Obserwuj
Andrea Dittadi
Tytuł
Cytowane przez
Cytowane przez
Rok
On Disentangled Representations Learned from Correlated Data
F Träuble, E Creager, N Kilbertus, F Locatello, A Dittadi, A Goyal, ...
ICML 2021, 2021
852021
On the Transfer of Disentangled Representations in Realistic Settings
A Dittadi*, F Träuble*, F Locatello, M Wüthrich, V Agrawal, O Winther, ...
ICLR 2021, 2021
602021
Diffusion Models for Video Prediction and Infilling
T Höppe, A Mehrjou, S Bauer, D Nielsen, A Dittadi
TMLR, 2022
332022
Assaying Out-Of-Distribution Generalization in Transfer Learning
F Wenzel, A Dittadi, PV Gehler, CJ Simon-Gabriel, M Horn, D Zietlow, ...
NeurIPS 2022, 2022
292022
Generalization and Robustness Implications in Object-Centric Learning
A Dittadi, S Papa, M De Vita, B Schölkopf, O Winther, F Locatello
ICML 2022, 2022
282022
Full-Body Motion From a Single Head-Mounted Device: Generating SMPL Poses From Partial Observations
A Dittadi, S Dziadzio, D Cosker, B Lundell, TJ Cashman, J Shotton
ICCV 2021, 2021
242021
Planning from Pixels in Atari with Learned Symbolic Representations
A Dittadi, FK Drachmann, T Bolander
AAAI 2021, 2021
142021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
A Dittadi*, F Träuble*, M Wüthrich, F Widmaier, P Gehler, O Winther, ...
ICLR 2022, 2022
13*2022
Image Super-Resolution With Deep Variational Autoencoders
D Chira*, I Haralampiev*, O Winther, A Dittadi*, V Liévin*
ECCV Workshop on Advances in Image Manipulation, 2022
112022
Towards Hierarchical Discrete Variational Autoencoders
V Liévin, A Dittadi, L Maaløe, O Winther
2nd Symposium on Advances in Approximate Bayesian Inference (AABI 2019), 2019
92019
Inductive Biases for Object-Centric Representations in the Presence of Complex Textures
S Papa, O Winther, A Dittadi
UAI Workshop on Causal Representation Learning, 2022
6*2022
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds
V Liévin, A Dittadi, A Christensen, O Winther
NeurIPS 2020, 2020
62020
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
C Eastwood*, AL Nicolicioiu*, J von Kügelgen*, A Kekić, F Träuble, ...
ICLR 2023, 2023
5*2023
Learning to Plan from Raw Data in Grid-based Games
A Dittadi, T Bolander, O Winther
GCAI 2018, 2018
52018
Semi-Supervised Variational Autoencoder for Survival Prediction
S Pálsson*, S Cerri*, A Dittadi*, K Van Leemput
MICCAI Brain Lesion Workshop, 2019
42019
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations
S Bing, A Dittadi, S Bauer*, P Schwab*
PLOS Digital Health, 2022
22022
Boxhead: A Dataset for Learning Hierarchical Representations
Y Chen, F Träuble, A Dittadi, S Bauer, B Schölkopf
NeurIPS Workshop on Shared Visual Representations in Human and Machine …, 2021
22021
LAVAE: Disentangling Location and Appearance
A Dittadi, O Winther
NeurIPS Workshop on Perception as Generative Reasoning, 2019
22019
Spreading and repetitions in satellite MAC protocols
A Biason, A Dittadi, M Zorzi
2016 IEEE International Conference on Communications (ICC), 1-6, 2016
22016
Diffusion Based Causal Representation Learning
AMK Mamaghan, A Dittadi, S Bauer, F Quinzan
ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023
2023
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20