Ben Adlam
Google (United States)(US)
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Stochastic Gradient Optimization Techniques, Evolution and Genetic Dynamics, Machine Learning and Data Classification, Adversarial Robustness in Machine Learning
Most-Cited Works
- → Underspecification Presents Challenges for Credibility in Modern Machine Learning(2020)430 cited
- → Crowding and the shape of COVID-19 epidemics(2020)300 cited
- → Current CRISPR gene drive systems are likely to be highly invasive in wild populations(2018)165 cited
- → Dynamics of COVID-19 under social distancing measures are driven by transmission network structure(2021)112 cited
- → The effect of eviction moratoria on the transmission of SARS-CoV-2(2021)93 cited
- → Amplifiers of selection(2015)61 cited
- → Crowding and the epidemic intensity of COVID-19 transmission(2020)44 cited
- Finite Versus Infinite Neural Networks: an Empirical Study(2020)
- → Universality of fixation probabilities in randomly structured populations(2014)37 cited