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TF-Replicator: Distributed Machine Learning for Researchers.

P. Buchlovsky, D. Budden, D. Grewe, C. Jones, J. Aslanides, F. Besse, A. Brock, A. Clark, S. Colmenarejo, A. Pope, F. Viola, and D. Belov. CoRR, (2019)

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Dr. Marie Davidova University of Stuttgart

David Krach University of Stuttgart

Digital Rock Physics : A Geological Driven Workflow for the Segmentation of Anisotropic Ruhr SandstoneM. Balcewicz, M. Siegert, M. Gurris, M. Ruf, D. Krach, H. Steeb, and E. Saenger. Frontiers in Earth Science, (2021)Permeability Estimation of Regular Porous Structures : A Benchmark for Comparison of MethodsA. Wagner, E. Eggenweiler, F. Weinhardt, Z. Trivedi, D. Krach, C. Lohrmann, K. Jain, N. Karadimitriou, C. Bringedal, P. Voland and 4 other author(s). Transport in porous media, 138 (1): 1-23 (2021)Simulation of weak-inertia single-phase flow in porous materials using Smoothed Particle HydrodynamicsD. Krach, and H. Steeb. PAMM, 20 (1): e202000289 (2021)

David Inkermann

David Briesenick University of Stuttgart

David Gudnason University of Stuttgart

Other publications of authors with the same name

A Generalized Framework for Population Based Training.A. Li, O. Spyra, S. Perel, V. Dalibard, M. Jaderberg, C. Gu, D. Budden, T. Harley, and P. Gupta. KDD, page 1791-1799. ACM, (2019)Modular Meta-Learning with Shrinkage.Y. Chen, A. Friesen, F. Behbahani, D. Budden, M. Hoffman, A. Doucet, and N. de Freitas. CoRR, (2019)DeepMind Control Suite.Y. Tassa, Y. Doron, A. Muldal, T. Erez, Y. Li, D. de Las Casas, D. Budden, A. Abdolmaleki, J. Merel, A. Lefrancq and 2 other author(s). CoRR, (2018)Sample Efficient Adaptive Text-to-Speech.Y. Chen, Y. Assael, B. Shillingford, D. Budden, S. Reed, H. Zen, Q. Wang, L. Cobo, A. Trask, B. Laurie and 4 other author(s). CoRR, (2018)TF-Replicator: Distributed Machine Learning for Researchers.P. Buchlovsky, D. Budden, D. Grewe, C. Jones, J. Aslanides, F. Besse, A. Brock, A. Clark, S. Colmenarejo, A. Pope and 2 other author(s). CoRR, (2019)One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL.T. Paine, S. Colmenarejo, Z. Wang, S. Reed, Y. Aytar, T. Pfaff, M. Hoffman, G. Barth-Maron, S. Cabi, D. Budden and 1 other author(s). CoRR, (2018)Distributed Distributional Deterministic Policy Gradients.G. Barth-Maron, M. Hoffman, D. Budden, W. Dabney, D. Horgan, D. TB, A. Muldal, N. Heess, and T. Lillicrap. ICLR (Poster), OpenReview.net, (2018)Observe and Look Further: Achieving Consistent Performance on Atari.T. Pohlen, B. Piot, T. Hester, M. Azar, D. Horgan, D. Budden, G. Barth-Maron, H. van Hasselt, J. Quan, M. Vecerík and 3 other author(s). CoRR, (2018)Unified Scaling Laws for Routed Language Models.A. Clark, D. de Las Casas, A. Guy, A. Mensch, M. Paganini, J. Hoffmann, B. Damoc, B. Hechtman, T. Cai, S. Borgeaud and 16 other author(s). CoRR, (2022)Distributed Prioritized Experience Replay.D. Horgan, J. Quan, D. Budden, G. Barth-Maron, M. Hessel, H. van Hasselt, and D. Silver. ICLR (Poster), OpenReview.net, (2018)

PUMA

Disambiguation of "Budden, David"

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TF-Replicator: Distributed Machine Learning for Researchers.

Please choose a person to relate this publication to

Dr. Marie Davidova University of Stuttgart

David Krach University of Stuttgart

David Inkermann

David Briesenick University of Stuttgart

David Gudnason University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Budden, David"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML TF-Replicator: Distributed Machine Learning for Researchers.

Please choose a person to relate this publication to

Dr. Marie Davidova University of Stuttgart

David Krach University of Stuttgart

David Inkermann

David Briesenick University of Stuttgart

David Gudnason University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

TF-Replicator: Distributed Machine Learning for Researchers.