Prix Lopez-Loretta 2019 - Marco Mondelli

Project Period: 2020-10-01 – 2025-09-30
Funder: Fondation Jean-Jacques et Felicia Lopez-Loreta
Principal Investigator
Department(s)
Mondelli Group
Funder
Fondation Jean-Jacques et Felicia Lopez-Loreta
Funder Schema
LOPEZ-LLP

40 Publications

2026 | Published | Journal Article | IST-REx-ID: 22228 | OA | PlanS
Precise asymptotics for spectral methods in mixed generalized linear models
Y. Zhang, M. Mondelli, R. Venkataramanan, SIAM Journal on Mathematics of Data Science 8 (2026) 411–439.
[Published Version] View | Files available | DOI | arXiv
 
2026 | Published | Thesis | PhD | IST-REx-ID: 23072 | OA
Compression and inference in high dimensions: An approximate message passing perspective
K. Kögler, Compression and Inference in High Dimensions: An Approximate Message Passing Perspective, Institute of Science and Technology Austria, 2026.
[Published Version] View | Files available | DOI
 
2026 | Published | Thesis | PhD | IST-REx-ID: 22258 | OA
From sparse selection to risk prediction: Approximate message passing for proteomic survival models and large-scale genomics
A. Depope, From Sparse Selection to Risk Prediction: Approximate Message Passing for Proteomic Survival Models and Large-Scale Genomics, Institute of Science and Technology Austria, 2026.
[Published Version] View | Files available | DOI
 
2026 | Published | Journal Article | IST-REx-ID: 21488 | OA
Joint modeling of whole-genome sequencing data for human height via approximate message passing
A. Depope, J. Bajzik, M. Mondelli, M.R. Robinson, Cell Genomics 6 (2026).
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
2025 | Published | Journal Article | IST-REx-ID: 18986 | OA
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
J. Barbier, F. Camilli, Y. Xu, M. Mondelli, Physical Review Research 7 (2025).
[Published Version] View | Files available | DOI | arXiv
 
2025 | Published | Journal Article | IST-REx-ID: 20734 | OA | PlanS
Spectral estimators for structured generalized linear models via approximate message passing
Y. Zhang, H.C. Ji, R. Venkataramanan, M. Mondelli, Mathematical Statistics and Learning 8 (2025) 193–304.
[Published Version] View | Files available | DOI
 
2025 | Published | Journal Article | IST-REx-ID: 19627 | OA
Privacy for free in the overparameterized regime
S. Bombari, M. Mondelli, Proceedings of the National Academy of Sciences 122 (2025).
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18891 | OA
Neural collapse versus low-rank bias: Is deep neural collapse really optimal?
P. Súkeník, C. Lampert, M. Mondelli, in:, 38th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18897 | OA
Improved convergence of score-based diffusion models via prediction-correction
F. Pedrotti, J. Maas, M. Mondelli, in:, Transactions on Machine Learning Research, 2024.
[Published Version] View | Files available | arXiv
 
earlier version | 2024 | Draft | Preprint | IST-REx-ID: 17350 | OA
Improved convergence of score-based diffusion models via prediction-correction
F. Pedrotti, J. Maas, M. Mondelli, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18890 | OA
Average gradient outer product as a mechanism for deep neural collapse
D. Beaglehole, P. Súkeník, M. Mondelli, M. Belkin, in:, 38th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 
2024 | Published | Journal Article | IST-REx-ID: 15172 | OA
Concentration without independence via information measures
A.R. Esposito, M. Mondelli, IEEE Transactions on Information Theory 70 (2024) 3823–3839.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 17147 | OA
Inference of genetic effects via approximate message passing
A. Depope, M. Mondelli, M.R. Robinson, in:, 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, 2024, pp. 13151–13155.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
2024 | Published | Conference Paper | IST-REx-ID: 18973 | OA
Towards understanding the word sensitivity of attention layers: A study via random features
S. Bombari, M. Mondelli, in:, 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 4300–4328.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18972 | OA
How spurious features are memorized: Precise analysis for random and NTK features
S. Bombari, M. Mondelli, in:, 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 4267–4299.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
2024 | Published | Thesis | PhD | IST-REx-ID: 17465 | OA
High-dimensional limits in artificial neural networks
A. Shevchenko, High-Dimensional Limits in Artificial Neural Networks, Institute of Science and Technology Austria, 2024.
[Published Version] View | Files available | DOI
 
2024 | Published | Conference Paper | IST-REx-ID: 17469 | OA
Compression of structured data with autoencoders: Provable benefit of nonlinearities and depth
K. Kögler, A. Shevchenko, H. Hassani, M. Mondelli, in:, Proceedings of the 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 24964–25015.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2023 | Published | Journal Article | IST-REx-ID: 13315 | OA
Fundamental limits in structured principal component analysis and how to reach them
J. Barbier, F. Camilli, M. Mondelli, M. Sáenz, Proceedings of the National Academy of Sciences of the United States of America 120 (2023).
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2023 | Published | Conference Paper | IST-REx-ID: 14924 | OA
Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence
D. Wu, V. Kungurtsev, M. Mondelli, in:, Transactions on Machine Learning Research, ML Research Press, 2023.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14921 | OA
Deep neural collapse is provably optimal for the deep unconstrained features model
P. Súkeník, M. Mondelli, C. Lampert, in:, 37th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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