Marco Mondelli
29 papers · 2018–2025 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 24% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Marco Mondelli?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Ramji Venkataramanan, Kevin Kögler, Yihan Zhang
7 papers
· 2021–2024
· ICML, NeurIPS, COLT
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Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
ICML 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
NeurIPS 2024
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing (Extended Abstract)
COLT 2024
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
ICML 2023
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
ICML 2022
Approximate Message Passing with Spectral Initialization for Generalized Linear Models
AISTATS 2021
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
NeurIPS 2021
5 papers whose co-authors appear nowhere else under this name
Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime
ICML 2025
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
COLT 2025
Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo (Extended Abstract)
COLT 2024
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
NeurIPS 2022
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
ICML 2021