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URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks.

M. Vadera, A. Cobb, B. Jalaian, and B. Marlin. CoRR, (2020)

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Birgit Cobbers

John Ernest Cobbina

Joanna Cobb Biermann

James Edward Cobbah

Christian Cobbers

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URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks.M. Vadera, A. Cobb, B. Jalaian, and B. Marlin. CoRR, (2020)Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus.A. Cobb, R. Everett, A. Markham, and S. Roberts. KDD, page 1254-1262. ACM, (2018)AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs.A. Cobb, A. Roy, D. Elenius, F. Heim, B. Swenson, S. Whittington, J. Walker, T. Bapty, J. Hite, K. Ramani and 2 other author(s). CoRR, (2023)On Sequential Bayesian Inference for Continual Learning.S. Kessler, A. Cobb, T. Rudner, S. Zohren, and S. Roberts. Entropy, 25 (6): 884 (June 2023)URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods.M. Vadera, J. Li, A. Cobb, B. Jalaian, T. Abdelzaher, and B. Marlin. MLSys, mlsys.org, (2022)Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity.W. Fruehwirt, A. Cobb, M. Mairhofer, L. Weydemann, H. Garn, R. Schmidt, T. Benke, P. Dal-Bianco, G. Ransmayr, M. Waser and 4 other author(s). CoRR, (2018)Scalable Bounding of Predictive Uncertainty in Regression Problems with SLAC.A. Blaas, A. Cobb, J. Calliess, and S. Roberts. SUM, volume 11142 of Lecture Notes in Computer Science, page 373-379. Springer, (2018)Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo.A. Cobb, A. Baydin, A. Markham, and S. Roberts. CoRR, (2019)An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval.A. Cobb, M. Himes, F. Soboczenski, S. Zorzan, M. O'Beirne, A. Baydin, Y. Gal, S. Domagal-Goldman, G. Arney, and D. Angerhausen. CoRR, (2019)Improving Differential Evolution through Bayesian Hyperparameter Optimization.S. Biswas, D. Saha, S. De, A. Cobb, S. Das, and B. Jalaian. CEC, page 832-840. IEEE, (2021)

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Disambiguation of "Cobb, Adam D."

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URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks.

Please choose a person to relate this publication to

Birgit Cobbers

John Ernest Cobbina

Joanna Cobb Biermann

James Edward Cobbah

Christian Cobbers

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Cobb, Adam D."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks.

Please choose a person to relate this publication to

Birgit Cobbers

John Ernest Cobbina

Joanna Cobb Biermann

James Edward Cobbah

Christian Cobbers

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks.