Michael Isard

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 17

Top Topics

Distributed Constraint Satisfaction Problems

Garbage Collection

Top Venues

Publications

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 (2024)
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) (2024)
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 (2023)
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 (2023)
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)
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 (2022)
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 (2022)
Ionel Gog, Michael Isard, Martín Abadi
Falkirk Wheel: Rollback Recovery for Dataflow Systems. SoCC (2021)
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)
Paul Barham, Michael Isard
Machine Learning Systems are Stuck in a Rut. HotOS (2019)
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 (2018)
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)
Martín Abadi, Michael Isard, Derek Gordon Murray
A computational model for TensorFlow: an introduction. MAPL@PLDI (2017)
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 (2016)
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)
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 (2016)
Derek Gordon Murray, Frank McSherry, Michael Isard, Rebecca Isaacs, Paul Barham, Martín Abadi
Incremental, iterative data processing with timely dataflow. Commun. ACM 59 (10) (2016)
Martín Abadi, Michael Isard
Timely Rollback: Specification and Verification. NFM (2015)
Frank McSherry, Michael Isard, Derek Gordon Murray
Scalability! But at what COST? HotOS (2015)
Martín Abadi, Michael Isard
Timely Dataflow: A Model. FORTE (2015)
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)
Martín Abadi, Michael Isard
On the Flow of Data, Information, and Time. POST (2015)
Michael Isard, Martín Abadi
Falkirk Wheel: Rollback Recovery for Dataflow Systems. CoRR (2015)
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) (2014)
Derek Gordon Murray, Frank McSherry, Rebecca Isaacs, Michael Isard, Paul Barham, Martín Abadi
Naiad: a timely dataflow system. SOSP (2013)
Qifa Ke, Michael Isard, Yuan Yu
Optimus: a dynamic rewriting framework for data-parallel execution plans. EuroSys (2013)
Frank McSherry, Derek Gordon Murray, Rebecca Isaacs, Michael Isard
Differential Dataflow. CIDR (2013)
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) (2012)
Yunchao Gong, Qifa Ke, Michael Isard, Svetlana Lazebnik
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics CoRR (2012)
Derek Gordon Murray, Michael Isard, Yuan Yu
Steno: automatic optimization of declarative queries. PLDI (2011)
Jean-Philippe Martin, Christopher J. Rossbach, Michael Isard
SPECTRE: speculation to hide communication latency. APSys (2011)
Dennis Fetterly, Maya Haridasan, Michael Isard, Swaminathan Sundararaman
TidyFS: A Simple and Small Distributed File System. USENIX Annual Technical Conference (2011)
Martín Abadi, Andrew Birrell, Tim Harris, Michael Isard
Semantics of transactional memory and automatic mutual exclusion. ACM Trans. Program. Lang. Syst. 33 (1) (2011)
David C. Lee, Qifa Ke, Michael Isard
Partition Min-Hash for Partial Duplicate Image Discovery. ECCV (1) (2010)
James Philbin, Michael Isard, Josef Sivic, Andrew Zisserman
Descriptor Learning for Efficient Retrieval. ECCV (3) (2010)
Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky
Nonparametric belief propagation. Commun. ACM 53 (10) (2010)
Martín Abadi, Andrew Birrell, Tim Harris, Johnson Hsieh, Michael Isard
Implementation and Use of Transactional Memory with Dynamic Separation. CC (2009)
Yuan Yu, Pradeep Kumar Gunda, Michael Isard
Distributed aggregation for data-parallel computing: interfaces and implementations. SOSP (2009)
Michael Isard, Yuan Yu
Distributed data-parallel computing using a high-level programming language. SIGMOD Conference (2009)
Zhong Wu, Qifa Ke, Michael Isard, Jian Sun
Bundling features for large scale partial-duplicate web image search. CVPR (2009)
Michael Isard, Vijayan Prabhakaran, Jon Currey, Udi Wieder, Kunal Talwar, Andrew V. Goldberg
Quincy: fair scheduling for distributed computing clusters. SOSP (2009)
Lucian Popa, Mihai Budiu, Yuan Yu, Michael Isard
DryadInc: Reusing Work in Large-scale Computations. HotCloud (2009)
James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman
Lost in quantization: Improving particular object retrieval in large scale image databases. CVPR (2008)
Michael Isard, John MacCormick, Kannan Achan
Continuously-adaptive discretization for message-passing algorithms. NIPS (2008)
Martín Abadi, Andrew Birrell, Tim Harris, Michael Isard
Semantics of transactional memory and automatic mutual exclusion. POPL (2008)
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)
Andrew Birrell, Michael Isard, Chuck Thacker, Ted Wobber
A design for high-performance flash disks. ACM SIGOPS Oper. Syst. Rev. 41 (2) (2007)
James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman
Object retrieval with large vocabularies and fast spatial matching. CVPR (2007)
Michael Isard, Mihai Budiu, Yuan Yu, Andrew Birrell, Dennis Fetterly
Dryad: distributed data-parallel programs from sequential building blocks. EuroSys (2007)
Ondrej Chum, James Philbin, Michael Isard, Andrew Zisserman
Scalable near identical image and shot detection. CIVR (2007)
Michael Isard, Andrew Birrell
Automatic Mutual Exclusion. HotOS (2007)
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)
Michael Isard
Autopilot: automatic data center management. ACM SIGOPS Oper. Syst. Rev. 41 (2) (2007)
Michael Isard, John MacCormick
Dense Motion and Disparity Estimation Via Loopy Belief Propagation. ACCV (2) (2006)
Oliver Williams, Michael Isard, John MacCormick
Estimating Disparity and Occlusions in Stereo Video Sequences. CVPR (2) (2005)
Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michael J. Black, Michael Isard
Tracking Loose-Limbed People. CVPR (1) (2004)
Sidharth Bhatia, Leonid Sigal, Michael Isard, Michael J. Black
3D Human Limb Detection using Space Carving and Multi-View Eigen Models. CVPR Workshops (2004)
Michael Isard
PAMPAS: Real-Valued Graphical Models for Computer Vision. CVPR (1) (2003)
Leonid Sigal, Michael Isard, Benjamin H. Sigelman, Michael J. Black
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation. NIPS (2003)
Michael Isard, Mark Shand, Alan Heirich
Distributed rendering of interactive soft shadows. Parallel Comput. 29 (3) (2003)
Mark Lillibridge, Sameh Elnikety, Andrew Birrell, Michael Burrows, Michael Isard
A Cooperative Internet Backup Scheme. USENIX Annual Technical Conference, General Track (2003)
Jonathan Deutscher, Michael Isard, John MacCormick
Automatic Camera Calibration from a Single Manhattan Image. ECCV (4) (2002)
Michael Isard, Mark Shand, Alan Heirich
Distributed rendering of interactive soft shadows. EGPGV (2002)
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) (2002)
Michael Isard, John MacCormick
BraMBLe: A Bayesian Multiple-Blob Tracker. ICCV (2001)
Josephine Sullivan, Andrew Blake, Michael Isard, John MacCormick
Bayesian Object Localisation in Images. Int. J. Comput. Vis. 44 (2) (2001)
John MacCormick, Michael Isard
Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking. ECCV (2) (2000)
Ben North, Andrew Blake, Michael Isard, Jens Rittscher
Learning and Classification of Complex Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. 22 (9) (2000)
Josephine Sullivan, Andrew Blake, Michael Isard, John MacCormick
Object Localization by Bayesian Correlation. ICCV (1999)
Andrew Blake, Ben North, Michael Isard
Learning Multi-Class Dynamics. NIPS (1998)
Michael Isard, Andrew Blake
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework. ECCV (1) (1998)
Michael Isard, Andrew Blake
A Mixed-State CONDENSATION Tracker with Automatic Model-Switching. ICCV (1998)
Michael Isard, Andrew Blake
CONDENSATION - Conditional Density Propagation for Visual Tracking. Int. J. Comput. Vis. 29 (1) (1998)
Michael Isard, Andrew Blake
A Smoothing Filter for CONDENSATION. ECCV (1) (1998)
Michael Isard, Andrew Blake
Visual tracking and pose recovery for special effects. SIGGRAPH Visual Proceedings (1997)
Michael Isard, Andrew Blake
Contour Tracking by Stochastic Propagation of Conditional Density. ECCV (1) (1996)
Andrew Blake, Michael Isard
The CONDENSATION Algorithm - Conditional Density Propagation and Applications to Visual Tracking. NIPS (1996)
Michael Isard, Andrew Blake
Automatic video tracking by probabilistic propagation. SIGGRAPH Visual Proceedings (1996)
Andrew Blake, Michael Isard, David Reynard
Learning to Track the Visual Motion of Contours. Artif. Intell. 78 (1-2) (1995)
Andrew Blake, Michael Isard
3D position, attitude and shape input using video tracking of hands and lips. SIGGRAPH (1994)