Andrea Dittadi

According to our database, Andrea Dittadi authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Diffusion-Based Causal Representation Learning.

Amir Mohammad Karimi-Mamaghan, Andrea Dittadi, Stefan Bauer, Karl Henrik Johansson, Francesco Quinzan

Entropy, July, 2024

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

Amir Mohammad Karimi-Mamaghan, Samuele Papa, Karl Henrik Johansson, Stefan Bauer, Andrea Dittadi

CoRR, 2024

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

Alessandro Palma, Till Richter, Hanyi Zhang, Manuel Lubetzki, Alexander Tong, Andrea Dittadi, Fabian J. Theis

CoRR, 2024

Assessing Neural Network Robustness via Adversarial Pivotal Tuning.

Peter Ebert Christensen, Vésteinn Snæbjarnarson, Andrea Dittadi, 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.

Beatrix Miranda Ginn Nielsen, Anders Christensen, Andrea Dittadi, Ole Winther

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On the Generalization of Learned Structured Representations.

Andrea Dittadi

CoRR, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Diffusion Models for Video Prediction and Infilling.

Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi

Trans. Mach. Learn. Res., 2022

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

Samuele Papa, Ole Winther, Andrea Dittadi

CoRR, 2022

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

Simon Bing, Andrea Dittadi, Stefan Bauer, Patrick Schwab

CoRR, 2022

Assaying Out-Of-Distribution Generalization in Transfer Learning.

Florian Wenzel, Andrea Dittadi, Peter V. Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello

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.

Andrea Dittadi, Samuele S. Papa, Michele De Vita, Bernhard Schölkopf, Ole Winther, Francesco Locatello

Proceedings of the International Conference on Machine Learning, 2022

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

Frederik Träuble, Andrea Dittadi, Manuel Wuthrich, Felix Widmaier, Peter Vincent Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer

Proceedings of the Tenth International Conference on Learning Representations, 2022

Image Super-Resolution with Deep Variational Autoencoders.

Darius Chira, Ilian Haralampiev, Ole Winther, Andrea Dittadi, Valentin Liévin

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Boxhead: A Dataset for Learning Hierarchical Representations.

Yukun Chen, Frederik Träuble, Andrea Dittadi, Stefan Bauer, Bernhard Schölkopf

CoRR, 2021

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

Andrea Dittadi, Frederik Träuble, Manuel Wüthrich, Felix Widmaier, Peter V. Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer

CoRR, 2021

On Disentangled Representations Learned from Correlated Data.

Frederik Träuble, Elliot Creager, Niki Kilbertus, Francesco Locatello, Andrea Dittadi, Anirudh Goyal, Bernhard Schölkopf, Stefan Bauer

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

On the Transfer of Disentangled Representations in Realistic Settings.

Andrea Dittadi, Frederik Träuble, Francesco Locatello, Manuel Wuthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, Bernhard Schölkopf

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.

Andrea Dittadi, Sebastian Dziadzio, Darren Cosker, Ben Lundell, Thomas J. Cashman, Jamie Shotton

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

Planning from Pixels in Atari with Learned Symbolic Representations.

Andrea Dittadi, 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.

Valentin Liévin, Andrea Dittadi, Anders Christensen, Ole Winther

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.

Andrea Dittadi, Ole Winther

CoRR, 2019

Semi-supervised Variational Autoencoder for Survival Prediction.

Sveinn Pálsson, Stefano Cerri, Andrea Dittadi, Koen Van Leemput

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

2018

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

Andrea Dittadi, Thomas Bolander, Ole Winther

Proceedings of the GCAI-2018, 2018

2016

Spreading and repetitions in satellite MAC protocols.

Alessandro Biason, Andrea Dittadi, Michele Zorzi

Proceedings of the 2016 IEEE International Conference on Communications, 2016