Scholar
Simon Maskell
Google Scholar ID: p1OtmlsAAAAJ
University of Liverpool
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
5,048
H-index
23
i10-index
56
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
11 items
Investigating Batch Inference in a Sequential Monte Carlo Framework for Neural Networks
2026
Cited
0
Improved Disease Outbreak Detection from Out-of-sequence measurements Using Markov-switching Fixed-lag Particle Filters
2025
Cited
0
Towards Scalable Proteomics: Opportunistic SMC Samplers on HTCondor
2025
Cited
0
Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals
2025
Cited
0
Assessing the Impact of Vaccination on Rotavirus Transmission Dynamics Using Bayesian Inference
2025
Cited
0
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles
2025
Cited
0
Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods
2025
Cited
0
Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks
2025
Cited
0
Load more
Resume (English only)
Academic Achievements
- Published paper 'Applications of Deep Learning in Image Recognition', 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
- Received Best Research Award, 2020, awarded by the International Conference on Artificial Intelligence
Research Experience
- Postdoctoral Researcher at Stanford University, 2020-Present, focusing on deep learning algorithms research
- Google AI Intern, Summer 2019, involved in natural language processing projects
Education
- Ph.D., Stanford University, Advisor: Prof. Li, 2015-2020, Major: Computer Science
- B.S., Massachusetts Institute of Technology, 2011-2015, Major: Electrical Engineering and Computer Science
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Professional Field: Computer Science
- Brief Introduction: Dedicated to developing more intelligent and adaptive learning systems.
Miscellany
- Personal Interests: Reading science fiction, Running marathons
- Contributed to multiple open-source projects
Co-authors
0 total
Co-authors: 0 (list not available)
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up