Cian Eastwood

20 papers A* 6Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Elucidating the Design Space of Flow Matching for Cellular Microscopy.
CoRR
Charles Jones, Emmanuel Noutahi, Jason S. Hartford, Cian Eastwood
2025 A* conf
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models.
ICML
Konstantin Donhauser, Kristina Ulicna, Gemma E. Moran, Aditya Ravuri, Kian Kenyon-Dean, Cian Eastwood, Jason S. Hartford
2025 J jnl
TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction.
CoRR
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, Berton Earnshaw, Emmanuel Noutahi, Alisandra Kaye Denton
2024 — conf
GIVT: Generative Infinite-Vocabulary Transformers.
ECCV (57)
Michael Tschannen, Cian Eastwood, Fabian Mentzer
2024 J jnl
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models.
CoRR
Konstantin Donhauser, Kristina Ulicna, Gemma E. Moran, Aditya Ravuri, Kian Kenyon-Dean, Cian Eastwood, Jason S. Hartford
2023 A* conf
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability.
ICLR
Cian Eastwood, Andrei Liviu Nicolicioiu, Julius von Kügelgen, Armin Kekic, Frederik Träuble, Andrea Dittadi, Bernhard Schölkopf
2023 J jnl
GIVT: Generative Infinite-Vocabulary Transformers.
CoRR
Michael Tschannen, Cian Eastwood, Fabian Mentzer
2023 J jnl
Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations.
CoRR
Cian Eastwood, Julius von Kügelgen, Linus Ericsson, Diane Bouchacourt, Pascal Vincent, Bernhard Schölkopf, Mark Ibrahim
2023 A* conf
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features.
NeurIPS
Cian Eastwood, Shashank Singh, Andrei Liviu Nicolicioiu, Marin Vlastelica Pogancic, Julius von Kügelgen, Bernhard Schölkopf
2023 J jnl
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features.
CoRR
Cian Eastwood, Shashank Singh, Andrei Liviu Nicolicioiu, Marin Vlastelica, Julius von Kügelgen, Bernhard Schölkopf
2022 J jnl
Align-Deform-Subtract: An Interventional Framework for Explaining Object Differences.
CoRR
Cian Eastwood, Nanbo Li, Christopher K. I. Williams
2022 J jnl
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability.
CoRR
Cian Eastwood, Andrei Liviu Nicolicioiu, Julius von Kügelgen, Armin Kekic, Frederik Träuble, Andrea Dittadi, Bernhard Schölkopf
2022 A* conf
Probable Domain Generalization via Quantile Risk Minimization.
NeurIPS
Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf
2022 J jnl
Probable Domain Generalization via Quantile Risk Minimization.
CoRR
Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf
2022 A* conf
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration.
ICLR
Cian Eastwood, Ian Mason, Christopher K. I. Williams, Bernhard Schölkopf
2021 J jnl
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views.
CoRR
Nanbo Li, Cian Eastwood, Robert B. Fisher
2021 J jnl
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration.
CoRR
Cian Eastwood, Ian Mason, Christopher K. I. Williams, Bernhard Schölkopf
2021 — conf
Unit-level surprise in neural networks.
ICBINB@NeurIPS
Cian Eastwood, Ian Mason, Christopher K. I. Williams
2020 A* conf
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views.
NeurIPS
Nanbo Li, Cian Eastwood, Robert B. Fisher
2018 — conf
A Framework for the Quantitative Evaluation of Disentangled Representations.
ICLR (Poster)
Cian Eastwood, Christopher K. I. Williams