Sotabase

Career

· Research Assistant, Institute for Computational Sustainability, Cornell University2013–
· Postdoctoral Researcher, Cornell University2009–2011
· Ph.D Student, Cornell University2006–2009
· Ph.D Student, University of Glasgow2006–2009
· Master of Science (M.Sc.), University of Edinburgh2003–2004
· Master of Engineering (M.Eng.), University of Manchester1999–2003

Publications (93)

The eBird enterprise: An integrated approach to development and application of citizen science
2014
942
cited
Shifts in Arctic vegetation and associated feedbacks under climate change
2013
763
cited
Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection
Bioinform. · 2008
175
cited
Multiclass Relevance Vector Machines: Sparsity and Accuracy
IEEE Transactions on Neural Networks · 2010
145
cited
An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference
Journal of machine learning research · 2022
115
cited
Generalized Variational Inference: Three arguments for deriving new Posteriors
2019
114
cited
Using Topological Analysis to Support Event-Guided Exploration in Urban Data
IEEE Transactions on Visualization and Computer Graphics · 2014
77
cited
Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets
SIGMOD Conference · 2016
74
cited
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences
Neural Information Processing Systems · 2018
67
cited
Adaptive Spatio-Temporal Exploratory Models: Hemisphere-wide species distributions from massively crowdsourced eBird data
AAAI Conference on Artificial Intelligence · 2013
63
cited
A Human/Computer Learning Network to Improve Biodiversity Conservation and Research
The AI Magazine · 2012
59
cited
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
International Conference on Artificial Intelligence and Statistics · 2022
57
cited
Nonasymptotic Estimates for Stochastic Gradient Langevin Dynamics Under Local Conditions in Nonconvex Optimization
Applied Mathematics and Optimization · 2019
55
cited
Crowdsourcing Meets Ecology: Hemisphere-Wide Spatiotemporal Species Distribution Models
The AI Magazine · 2014
49
cited
Generalized Variational Inference
arXiv.org · 2019
48
cited
Spatio-Temporal Variational Gaussian Processes
Neural Information Processing Systems · 2021
47
cited
Distribution Regression for Sequential Data
International Conference on Artificial Intelligence and Statistics · 2020
43
cited
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection
International Conference on Machine Learning · 2018
43
cited
eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research
Conference on Innovative Applications of Artificial Intelligence · 2012
40
cited
Multi-resolution Multi-task Gaussian Processes
Neural Information Processing Systems · 2019
40
cited
Sotabase
Themis Damoulas | Researcher Profile | Sotabase | Sotabase