. Williams (ICBINB@NeurIPS, 2021)

Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration. - Cian Eastwood; Ian Mason; Christopher K. I. Williams; Bernhard Schölkopf (ICLR, 2022)

Probable Domain Generalization via Quantile Risk Minimization. - Cian Eastwood; Alexander Robey; Shashank Singh 011; Julius von Kügelgen; Hamed Hassani; George J. Pappas; Bernhard Schölkopf (NeurIPS, 2022)

Align-Deform-Subtract: An Interventional Framework for Explaining Object Differences. - Cian Eastwood; Nanbo Li; Christopher K. I. Williams (CoRR, 2022)

DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability. - Cian Eastwood; Andrei Liviu Nicolicioiu; Julius von Kügelgen; Armin Kekic; Frederik Träuble; Andrea Dittadi; Bernhard Schölkopf (ICLR, 2023)

Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features. - Cian Eastwood; Shashank Singh 011; Andrei Liviu Nicolicioiu; Marin Vlastelica Pogancic; Julius von Kügelgen; Bernhard Schölkopf (NeurIPS, 2023)

Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations. - Cian Eastwood; Julius von Kügelgen; Linus Ericsson; Diane Bouchacourt; Pascal Vincent; Bernhard Schölkopf; Mark Ibrahim (CoRR, 2023)

GIVT: Generative Infinite-Vocabulary Transformers. - Michael Tschannen; Cian Eastwood; Fabian Mentzer (ECCV (57), 2024)

Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models. - Konstantin Donhauser; Kristina Ulicna; Gemma E. Moran; Aditya Ravuri; Kian Kenyon-Dean; Cian Eastwood; Jason S. Hartford (CoRR, 2024)

TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction. - Frederik Wenkel; Wilson Tu; Cassandra Masschelein; Hamed Shirzad; Cian Eastwood; Shawn Whitfield; Ihab Bendidi; Craig Russell; Liam Hodgson; Yassir El Mesbahi; Jiarui Ding; Marta M. Fay; et al. (CoRR, 2025)