Research Outputs By Topic:

A) Numerical Optimization

i. AI Enhanced Optimization

1) Irwin, B., Haber, E., Gal, R., and Ziv, A. (2023) Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods. Proceedings of the 40th International Conference on Machine Learning (ICML). PMLR 202:14376-14389.

Paper, Code, Conference Page

 

2) Irwin, B., Haber, E., Gal, R., and Ziv, A. (2021) Deep Neural Network Accelerated Implicit Filtering.

Preprint

 

ii. Particle Filter Based Optimization

1) Irwin, B., and Reich, S. (2023) EnKSGD: A Class Of Preconditioned Black Box Optimization And Inversion Algorithms.

Preprint, Code

 

iii. Quasi-Newton Methods

1) Irwin, B. and Haber, E. (2023) Secant penalized BFGS: a noise robust quasi-Newton method via penalizing the secant condition. Computational Optimization and Applications (Comput Optim Appl). 84:651-702.

Paper, Code, Preprint

 


 

B) Hardware Verification

1) Gal, R., Haber, E., Irwin, B., Mouallem, M., Saleh, B., and Ziv, A. (2021) Using Deep Neural Networks And Derivative Free Optimization To Accelerate Coverage Closure. 2021 ACM/IEEE 3rd Workshop on Machine Learning for CAD (MLCAD). pp.1-6.

Paper, Conference Page

 

2) Gal, R., Haber, E., Ibraheem, W., Irwin, B., and Ziv, A. (2021) Automatic Scalable System for the Coverage-Directed Generation (CDG) Problem. 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE). pp.206-211.

Paper, Conference Page

 

3) Gal, R., Haber, E., Irwin, B., Saleh, B., and Ziv, A. (2021) How to catch a lion in the desert: on the solution of the coverage directed generation (CDG) problem. Optimization and Engineering (Optim Eng). 22:217-245.

Paper, Preprint

 


 

C) Natural Language Processing

1) Begert, D., Granek, J., Irwin, B., and Brogly, C. (2020) Towards automating systematic reviews on immunization using an advanced natural language processing-based extraction system. Canada Communicable Disease Report (CCDR). 46(6):174-179.

Paper

 


 

D) Single Particle Microscopy

1) Abraham, L., Lu, H.Y., Falcao, R.C., Scurll, J., Jou, T., Irwin, B., Tafteh, R., Gold, M., and Coombs, D. (2017) Limitations of Qdot labelling compared to directly-conjugated probes for single particle tracking of B cell receptor mobility. Scientific Reports. Volume 7, Article #: 11379.

Paper