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researcher

Mark S. Squillante

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • math.OC1

identity via Semantic Scholar / OpenAlex

most citedPROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach

5 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2019★ 5 cited

PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach

Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen +3

With deep neural networks providing state-of-the-art machine learning models for numerous machine learning tasks, quantifying the robustness of these models has become an important…

math.OC2015★ 1 cited

Matching Supply and Demand in Production-Inventory Systems: Asymptotics and Optimization

Yingdong Lu, Mark S. Squillante, David D. Yao

We consider a general class of high-volume, fast-moving production-inventory systems based on both lost-sales and backorder inventory models. Such systems require a fundamental und…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.