Chester Holtz

Orcid: 0000-0002-8548-4539

According to our database1, Chester Holtz authored at least 21 papers between 2015 and 2024.

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Bibliography

2024
On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations.
CoRR, 2024

2023
DAGSizer: A Directed Graph Convolutional Network Approach to Discrete Gate Sizing of VLSI Graphs.
ACM Trans. Design Autom. Electr. Syst., July, 2023

Graph Embedding via Subspace Minimization with Applications to Chip Placement and Semi-Supervised Learning
PhD thesis, 2023

Semi-Supervised Laplacian Learning on Stiefel Manifolds.
CoRR, 2023

Placement Initialization via Sequential Subspace Optimization with Sphere Constraints.
Proceedings of the 2023 International Symposium on Physical Design, 2023

2022
Machine Learning Prediction for Design and System Technology Co-Optimization Sensitivity Analysis.
IEEE Trans. Very Large Scale Integr. Syst., 2022

Learning Sample Reweighting for Accuracy and Adversarial Robustness.
CoRR, 2022

Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors.
Proceedings of the Topological, 2022

Placement initialization via a projected eigenvector algorithm: late breaking results.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Net Separation-Oriented Printed Circuit Board Placement via Margin Maximization.
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2021
Online Adversarial Purification based on Self-Supervision.
CoRR, 2021

Design and System Technology Co-Optimization Sensitivity Prediction for VLSI Technology Development using Machine Learning.
Proceedings of the ACM/IEEE International Workshop on System Level Interconnect Prediction, 2021

Online Adversarial Purification based on Self-supervised Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

A Unified Printed Circuit Board Routing Algorithm With Complicated Constraints and Differential Pairs.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020
Grid-Based Framework for Routability Analysis and Diagnosis With Conditional Design Rules.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Tslearn, A Machine Learning Toolkit for Time Series Data.
J. Mach. Learn. Res., 2020

2019
A Comparison of Machine Learning Tools for Early Prediction of Sepsis from ICU Data.
Proceedings of the 46th Computing in Cardiology, 2019

2017
Autism spectrum disorder detection from semi-structured and unstructured medical data.
EURASIP J. Bioinform. Syst. Biol., 2017

University of Rochester WMT 2017 NMT System Submission.
Proceedings of the Second Conference on Machine Translation, 2017

2015
Comparative Analysis of Classic Garbage-Collection Algorithms for a Lisp-like Language.
CoRR, 2015

A Refutation of the Clique-Based P=NP Proofs of LaPlante and Tamta-Pande-Dhami.
CoRR, 2015


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