Azalia Mirhoseini

发表

Deep Mixture of Experts via Shallow Embedding

Trevor Darrell, Xin Wang, Fisher Yu, 2018, UAI.

RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets pdf

Farinaz Koushanfar, Richard G. Baraniuk, Azalia Mirhoseini, 2015, ArXiv.

DeLight: Adding Energy Dimension To Deep Neural Networks

Farinaz Koushanfar, Azalia Mirhoseini, Bita Darvish Rouhani, 2016, ISLPED.

Automated Real-Time Analysis of Streaming Big and Dense Data on Reconfigurable Platforms

Farinaz Koushanfar, Azalia Mirhoseini, Ebrahim M. Songhori, 2016, ACM Trans. Reconfigurable Technol. Syst..

TinyDL: Just-in-time deep learning solution for constrained embedded systems

Farinaz Koushanfar, Azalia Mirhoseini, Bita Darvish Rouhani, 2017, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).

CryptoML: Secure outsourcing of big data machine learning applications

Ahmad-Reza Sadeghi, Farinaz Koushanfar, Azalia Mirhoseini, 2016, 2016 IEEE International Symposium on Hardware Oriented Security and Trust (HOST).

Phase Change Memory Write Cost Minimization by Data Encoding

Miodrag Potkonjak, Farinaz Koushanfar, Azalia Mirhoseini, 2015, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Reinforcement Learning Driven Heuristic Optimization pdf

Wei Wei, Azalia Mirhoseini, George Tucker, 2019, ArXiv.

DA systemization of knowledge: A catalog of prior forward-looking initiatives

Gang Qu, Zhiru Zhang, Farinaz Koushanfar, 2015, 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

A Data and Platform-Aware Framework For Large-Scale Machine Learning

Azalia Mirhoseini, 2015 .

Generalized Clustering by Learning to Optimize Expected Normalized Cuts pdf

Azalia Mirhoseini, Azade Nazi, Will Hang, 2019, ArXiv.

Policy Optimization by Local Improvement through Search

Navdeep Jaitly, Azalia Mirhoseini, Ebrahim M. Songhori, 2019 .

FLGUARD: Secure and Private Federated Learning pdf

Samuel Marchal, Azalia Mirhoseini, Markus Miettinen, 2021, ArXiv.

oASIS: Adaptive Column Sampling for Kernel Matrix Approximation pdf

Richard G. Baraniuk, Azalia Mirhoseini, Eva L. Dyer, 2015, ArXiv.

Learning to manage combined energy supply systems

Farinaz Koushanfar, Azalia Mirhoseini, Azalia Mirhoseini, 2011, IEEE/ACM International Symposium on Low Power Electronics and Design.

HypoEnergy. Hybrid supercapacitor-battery power-supply optimization for Energy efficiency

Farinaz Koushanfar, Azalia Mirhoseini, 2011, 2011 Design, Automation & Test in Europe.

RISE: An Automated Framework for Real-Time Intelligent Video Surveillance on FPGA

Farinaz Koushanfar, Azalia Mirhoseini, Bita Darvish Rouhani, 2017, ACM Trans. Embed. Comput. Syst..

A Unified Framework for Multimodal Submodular Integrated Circuits Trojan Detection

Farinaz Koushanfar, Azalia Mirhoseini, Azalia Mirhoseini, 2011, IEEE Transactions on Information Forensics and Security.

Deterministic Column Sampling for Low-Rank Matrix Approximation: Nyström vs. Incomplete Cholesky Decomposition

Richard G. Baraniuk, Tom Goldstein, Azalia Mirhoseini, 2016, SDM.

Phase Change Memory Write Cost Minimization

Miodrag Potkonjak, Farinaz Koushanfar, Azalia Mirhoseini, 2015 .

A Single-Shot Generalized Device Placement for Large Dataflow Graphs

Azalia Mirhoseini, James Laudon, Yanqi Zhou, 2020, IEEE Micro.

TPO: TREE SEARCH POLICY OPTIMIZATION FOR CONTINUOUS ACTION SPACES

Azalia Mirhoseini, Ebrahim M. Songhori, Amir Yazdanbakhsh, 2019 .

RankMap: A Framework for Distributed Learning From Dense Data Sets

Farinaz Koushanfar, Azalia Mirhoseini, Eva L. Dyer, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Perform-ML: Performance optimized machine learning by platform and content aware customization

Farinaz Koushanfar, Azalia Mirhoseini, Ebrahim M. Songhori, 2016, 2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC).

Coding for Phase Change Memory Performance Optimization

Azalia Mirhoseini, 2012 .

Efficient Imitation Learning with Local Trajectory Optimization

Navdeep Jaitly, Azalia Mirhoseini, Ebrahim M. Songhori, 2020 .

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer pdf

Geoffrey E. Hinton, Quoc V. Le, Azalia Mirhoseini, 2017, ICLR.

Placement Optimization with Deep Reinforcement Learning

Azalia Mirhoseini, Anna Goldie, Azalia Mirhoseini, 2020, ISPD.

Automated checkpointing for enabling intensive applications on energy harvesting devices

Farinaz Koushanfar, Azalia Mirhoseini, Ebrahim M. Songhori, 2013, International Symposium on Low Power Electronics and Design (ISLPED).

ExtDict: Extensible Dictionaries for Data- and Platform-Aware Large-Scale Learning

Farinaz Koushanfar, Azalia Mirhoseini, Ebrahim M. Songhori, 2017, 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Introduction to ParLearning 2018

Henri E. Bal, Thomas P. Parnell, Azalia Mirhoseini, 2018, 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Chip Placement with Deep Reinforcement Learning pdf

Quoc V. Le, Eric Johnson, Jiwoo Pak, 2020, ArXiv.

Hybrid heterogeneous energy supply networks

Farinaz Koushanfar, Azalia Mirhoseini, 2011, 2011 IEEE International Symposium of Circuits and Systems (ISCAS).

Idetic: A high-level synthesis approach for enabling long computations on transiently-powered ASICs

Farinaz Koushanfar, Azalia Mirhoseini, Ebrahim M. Songhori, 2013, 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom).

Transferable Graph Optimizers for ML Compilers pdf

Azalia Mirhoseini, Hanxiao Liu, James Laudon, 2020, NeurIPS.

A Unified Framework for Multimodal IC Trojan Detection

Farinaz Koushanfar, Azalia Mirhoseini, Yousra Alkabani, 2010 .

Hierarchical Planning for Device Placement

Quoc V. Le, Azalia Mirhoseini, Hieu Pham, 2018 .

AHEAD: Automated framework for hardware accelerated iterative data analysis

Farinaz Koushanfar, Azalia Mirhoseini, Ebrahim M. Songhori, 2015, 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Flexible Transformations For Learning Big Data

Farinaz Koushanfar, Azalia Mirhoseini, Ebrahim M. Songhori, 2015, SIGMETRICS.

A Unified Submodular Framework for Multimodal IC Trojan Detection

Farinaz Koushanfar, Azalia Mirhoseini, Yousra Alkabani, 2010, Information Hiding.

Automated Analysis of Streaming Big and Dense Data on Reconfigurable Platforms

Farinaz Koushanfar, Azalia Mirhoseini, Ebrahim M. Songhori, 2018 .

Device Placement Optimization with Reinforcement Learning

Samy Bengio, Naveen Kumar, Quoc V. Le, 2017, ICML.

GDP: Generalized Device Placement for Dataflow Graphs pdf

Azalia Mirhoseini, Hanxiao Liu, Sudip Roy, 2019, ArXiv.

A Hierarchical Model for Device Placement

Quoc V. Le, Azalia Mirhoseini, Hieu Pham, 2018, ICLR.

GAP: Generalizable Approximate Graph Partitioning Framework pdf

Azalia Mirhoseini, Sujith Ravi, Azade Nazi, 2019, ArXiv.

Coding-based energy minimization for Phase Change Memory

Miodrag Potkonjak, Farinaz Koushanfar, Azalia Mirhoseini, 2012, DAC Design Automation Conference 2012.

ParLearning 2018 Invited Talk 2

Azalia Mirhoseini, 2018, 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Chime: Checkpointing Long Computations on Interm ittently Energized IoT Devices

Farinaz Koushanfar, Azalia Mirhoseini, Ebrahim M. Songhori, 2016, IEEE Transactions on Multi-Scale Computing Systems.

SSketch: An Automated Framework for Streaming Sketch-Based Analysis of Big Data on FPGA

Farinaz Koushanfar, Azalia Mirhoseini, Ebrahim M. Songhori, 2015, 2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines.

Deep3: Leveraging three levels of parallelism for efficient Deep Learning

Farinaz Koushanfar, Azalia Mirhoseini, Bita Darvish Rouhani, 2017, 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC).

Going deeper than deep learning for massive data analytics under physical constraints

Farinaz Koushanfar, Azalia Mirhoseini, Bita Darvish Rouhani, 2016, 2016 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).

Real time emulations: Foundation and applications

Farinaz Koushanfar, Azalia Mirhoseini, Yousra Alkabani, 2010, Design Automation Conference.

Representing Long-Range Context for Graph Neural Networks with Global Attention

Azalia Mirhoseini, Matthew A. Wright, Zhanghao Wu, 2022, NeurIPS.

A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators

Dan Zhang, Azalia Mirhoseini, Anna Goldie, 2021 .

A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules pdf

Azalia Mirhoseini, Xinfeng Xie, James Laudon, 2021, MLSys.

Reinforcement Learning for Placement Optimization

Azalia Mirhoseini, Anna Goldie, 2021, ISPD.

Delving into Macro Placement with Reinforcement Learning

Azalia Mirhoseini, Ebrahim M. Songhori, Zixuan Jiang, 2021, 2021 ACM/IEEE 3rd Workshop on Machine Learning for CAD (MLCAD).

FLGUARD: Secure and Private Federated Learning

Ahmad-Reza Sadeghi, Samuel Marchal, Azalia Mirhoseini, 2021, IACR Cryptol. ePrint Arch..

A Full-stack Accelerator Search Technique for Vision Applications pdf

Dan Zhang, Azalia Mirhoseini, Ebrahim M. Songhori, 2021, ArXiv.

SAFELearn: Secure Aggregation for private FEderated Learning

Ahmad-Reza Sadeghi, Samuel Marchal, Azalia Mirhoseini, 2021, 2021 IEEE Security and Privacy Workshops (SPW).

FLAME: Taming Backdoors in Federated Learning

Ahmad-Reza Sadeghi, Farinaz Koushanfar, Samuel Marchal, 2022, USENIX Security Symposium.

Chime : Ch eckpointing long computations on i nter m ittently e nergized IoT devices

Farinaz Koushanfar, Azalia Mirhoseini, Bita Darvish Rouhani, 2016 .