Daniel Sheldon
Cited by
Cited by
Data-intensive science applied to broad-scale citizen science
WM Hochachka, D Fink, RA Hutchinson, D Sheldon, WK Wong, S Kelling
Trends in ecology & evolution 27 (2), 130-137, 2012
Spatiotemporal exploratory models for broad‐scale survey data
D Fink, WM Hochachka, B Zuckerberg, DW Winkler, B Shaby, MA Munson, ...
Ecological Applications 20 (8), 2131-2147, 2010
Ensemble forecasts of coronavirus disease 2019 (COVID-19) in the US
EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ...
MedRXiv, 2020.08. 19.20177493, 2020
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
A bayesian perspective on the deep image prior
Z Cheng, M Gadelha, S Maji, D Sheldon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Graphical-model based estimation and inference for differential privacy
R McKenna, D Sheldon, G Miklau
International Conference on Machine Learning, 4435-4444, 2019
Phenology of nocturnal avian migration has shifted at the continental scale
KG Horton, FA La Sorte, D Sheldon, TY Lin, K Winner, G Bernstein, S Maji, ...
Nature Climate Change 10 (1), 63-68, 2020
Importance weighting and variational inference
J Domke, DR Sheldon
Advances in neural information processing systems 31, 2018
Elevated summer temperatures delay spawning and reduce redd construction for resident brook trout (Salvelinus fontinalis)
DR Warren, JM Robinson, DC Josephson, DR Sheldon, CE Kraft
Global Change Biology 18 (6), 1804-1811, 2012
Computational sustainability: Computing for a better world and a sustainable future
C Gomes, T Dietterich, C Barrett, J Conrad, B Dilkina, S Ermon, F Fang, ...
Communications of the ACM 62 (9), 56-65, 2019
Maximizing the spread of cascades using network design
D Sheldon, B Dilkina, A Elmachtoub, R Finseth, A Sabharwal, J Conrad, ...
Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence …, 2010
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data
R McKenna, G Miklau, D Sheldon
arXiv preprint arXiv:2108.04978, 2021
LambdaMerge: merging the results of query reformulations
D Sheldon, M Shokouhi, M Szummer, N Craswell
Proceedings of the fourth ACM international conference on Web search and …, 2011
A method for measuring the relative information content of data from different monitoring protocols
MA Munson, R Caruana, D Fink, WM Hochachka, M Iliff, KV Rosenberg, ...
Methods in Ecology and Evolution 1 (3), 263-273, 2010
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Medrxiv, 2021.02. 03.21250974, 2021
Collective Graphical Models
D Sheldon, TG Dietterich
Neural Information Processing Sytems (NIPS), 2011
Statistical inference for home range overlap
K Winner, MJ Noonan, CH Fleming, KA Olson, T Mueller, D Sheldon, ...
Methods in Ecology and Evolution 9 (7), 1679-1691, 2018
A hidden Markov model for reconstructing animal paths from solar geolocation loggers using templates for light intensity
E Rakhimberdiev, DW Winkler, E Bridge, NE Seavy, D Sheldon, ...
Movement ecology 3, 1-15, 2015
Drivers of fatal bird collisions in an urban center
BM Van Doren, DE Willard, M Hennen, KG Horton, EF Stuber, D Sheldon, ...
Proceedings of the National Academy of Sciences 118 (24), e2101666118, 2021
MistNet: Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks
TY Lin, K Winner, G Bernstein, A Mittal, AM Dokter, KG Horton, C Nilsson, ...
Methods in Ecology and Evolution 10 (11), 1908-1922, 2019
The system can't perform the operation now. Try again later.
Articles 1–20