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Michael Isard
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2020 – today
- 2024
- [j15]Martin Maas, David G. Andersen, Michael Isard, Mohammad Mahdi Javanmard, Kathryn S. McKinley, Colin Raffel:
Combining Machine Learning and Lifetime-Based Resource Management for Memory Allocation and Beyond. Commun. ACM 67(4): 87-96 (2024) - [i9]Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, et al.:
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. CoRR abs/2403.05530 (2024) - 2023
- [j14]Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24: 240:1-240:113 (2023) - [i8]Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy P. Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul Ronald Barham, Tom Hennigan, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, Ryan Doherty, Eli Collins, Clemens Meyer, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, et al.:
Gemini: A Family of Highly Capable Multimodal Models. CoRR abs/2312.11805 (2023) - 2022
- [c56]Paul Barham, Aakanksha Chowdhery, Jeff Dean, Sanjay Ghemawat, Steven Hand, Dan Hurt, Michael Isard, Hyeontaek Lim, Ruoming Pang, Sudip Roy, Brennan Saeta, Parker Schuh, Ryan Sepassi, Laurent El Shafey, Chandramohan A. Thekkath, Yonghui Wu:
Pathways: Asynchronous Distributed Dataflow for ML. MLSys 2022 - [i7]Paul Barham, Aakanksha Chowdhery, Jeff Dean, Sanjay Ghemawat, Steven Hand, Dan Hurt, Michael Isard, Hyeontaek Lim, Ruoming Pang, Sudip Roy, Brennan Saeta, Parker Schuh, Ryan Sepassi, Laurent El Shafey, Chandramohan A. Thekkath, Yonghui Wu:
Pathways: Asynchronous Distributed Dataflow for ML. CoRR abs/2203.12533 (2022) - [i6]Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. CoRR abs/2204.02311 (2022) - 2021
- [c55]Ionel Gog, Michael Isard, Martín Abadi:
Falkirk Wheel: Rollback Recovery for Dataflow Systems. SoCC 2021: 373-387 - 2020
- [c54]Martin Maas, David G. Andersen, Michael Isard, Mohammad Mahdi Javanmard, Kathryn S. McKinley, Colin Raffel:
Learning-based Memory Allocation for C++ Server Workloads. ASPLOS 2020: 541-556
2010 – 2019
- 2019
- [c53]Paul Barham, Michael Isard:
Machine Learning Systems are Stuck in a Rut. HotOS 2019: 177-183 - 2018
- [c52]Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Gordon Murray, Xiaoqiang Zheng:
Dynamic control flow in large-scale machine learning. EuroSys 2018: 18:1-18:15 - [i5]Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Gordon Murray, Xiaoqiang Zheng:
Dynamic Control Flow in Large-Scale Machine Learning. CoRR abs/1805.01772 (2018) - 2017
- [c51]Martín Abadi, Michael Isard, Derek Gordon Murray:
A computational model for TensorFlow: an introduction. MAPL@PLDI 2017: 1-7 - 2016
- [j13]Derek Gordon Murray, Frank McSherry, Michael Isard, Rebecca Isaacs, Paul Barham, Martín Abadi:
Incremental, iterative data processing with timely dataflow. Commun. ACM 59(10): 75-83 (2016) - [c50]Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng:
TensorFlow: A System for Large-Scale Machine Learning. OSDI 2016: 265-283 - [i4]Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng:
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR abs/1603.04467 (2016) - [i3]Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zhang:
TensorFlow: A system for large-scale machine learning. CoRR abs/1605.08695 (2016) - 2015
- [c49]Martín Abadi, Michael Isard:
Timely Dataflow: A Model. FORTE 2015: 131-145 - [c48]Ionel Gog, Jana Giceva, Malte Schwarzkopf, Kapil Vaswani, Dimitrios Vytiniotis, Ganesan Ramalingam, Manuel Costa, Derek Gordon Murray, Steven Hand, Michael Isard:
Broom: Sweeping Out Garbage Collection from Big Data Systems. HotOS 2015 - [c47]Frank McSherry, Michael Isard, Derek Gordon Murray:
Scalability! But at what COST? HotOS 2015 - [c46]Martín Abadi, Michael Isard:
Timely Rollback: Specification and Verification. NFM 2015: 19-34 - [c45]Martín Abadi, Michael Isard:
On the Flow of Data, Information, and Time. POST 2015: 73-92 - [i2]Michael Isard, Martín Abadi:
Falkirk Wheel: Rollback Recovery for Dataflow Systems. CoRR abs/1503.08877 (2015) - 2014
- [j12]Yunchao Gong, Qifa Ke, Michael Isard, Svetlana Lazebnik:
A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics. Int. J. Comput. Vis. 106(2): 210-233 (2014) - 2013
- [c44]Frank McSherry, Derek Gordon Murray, Rebecca Isaacs, Michael Isard:
Differential Dataflow. CIDR 2013 - [c43]Qifa Ke, Michael Isard, Yuan Yu:
Optimus: a dynamic rewriting framework for data-parallel execution plans. EuroSys 2013: 15-28 - [c42]Derek Gordon Murray, Frank McSherry, Rebecca Isaacs, Michael Isard, Paul Barham, Martín Abadi:
Naiad: a timely dataflow system. SOSP 2013: 439-455 - 2012
- [j11]Leonid Sigal, Michael Isard, Horst W. Haussecker, Michael J. Black:
Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation. Int. J. Comput. Vis. 98(1): 15-48 (2012) - [i1]Yunchao Gong, Qifa Ke, Michael Isard, Svetlana Lazebnik:
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics. CoRR abs/1212.4522 (2012) - 2011
- [j10]Martín Abadi, Andrew Birrell, Tim Harris, Michael Isard:
Semantics of transactional memory and automatic mutual exclusion. ACM Trans. Program. Lang. Syst. 33(1): 2:1-2:50 (2011) - [c41]Jean-Philippe Martin, Christopher J. Rossbach, Michael Isard:
SPECTRE: speculation to hide communication latency. APSys 2011: 18 - [c40]Derek Gordon Murray, Michael Isard, Yuan Yu:
Steno: automatic optimization of declarative queries. PLDI 2011: 121-131 - [c39]Dennis Fetterly, Maya Haridasan, Michael Isard, Swaminathan Sundararaman:
TidyFS: A Simple and Small Distributed File System. USENIX ATC 2011 - 2010
- [j9]Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky:
Nonparametric belief propagation. Commun. ACM 53(10): 95-103 (2010) - [c38]David C. Lee, Qifa Ke, Michael Isard:
Partition Min-Hash for Partial Duplicate Image Discovery. ECCV (1) 2010: 648-662 - [c37]James Philbin, Michael Isard, Josef Sivic, Andrew Zisserman:
Descriptor Learning for Efficient Retrieval. ECCV (3) 2010: 677-691
2000 – 2009
- 2009
- [c36]Martín Abadi, Andrew Birrell, Tim Harris, Johnson Hsieh, Michael Isard:
Implementation and Use of Transactional Memory with Dynamic Separation. CC 2009: 63-77 - [c35]Zhong Wu, Qifa Ke, Michael Isard, Jian Sun:
Bundling features for large scale partial-duplicate web image search. CVPR 2009: 25-32 - [c34]Lucian Popa, Mihai Budiu, Yuan Yu, Michael Isard:
DryadInc: Reusing Work in Large-scale Computations. HotCloud 2009 - [c33]Michael Isard, Yuan Yu:
Distributed data-parallel computing using a high-level programming language. SIGMOD Conference 2009: 987-994 - [c32]Yuan Yu, Pradeep Kumar Gunda, Michael Isard:
Distributed aggregation for data-parallel computing: interfaces and implementations. SOSP 2009: 247-260 - [c31]Michael Isard, Vijayan Prabhakaran, Jon Currey, Udi Wieder, Kunal Talwar, Andrew V. Goldberg:
Quincy: fair scheduling for distributed computing clusters. SOSP 2009: 261-276 - 2008
- [c30]James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman:
Lost in quantization: Improving particular object retrieval in large scale image databases. CVPR 2008 - [c29]Michael Isard, John MacCormick, Kannan Achan:
Continuously-adaptive discretization for message-passing algorithms. NIPS 2008: 737-744 - [c28]Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Budiu, Úlfar Erlingsson, Pradeep Kumar Gunda, Jon Currey:
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language. OSDI 2008: 1-14 - [c27]Martín Abadi, Andrew Birrell, Tim Harris, Michael Isard:
Semantics of transactional memory and automatic mutual exclusion. POPL 2008: 63-74 - 2007
- [j8]Michael Isard:
Autopilot: automatic data center management. ACM SIGOPS Oper. Syst. Rev. 41(2): 60-67 (2007) - [j7]Andrew Birrell, Michael Isard, Chuck Thacker, Ted Wobber:
A design for high-performance flash disks. ACM SIGOPS Oper. Syst. Rev. 41(2): 88-93 (2007) - [c26]Ondrej Chum, James Philbin, Michael Isard, Andrew Zisserman:
Scalable near identical image and shot detection. CIVR 2007: 549-556 - [c25]James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman:
Object retrieval with large vocabularies and fast spatial matching. CVPR 2007 - [c24]Michael Isard, Mihai Budiu, Yuan Yu, Andrew Birrell, Dennis Fetterly:
Dryad: distributed data-parallel programs from sequential building blocks. EuroSys 2007: 59-72 - [c23]Michael Isard, Andrew Birrell:
Automatic Mutual Exclusion. HotOS 2007 - [c22]Ondrej Chum, James Philbin, Josef Sivic, Michael Isard, Andrew Zisserman:
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval. ICCV 2007: 1-8 - 2006
- [c21]Michael Isard, John MacCormick:
Dense Motion and Disparity Estimation Via Loopy Belief Propagation. ACCV (2) 2006: 32-41 - 2005
- [c20]Oliver Williams, Michael Isard, John MacCormick:
Estimating Disparity and Occlusions in Stereo Video Sequences. CVPR (2) 2005: 250-257 - 2004
- [c19]Sidharth Bhatia, Leonid Sigal, Michael Isard, Michael J. Black:
3D Human Limb Detection using Space Carving and Multi-View Eigen Models. CVPR Workshops 2004: 17 - [c18]Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michael J. Black, Michael Isard:
Tracking Loose-Limbed People. CVPR (1) 2004: 421-428 - 2003
- [j6]Michael Isard, Mark Shand, Alan Heirich:
Distributed rendering of interactive soft shadows. Parallel Comput. 29(3): 311-323 (2003) - [c17]Michael Isard:
PAMPAS: Real-Valued Graphical Models for Computer Vision. CVPR (1) 2003: 613-620 - [c16]Leonid Sigal, Michael Isard, Benjamin H. Sigelman, Michael J. Black:
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation. NIPS 2003: 1539-1546 - [c15]Mark Lillibridge, Sameh Elnikety, Andrew Birrell, Michael Burrows, Michael Isard:
A Cooperative Internet Backup Scheme. USENIX ATC, General Track 2003: 29-41 - 2002
- [j5]Pankaj K. Agarwal, Leonidas J. Guibas, Herbert Edelsbrunner, Jeff Erickson, Michael Isard, Sariel Har-Peled, John Hershberger, Christian S. Jensen, Lydia E. Kavraki, Patrice Koehl, Ming C. Lin, Dinesh Manocha, Dimitris N. Metaxas, Brian Mirtich, David M. Mount, S. Muthukrishnan, Dinesh K. Pai, Elisha Sacks, Jack Snoeyink, Subhash Suri, Ouri Wolfson:
Algorithmic issues in modeling motion. ACM Comput. Surv. 34(4): 550-572 (2002) - [c14]Jonathan Deutscher, Michael Isard, John MacCormick:
Automatic Camera Calibration from a Single Manhattan Image. ECCV (4) 2002: 175-205 - [c13]Michael Isard, Mark Shand, Alan Heirich:
Distributed rendering of interactive soft shadows. EGPGV 2002: 71-76 - 2001
- [j4]Josephine Sullivan, Andrew Blake, Michael Isard, John MacCormick:
Bayesian Object Localisation in Images. Int. J. Comput. Vis. 44(2): 111-135 (2001) - [c12]Michael Isard, John MacCormick:
BraMBLe: A Bayesian Multiple-Blob Tracker. ICCV 2001: 34-41 - [p1]Andrew Blake, Michael Isard, John MacCormick:
Statistical Models of Visual Shape and Motion. Sequential Monte Carlo Methods in Practice 2001: 339-357 - 2000
- [j3]Ben North, Andrew Blake, Michael Isard, Jens Rittscher:
Learning and Classification of Complex Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. 22(9): 1016-1034 (2000) - [c11]John MacCormick, Michael Isard:
Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking. ECCV (2) 2000: 3-19
1990 – 1999
- 1999
- [c10]Josephine Sullivan, Andrew Blake, Michael Isard, John MacCormick:
Object Localization by Bayesian Correlation. ICCV 1999: 1068-1075 - 1998
- [b1]Andrew Blake, Michael Isard:
Active contours - the application of techniques from graphics, vision, control theory and statistics to visual tracking of shapes in motion. Springer 1998, ISBN 978-3-540-76217-1, pp. I-XII, 1-352 - [j2]Michael Isard, Andrew Blake:
CONDENSATION - Conditional Density Propagation for Visual Tracking. Int. J. Comput. Vis. 29(1): 5-28 (1998) - [c9]Michael Isard, Andrew Blake:
A Smoothing Filter for CONDENSATION. ECCV (1) 1998: 767-781 - [c8]Michael Isard, Andrew Blake:
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework. ECCV (1) 1998: 893-908 - [c7]Michael Isard, Andrew Blake:
A Mixed-State CONDENSATION Tracker with Automatic Model-Switching. ICCV 1998: 107-112 - [c6]Andrew Blake, Ben North, Michael Isard:
Learning Multi-Class Dynamics. NIPS 1998: 389-395 - 1997
- [c5]Michael Isard, Andrew Blake:
Visual tracking and pose recovery for special effects. SIGGRAPH Visual Proceedings 1997: 224 - 1996
- [c4]Michael Isard, Andrew Blake:
Contour Tracking by Stochastic Propagation of Conditional Density. ECCV (1) 1996: 343-356 - [c3]Andrew Blake, Michael Isard:
The CONDENSATION Algorithm - Conditional Density Propagation and Applications to Visual Tracking. NIPS 1996: 361-367 - [c2]Michael Isard, Andrew Blake:
Automatic video tracking by probabilistic propagation. SIGGRAPH Visual Proceedings 1996: 139 - 1995
- [j1]Andrew Blake, Michael Isard, David Reynard:
Learning to Track the Visual Motion of Contours. Artif. Intell. 78(1-2): 179-212 (1995) - 1994
- [c1]Andrew Blake, Michael Isard:
3D position, attitude and shape input using video tracking of hands and lips. SIGGRAPH 1994: 185-192
Coauthor Index
aka: Paul Ronald Barham
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