Some publications and conference papers I’ve worked on include the following:
Vinay Uday Prabhu, Matthew McAteer, Ryan Teehan. (2021). SPICEs: Survey Papers as Interactive Cheatsheet Embeddings, ICLR 2021: Rethinking ML Papers, Virtual Only Conference, May 3rd, 2021. https://openreview.net/pdf?id=1sysg9hi3KS .
Steeves, J, Shaabana, A, McAteer, MP. (2020).BitTensor: An Intermodel Intelligence Measure. ArXiv. March 9th, 2020. https://arxiv.org/abs/2003.03917
- Roberts, N, Prabhu, V, Prabhu, McAteer, MP. (2019). Model Weight Theft with just Noise Inputs: The Curious Case of the Petulant Attacker, ICML 2019: Security and Privacy on Machine Learning (Selected for Spotlight Presentation), Long Beach, CA, June 14th, 2019. https://arxiv.org/abs/1912.08987.
- Xu, J, Yap, DA, McAteer, MP, Prabhu, V, Prabhu. (2019). On the emergence of sharp minima post adversarial augmentation, ICML 2019: Security and Privacy on Machine Learning, Long Beach, CA, June 14th, 2019. https://icml2019workshop.github.io/.
- Xu, J, Yap, DA, McAteer, MP, Prabhu, V, Prabhu. (2019). Understanding Adversarial Robustness Through Loss Landscape Geometries, ICML 2019: Uncertainty & Robustness in Deep Learning workshop, Long Beach, CA, Jun 9th, 2019. https://sites.google.com/view/udlworkshop2019/
- Ng, K. S., Smith, J. A., McAteer, M. P., Mead, B. E., Ware, J., Jackson, F. O., … & Reeve, B. (2018). Bioprocess decision support tool for scalable manufacture of extracellular vesicles. Biotechnology and bioengineering, 116(2), 307-319.
Davidson-Pilon, C., Dillon, J., McAteer, M. P. , Shwe, M., Seybold, B.. (2019). Probabilistic Programming and Bayesian Methods for Hackers (2nd Edition)
The best way to reach me is at
contact at matthewmcateer dot me.