Andrea Dittadi

Seong Joon Oh

CoRR, February, 2026

Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics.

[BibT_eX]

[DOI]

CoRR, February, 2026

From Words to Amino Acids: Does the Curse of Depth Persist?

[BibT_eX]

[DOI]

Aleena Siji

Kaitlin Maile

Johannes von Oswald

CoRR, February, 2026

Are Object-Centric Representations Better At Compositional Generalization?

[BibT_eX]

[DOI]

Ferdinand Kapl

Maximilian Seitzer

Carsten Marr

CoRR, February, 2026

Logit Distance Bounds Representational Similarity.

[BibT_eX]

[DOI]

Beatrix M. G. Nielsen

CoRR, February, 2026

2025

Foundations of Diffusion Models in General State Spaces: A Self-Contained Introduction.

[BibT_eX]

[DOI]

CoRR, December, 2025

Breaking the Likelihood-Quality Trade-off in Diffusion Models by Merging Pretrained Experts.

[BibT_eX]

[DOI]

CoRR, November, 2025

Minimum-Excess-Work Guidance.

[BibT_eX]

[DOI]

Christopher Kolloff

Tobias Höppe

Emmanouil Angelis

Mathias Jacob Schreiner

Simon Olsson

CoRR, May, 2025

Identifiable Steering via Sparse Autoencoding of Multi-Concept Shifts.

[BibT_eX]

[DOI]

CoRR, February, 2025

When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective.

[BibT_eX]

[DOI]

Beatrix M. G. Nielsen

Emanuele Marconato

Luigi Gresele

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Does Data Scaling Lead to Visual Compositional Generalization?

[BibT_eX]

[DOI]

Arnas Uselis

Seong Joon Oh

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models.

[BibT_eX]

[DOI]

Samuele Papa

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Diffusion-Based Causal Representation Learning.

[BibT_eX]

[DOI]

Francesco Quinzan

Entropy, July, 2024

Generating Multi-Modal and Multi-Attribute Single-Cell Counts with CFGen.

[BibT_eX]

[DOI]

CoRR, 2024

Assessing Neural Network Robustness via Adversarial Pivotal Tuning.

[BibT_eX]

[DOI]

Peter Ebert Christensen

Vésteinn Snæbjarnarson

Beatrix Miranda Ginn Nielsen

Serge J. Belongie

Sagie Benaim

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

DiffEnc: Variational Diffusion with a Learned Encoder.

[BibT_eX]

[DOI]

Anders Christensen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On the Generalization of Learned Structured Representations.

[BibT_eX]

[DOI]

CoRR, 2023

DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability.

[BibT_eX]

[DOI]

Cian Eastwood

Andrei Liviu Nicolicioiu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Diffusion Models for Video Prediction and Infilling.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Inductive Biases for Object-Centric Representations in the Presence of Complex Textures.

[BibT_eX]

[DOI]

Samuele Papa

CoRR, 2022

Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations.

[BibT_eX]

[DOI]

CoRR, 2022

Assaying Out-Of-Distribution Generalization in Transfer Learning.

[BibT_eX]

[DOI]

Florian Wenzel

Carl-Johann Simon-Gabriel

Peter V. Gehler

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalization and Robustness Implications in Object-Centric Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

The Role of Pretrained Representations for the OOD Generalization of RL Agents.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Image Super-Resolution with Deep Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Boxhead: A Dataset for Learning Hierarchical Representations.

[BibT_eX]

[DOI]

CoRR, 2021

Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

On Disentangled Representations Learned from Correlated Data.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

On the Transfer of Disentangled Representations in Realistic Settings.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Full-Body Motion from a Single Head-Mounted Device: Generating SMPL Poses from Partial Observations.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Planning from Pixels in Atari with Learned Symbolic Representations.

[BibT_eX]

[DOI]

Frederik K. Drachmann

Thomas Bolander

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

LAVAE: Disentangling Location and Appearance.

[BibT_eX]

[DOI]

CoRR, 2019

Semi-supervised Variational Autoencoder for Survival Prediction.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Learning to Plan from Raw Data in Grid-based Games.

[BibT_eX]

[DOI]

Thomas Bolander

Proceedings of the GCAI-2018, 2018

2016

Spreading and repetitions in satellite MAC protocols.

[BibT_eX]

[DOI]

Alessandro Biason