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Celeste: Variational inference for a generative model of astronomical images.

J. Regier, A. Miller, J. McAuliffe, R. Adams, M. Hoffman, D. Lang, D. Schlegel, and Prabhat. ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 2095-2103. JMLR.org, (2015)

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Dr. Andrew Clifton University of Stuttgart

Grand challenges in the digitalisation of wind energyA. Clifton, S. Barber, A. Bray, P. Enevoldsen, J. Fields, A. Sempreviva, L. Williams, J. Quick, M. Purdue, P. Totaro and 1 other author(s). Wind energy science, 8 (6): 947-974 (2023)

Olga Miller University of Stuttgart

Development of a basalt fiber-reinforced composite duct for post-tensioned functionally graded concrete structuresD. Nigl, O. Miller, M. Witt, S. Selvarayan, M. Milwich, G. Gresser, and L. Blandini. Construction and Building Materials, (July 2025)

Eva Miller University of Stuttgart

Markus Miller University of Stuttgart

Jared Miller University of Stuttgart

Other publications of authors with the same name

Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems.S. Linderman, M. Johnson, A. Miller, R. Adams, D. Blei, and L. Paninski. AISTATS, volume 54 of Proceedings of Machine Learning Research, page 914-922. PMLR, (2017)Semi-Amortized Variational Autoencoders.Y. Kim, S. Wiseman, A. Miller, D. Sontag, and A. Rush. ICML, volume 80 of Proceedings of Machine Learning Research, page 2683-2692. PMLR, (2018)Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball.A. Miller, L. Bornn, R. Adams, and K. Goldsberry. ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 235-243. JMLR.org, (2014)A Probabilistic Model of Cardiac Physiology and Electrocardiograms.A. Miller, Z. Obermeyer, D. Blei, J. Cunningham, and S. Mullainathan. CoRR, (2018)Measuring the Stability of EHR- and EKG-based Predictive Models.A. Miller, Z. Obermeyer, and S. Mullainathan. CoRR, (2018)Approximate Inference for Constructing Astronomical Catalogs from Images.J. Regier, A. Miller, D. Schlegel, R. Adams, J. McAuliffe, and Prabhat. CoRR, (2018)Celeste: Variational inference for a generative model of astronomical images.J. Regier, A. Miller, J. McAuliffe, R. Adams, M. Hoffman, D. Lang, D. Schlegel, and Prabhat. ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 2095-2103. JMLR.org, (2015)A Gaussian Process Model of Quasar Spectral Energy Distributions.A. Miller, A. Wu, J. Regier, J. McAuliffe, D. Lang, Prabhat, D. Schlegel, and R. Adams. NIPS, page 2494-2502. (2015)Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography.A. Miller, Z. Obermeyer, J. Cunningham, and S. Mullainathan. ICML, volume 97 of Proceedings of Machine Learning Research, page 4585-4594. PMLR, (2019)Variational Boosting: Iteratively Refining Posterior Approximations.A. Miller, N. Foti, and R. Adams. ICML, volume 70 of Proceedings of Machine Learning Research, page 2420-2429. PMLR, (2017)