Andrea Dittadi

发表

Inductive Biases for Object-Centric Representations of Complex Textures

O. Winther, Samuele Papa, Andrea Dittadi, 2022 .

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

O. Winther, Samuele Papa, Andrea Dittadi, 2022, 2204.08479.

Generalization and Robustness Implications in Object-Centric Learning pdf

Ole Winther, Bernhard Schölkopf, Andrea Dittadi, 2021, ArXiv.

T HE R OLE OF P RETRAINED R EPRESENTATIONS FOR THE OOD G ENERALIZATION OF RL A GENTS

B. Schölkopf, O. Winther, P. Gehler, 2022 .

Generalization and Robustness Implications in Object-Centric Learning

Michele De Vita, B. Schölkopf, Francesco Locatello, 2021, ICML.

Generalization and Robustness Implications in Object-Centric Learning

Michele De Vita, B. Schölkopf, Francesco Locatello, 2021, ICML.

Assaying Out-Of-Distribution Generalization in Transfer Learning

B. Schiele, T. Brox, F. Wenzel, 2022, ArXiv.

Diffusion Models for Video Prediction and Infilling

Stefan Bauer, Didrik Nielsen, Andrea Dittadi, 2022, ArXiv.

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

O. Winther, Samuele Papa, Andrea Dittadi, 2022, ArXiv.

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

Julius von Kugelgen, Andrei Liviu Nicolicioiu, B. Scholkopf, 2022, 2210.00364.

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

Julius von Kügelgen, Andrei Liviu Nicolicioiu, B. Schölkopf, 2022, ICLR.

Assaying Out-Of-Distribution Generalization in Transfer Learning

B. Schiele, B. Schölkopf, T. Brox, 2022, NeurIPS.

Diffusion Models for Video Prediction and Infilling

Stefan Bauer, Didrik Nielsen, Andrea Dittadi, 2022, Trans. Mach. Learn. Res..

Image Super-Resolution With Deep Variational Autoencoders

O. Winther, Andrea Dittadi, Valentin Li'evin, 2022, ECCV Workshops.

On Disentangled Representations Learned from Correlated Data

Francesco Locatello, Anirudh Goyal, Bernhard Scholkopf, 2020, International Conference on Machine Learning.

Assessing Neural Network Robustness via Adversarial Pivotal Tuning

Peter Ebert Christensen, Serge J. Belongie, Andrea Dittadi, 2022, ArXiv.

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

Julius von Kügelgen, Andrei Liviu Nicolicioiu, B. Scholkopf, 2022, ICLR.

On the Transfer of Disentangled Representations in Realistic Settings

B. Schölkopf, Francesco Locatello, B. Scholkopf, 2020, ICLR.

On Disentangled Representations Learned from Correlated Data

B. Schölkopf, Anirudh Goyal, Francesco Locatello, 2020, ICML.

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

J. Shotton, Andrea Dittadi, D. Cosker, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Conditional generation of medical time series for extrapolation to underrepresented populations

Stefan Bauer, Patrick Schwab, Andrea Dittadi, 2022, PLOS digital health.

LAVAE: Disentangling Location and Appearance pdf

Ole Winther, Andrea Dittadi, O. Winther, 2019, ArXiv.

Semi-Supervised Variational Autoencoder for Survival Prediction

K. Leemput, Andrea Dittadi, Stefano Cerri, 2019, BrainLes@MICCAI.

Towards Hierarchical Discrete Variational Autoencoders

O. Winther, Lars Maaløe, Andrea Dittadi, 2019 .

Planning From Pixels in Atari With Learned Symbolic Representations

Frederik K. Drachmann, Andrea Dittadi, Thomas Bolander, 2020, AAAI.

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

O. Winther, F. Widmaier, Stefan Bauer, 2021, ICLR.

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

Ole Winther, Peter V. Gehler, Bernhard Schölkopf, 2021, ArXiv.

Learning to Plan from Raw Data in Grid-based Games

Ole Winther, Thomas Bolander, Andrea Dittadi, 2018, GCAI.

Boxhead: A Dataset for Learning Hierarchical Representations pdf

Bernhard Schölkopf, Stefan Bauer, Andrea Dittadi, 2021, ArXiv.

DCI-ES: AN EXTENDED DISENTANGLEMENT FRAME-

Julius von Kügelgen, Andrei Liviu Nicolicioiu, Andrea Dittadi, 2023 .

DiffEnc: Variational Diffusion with a Learned Encoder

Andrea Dittadi, Anders Christensen, Beatrix M. G. Nielsen, 2023, 2310.19789.

Diffusion Based Causal Representation Learning

Andrea Dittadi, Francesco Quinzan, Stefan Bauer, 2023, ArXiv.

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

O. Winther, Samuele Papa, Andrea Dittadi, 2022, ArXiv.