Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

Dingling Yao

Riccardo Cadei

Walter Nelson

Shimeng Huang

Francesco Montagna

Adeel Pervez

Clementine Domine

Dario Rancati

Francesco Locatello

Marco Fumero

Berker Demirel



88 Publications

2025 | Submitted | Preprint | IST-REx-ID: 19674 | OA
Basile, Lorenzo, et al. “ResiDual Transformer Alignment with Spectral Decomposition.” ArXiv, 2411.00246, doi:10.48550/arXiv.2411.00246.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2025 | Published | Conference Paper | IST-REx-ID: 20036 | OA
Pariza, Valentinos, et al. “Near, Far: Patch-Ordering Enhances Vision Foundation Models’ Scene Understanding.” 13th International Conference on Learning Representations, ICLR, 2025, pp. 72303–30.
[Published Version] View | Files available | arXiv
 
2025 | Published | Conference Paper | IST-REx-ID: 20032 | OA
Chen, Jiale, et al. “Scalable Mechanistic Neural Networks.” 13th International Conference on Learning Representations, ICLR, 2025, pp. 63716–37.
[Published Version] View | Files available | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 14213 | OA
Lao, Dong, et al. “Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots.” 1st Conference on Parsimony and Learning, 2024.
[Published Version] View | Files available | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18114 | OA
Pervez, Adeel A., et al. “Mechanistic Neural Networks for Scientific Machine Learning.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 40484–501.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2024 | Research Data Reference | IST-REx-ID: 18895 | OA
Cadei, Riccardo, et al. ISTAnt. Institute of Science and Technology Austria, 2024, doi:10.6084/M9.FIGSHARE.26484934.V2.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
2024 | Published | Conference Paper | IST-REx-ID: 18956 | OA
Demirel, Berker, and Huseyin Ozkan. “Decompl: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image.” 2024 IEEE International Conference on Image Processing, IEEE, 2024, pp. 977–83, doi:10.1109/icip51287.2024.10647499.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18964 | OA
Fan, Ke, et al. “Adaptive Slot Attention: Object Discovery with Dynamic Slot Number.” 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2024, doi:10.1109/cvpr52733.2024.02176.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18971 | OA
Arefin, Rifat, et al. “Unsupervised Concept Discovery Mitigates Spurious Correlations.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 1672–88.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 14946 | OA
Yao, Dingling, et al. “Multi-View Causal Representation Learning with Partial Observability.” 12th International Conference on Learning Representations, Curran Associates, 2024.
[Published Version] View | Files available | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 19010 | OA
Yao, Dingling, et al. “Unifying Causal Representation Learning with the Invariance Principle.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 19007 | OA
Kori, Avinash, et al. “Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 19515 | OA
Fumero, Marco, et al. “Latent Functional Maps: A Spectral Framework for Representation Alignment.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 19517 | OA
Crisostomi, Donato, et al. “C2M3: Cycle-Consistent Multi-Model Merging.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18996 | OA
Chen, Tianyu, et al. “Identifying General Mechanism Shifts in Linear Causal Representations.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 19005 | OA
Yao, Dingling, et al. “Marrying Causal Representation Learning with Dynamical Systems for Science.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18847 | OA
Cadei, Riccardo, et al. “Smoke and Mirrors in Causal Downstream Tasks.” ICML 2024 Workshop AI4Science, vol. 38, Curran Associates, 2024.
[Published Version] View | Files available | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14105 | OA
Sinha, Samarth, et al. “TeST: Test-Time Self-Training under Distribution Shift.” 2023 IEEE/CVF Winter Conference on Applications of Computer Vision, Institute of Electrical and Electronics Engineers, 2023, doi:10.1109/wacv56688.2023.00278.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2023 | Submitted | Preprint | IST-REx-ID: 14207 | OA
Löwe, Sindy, et al. “Rotating Features for Object Discovery.” ArXiv, 2306.00600, doi:10.48550/arXiv.2306.00600.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14208 | OA
Zhu, Zhenyu, et al. “Benign Overfitting in Deep Neural Networks under Lazy Training.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 43105–28.
[Preprint] View | Download Preprint (ext.) | arXiv
 

Search

Filter Publications

Display / Sort

Citation Style: MLA

Export / Embed