Dan Mikulincer

Orcid: 0000-0003-3597-3550

According to our database1, Dan Mikulincer authored at least 14 papers between 2016 and 2025.

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Bibliography

2025
Size and Depth of Monotone Neural Networks: Interpolation and Approximation.
IEEE Trans. Neural Networks Learn. Syst., April, 2025

Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions.
Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

Time Lower Bounds for the Metropolis Process and Simulated Annealing.
Proceedings of the Approximation, 2025

2024
How to Trap a Gradient Flow.
SIAM J. Comput., 2024

2023
Noise Stability on the Boolean Hypercube via a Renormalized Brownian Motion.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Integrality Gaps for Random Integer Programs via Discrepancy.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Is This Correct? Let's Check!
Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

2022
Community detection and percolation of information in a geometric setting.
Comb. Probab. Comput., 2022

Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Non-asymptotic approximations of neural networks by Gaussian processes.
Proceedings of the Conference on Learning Theory, 2021

2020
Network size and weights size for memorization with two-layers neural networks.
CoRR, 2020

Network size and size of the weights in memorization with two-layers neural networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Stability of the Shannon-Stam inequality via the Föllmer process.
CoRR, 2019

2016
Information and dimensionality of anisotropic random geometric graphs.
CoRR, 2016


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