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IDK Cascades: Fast Deep Learning by Learning not to Overthink.

X. Wang, Y. Luo, D. Crankshaw, A. Tumanov, and J. Gonzalez. CoRR, (2017)

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Daniel Holder University of Stuttgart

Laser micromachining of bionic transport structures on cemented tungsten carbide for passive directional transport of lubricantsD. Holder, N. Kessenbrock, K. Cirakoglu, C. Hagenlocher, and T. Graf. 123, page 452–457. Elsevier BV, (2024)

Dr. -Ing. Daniel Markthaler University of Stuttgart

Replication Data for: Biocatalytic stereocontrolled head-to-tail cyclizations of unbiased terpenes as a tool in chemoenzymatic synthesisN. Hansen, and D. Markthaler. Dataset, (2024)Related to: Schneider, Andreas; Lystbæk, Thomas B.; Markthaler, Daniel; Hansen, Niels; Hauer, Bernhard (2024): Biocatalytic stereocontrolled head-to-tail cyclizations of unbiased terpenes as a tool in chemoenzymatic synthesis. In: Nature Communications, 15, 4925. doi: 10.1038/s41467-024-48993-9.

Univ. -Prof. Dr. Daniel Weiskopf University of Stuttgart

Supplemental Materials for: Visual Analysis of Fitness Landscapes in Architectural Design OptimizationM. Abdelaal, M. Galuschka, M. Zorn, F. Kannenberg, A. Menges, T. Wortmann, D. Weiskopf, and K. Kurzhals. Software, (2024)Related to: Manuscript accepted for publication in the Visual Computer journal.

Daniel Marino

Daniel Roth

Other publications of authors with the same name

Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning.R. Liaw, S. Krishnan, A. Garg, D. Crankshaw, J. Gonzalez, and K. Goldberg. CoRR, (2017)IDK Cascades: Fast Deep Learning by Learning not to Overthink.X. Wang, Y. Luo, D. Crankshaw, A. Tumanov, and J. Gonzalez. CoRR, (2017)The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox.D. Crankshaw, P. Bailis, J. Gonzalez, H. Li, Z. Zhang, M. Franklin, A. Ghodsi, and M. Jordan. CoRR, (2014)IDK Cascades: Fast Deep Learning by Learning not to Overthink.X. Wang, Y. Luo, D. Crankshaw, A. Tumanov, F. Yu, and J. Gonzalez. UAI, page 580-590. AUAI Press, (2018)Inverted indices for particle tracking in petascale cosmological simulations.D. Crankshaw, R. Burns, B. Falck, T. Budavari, A. Szalay, and J. Wang. SSDBM, page 25:1-25:10. ACM, (2013)GraphX: Unifying Data-Parallel and Graph-Parallel Analytics.R. Xin, D. Crankshaw, A. Dave, J. Gonzalez, M. Franklin, and I. Stoica. CoRR, (2014)InferLine: ML Inference Pipeline Composition Framework.D. Crankshaw, G. Sela, C. Zumar, X. Mo, J. Gonzalez, I. Stoica, and A. Tumanov. CoRR, (2018)Clipper: A Low-Latency Online Prediction Serving System.D. Crankshaw, X. Wang, G. Zhou, M. Franklin, J. Gonzalez, and I. Stoica. CoRR, (2016)The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox.D. Crankshaw, P. Bailis, J. Gonzalez, H. Li, Z. Zhang, M. Franklin, A. Ghodsi, and M. Jordan. CIDR, www.cidrdb.org, (2015)Research for practice: prediction-serving systems.D. Crankshaw, J. Gonzalez, and P. Bailis. Commun. ACM, 61 (8): 45-49 (2018)