Azalia Mirhoseini

99 papers A* 15A 9C 2Misc 2Journal 57Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI+HW 2035: Shaping the Next Decade. CoRR Deming Chen, Jason Cong, Azalia Mirhoseini, Christos Kozyrakis, Subhasish Mitra, Jinjun Xiong, Cliff Young, Anima Anandkumar, Michael L. Littman, Aron Kirschen, Sophia Shao, Serge Leef, Naresh R. Shanbhag, Dejan S. Milojicic, Michael Schulte, Gert Cauwenberghs, Jerry M. Chow, Tri Dao, Kailash Gopalakrishnan, Richard Ho, Hoshik Kim, Kunle Olukotun, David Z. Pan, Mark Ren, Dan Roth, Aarti Singh, Yizhou Sun, Yusu Wang, Yann LeCun, Ruchir Puri
2026	J	`jnl`	Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment. CoRR Jacky Kwok, Xilun Zhang, Mengdi Xu, Yuejiang Liu, Azalia Mirhoseini, Chelsea Finn, Marco Pavone
2025	A*	`conf`	An Architecture Search Framework for Inference-Time Techniques. ICML Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Kumar Guha, Estefany Kelly Buchanan, Mayee F. Chen, Neel Guha, Christopher Ré, Azalia Mirhoseini
2025	J	`jnl`	Astra: A Multi-Agent System for GPU Kernel Performance Optimization. CoRR Anjiang Wei, Tianran Sun, Yogesh Seenichamy, Hang Song, Anne Ouyang, Azalia Mirhoseini, Ke Wang, Alex Aiken
2025	J	`jnl`	Cartridges: Lightweight and general-purpose long context representations via self-study. CoRR Sabri Eyuboglu, Ryan Ehrlich, Simran Arora, Neel Guha, Dylan Zinsley, Emily Liu, Will Tennien, Atri Rudra, James Zou, Azalia Mirhoseini, Christopher Ré
2025	J	`jnl`	CodeMonkeys: Scaling Test-Time Compute for Software Engineering. CoRR Ryan Ehrlich, Bradley C. A. Brown, Jordan Juravsky, Ronald Clark, Christopher Ré, Azalia Mirhoseini
2025	J	`jnl`	Exploring Diffusion Transformer Designs via Grafting. CoRR Keshigeyan Chandrasegaran, Michael Poli, Daniel Y. Fu, Dongjun Kim, Lea M. Hadzic, Manling Li, Agrim Gupta, Stefano Massaroli, Azalia Mirhoseini, Juan Carlos Niebles, Stefano Ermon, Li Fei-Fei
2025	J	`jnl`	ForTIFAI: Fending Off Recursive Training Induced Failure for AI Models. CoRR Soheil Zibakhsh Shabgahi, Pedram Aghazadeh, Azalia Mirhoseini, Farinaz Koushanfar
2025	A*	`conf`	How Do Large Language Monkeys Get Their Power (Laws)? ICML Rylan Schaeffer, Joshua Kazdan, John Hughes, Jordan Juravsky, Sara Price, Aengus Lynch, Erik Jones, Robert Kirk, Azalia Mirhoseini, Sanmi Koyejo
2025	J	`jnl`	How Do Large Language Monkeys Get Their Power (Laws)? CoRR Rylan Schaeffer, Joshua Kazdan, John Hughes, Jordan Juravsky, Sara Price, Aengus Lynch, Erik Jones, Robert Kirk, Azalia Mirhoseini, Sanmi Koyejo
2025	J	`jnl`	Intelligence per Watt: Measuring Intelligence Efficiency of Local AI. CoRR Jon Saad-Falcon, Avanika Narayan, Hakki Orhun Akengin, J. Wes Griffin, Herumb Shandilya, Adrian Gamarra Lafuente, Medhya Goel, Rebecca Joseph, Shlok Natarajan, Etash Kumar Guha, Shang Zhu, Ben Athiwaratkun, John Hennessy, Azalia Mirhoseini, Christopher Ré
2025	A*	`conf`	KernelBench: Can LLMs Write Efficient GPU Kernels? ICML Anne Ouyang, Simon Guo, Simran Arora, Alex L. Zhang, William Hu, Christopher Ré, Azalia Mirhoseini
2025	J	`jnl`	KernelBench: Can LLMs Write Efficient GPU Kernels? CoRR Anne Ouyang, Simon Guo, Simran Arora, Alex L. Zhang, William Hu, Christopher Ré, Azalia Mirhoseini
2025	J	`jnl`	On the Role of Temperature Sampling in Test-Time Scaling. CoRR Yuheng Wu, Azalia Mirhoseini, Thierry Tambe
2025	J	`jnl`	Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL. CoRR Mohammadreza Pourreza, Shayan Talaei, Ruoxi Sun, Xingchen Wan, Hailong Li, Azalia Mirhoseini, Amin Saberi, Sercan Ö. Arik
2025	J	`jnl`	RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models. CoRR Jacky Kwok, Christopher Agia, Rohan Sinha, Matthew Foutter, Shulu Li, Ion Stoica, Azalia Mirhoseini, Marco Pavone
2025	J	`jnl`	SPRINT: Enabling Interleaved Planning and Parallelized Execution in Reasoning Models. CoRR Emil Biju, Shayan Talaei, Zhemin Huang, Mohammadreza Pourreza, Azalia Mirhoseini, Amin Saberi
2025	J	`jnl`	Shrinking the Generation-Verification Gap with Weak Verifiers. CoRR Jon Saad-Falcon, Estefany Kelly Buchanan, Mayee F. Chen, Tzu-Heng Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott W. Linderman, Azalia Mirhoseini, Christopher Ré
2025	J	`jnl`	Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use. CoRR Anna Goldie, Azalia Mirhoseini, Hao Zhou, Irene Cai, Christopher D. Manning
2025	J	`jnl`	Think, Prune, Train, Improve: Scaling Reasoning without Scaling Models. CoRR Caia Costello, Simon Guo, Anna Goldie, Azalia Mirhoseini
2025	J	`jnl`	Training of physical neural networks. Nat. Ali Momeni, Babak Rahmani, Benjamin Scellier, Logan G. Wright, Peter L. McMahon, Clara C. Wanjura, Yuhang Li, Anas Skalli, Natalia G. Berloff, Tatsuhiro Onodera, Ilker Oguz, Francesco Morichetti, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury
2024	J	`jnl`	Archon: An Architecture Search Framework for Inference-Time Techniques. CoRR Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Kumar Guha, Estefany Kelly Buchanan, Mayee F. Chen, Neel Guha, Christopher Ré, Azalia Mirhoseini
2024	J	`jnl`	CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models. CoRR Je-Yong Lee, Donghyun Lee, Genghan Zhang, Mo Tiwari, Azalia Mirhoseini
2024	J	`jnl`	CHESS: Contextual Harnessing for Efficient SQL Synthesis. CoRR Shayan Talaei, Mohammadreza Pourreza, Yu-Chen Chang, Azalia Mirhoseini, Amin Saberi
2024	J	`jnl`	Hydragen: High-Throughput LLM Inference with Shared Prefixes. CoRR Jordan Juravsky, Bradley C. A. Brown, Ryan Ehrlich, Daniel Y. Fu, Christopher Ré, Azalia Mirhoseini
2024	J	`jnl`	Large Language Monkeys: Scaling Inference Compute with Repeated Sampling. CoRR Bradley C. A. Brown, Jordan Juravsky, Ryan Ehrlich, Ronald Clark, Quoc V. Le, Christopher Ré, Azalia Mirhoseini
2024	J	`jnl`	That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design. CoRR Anna Goldie, Azalia Mirhoseini, Jeff Dean
2024	J	`jnl`	Training of Physical Neural Networks. CoRR Ali Momeni, Babak Rahmani, Benjamin Scellier, Logan G. Wright, Peter L. McMahon, Clara C. Wanjura, Yuhang Li, Anas Skalli, Natalia G. Berloff, Tatsuhiro Onodera, Ilker Oguz, Francesco Morichetti, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury
2023	A*	`conf`	Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. NeurIPS Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré
2023	J	`jnl`	Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. CoRR Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré
2023	J	`jnl`	Specific versus General Principles for Constitutional AI. CoRR Sandipan Kundu, Yuntao Bai, Saurav Kadavath, Amanda Askell, Andrew Callahan, Anna Chen, Anna Goldie, Avital Balwit, Azalia Mirhoseini, Brayden McLean, Catherine Olsson, Cassie Evraets, Eli Tran-Johnson, Esin Durmus, Ethan Perez, Jackson Kernion, Jamie Kerr, Kamal Ndousse, Karina Nguyen, Nelson Elhage, Newton Cheng, Nicholas Schiefer, Nova DasSarma, Oliver Rausch, Robin Larson, Shannon Yang, Shauna Kravec, Timothy Telleen-Lawton, Thomas I. Liao, Tom Henighan, Tristan Hume, Zac Hatfield-Dodds, Sören Mindermann, Nicholas Joseph, Sam McCandlish, Jared Kaplan
2023	J	`jnl`	The Capacity for Moral Self-Correction in Large Language Models. CoRR Deep Ganguli, Amanda Askell, Nicholas Schiefer, Thomas I. Liao, Kamile Lukosiute, Anna Chen, Anna Goldie, Azalia Mirhoseini, Catherine Olsson, Danny Hernandez, Dawn Drain, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jackson Kernion, Jamie Kerr, Jared Mueller, Joshua Landau, Kamal Ndousse, Karina Nguyen, Liane Lovitt, Michael Sellitto, Nelson Elhage, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robert Lasenby, Robin Larson, Sam Ringer, Sandipan Kundu, Saurav Kadavath, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, Christopher Olah, Jack Clark, Samuel R. Bowman, Jared Kaplan
2022	—	`conf`	A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. MLSys Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
2022	A*	`conf`	A full-stack search technique for domain optimized deep learning accelerators. ASPLOS Dan Zhang, Safeen Huda, Ebrahim M. Songhori, Kartik Prabhu, Quoc V. Le, Anna Goldie, Azalia Mirhoseini
2022	J	`jnl`	Constitutional AI: Harmlessness from AI Feedback. CoRR Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, Jackson Kernion, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, Carol Chen, Catherine Olsson, Christopher Olah, Danny Hernandez, Dawn Drain, Deep Ganguli, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jamie Kerr, Jared Mueller, Jeffrey Ladish, Joshua Landau, Kamal Ndousse, Kamile Lukosiute, Liane Lovitt, Michael Sellitto, Nelson Elhage, Nicholas Schiefer, Noemí Mercado, Nova DasSarma, Robert Lasenby, Robin Larson, Sam Ringer, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Tamera Lanham, Timothy Telleen-Lawton, Tom Conerly, Tom Henighan, Tristan Hume, Samuel R. Bowman, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, Jared Kaplan
2022	A*	`conf`	FLAME: Taming Backdoors in Federated Learning. USENIX Security Symposium Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider
2022	A	`conf`	Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers. DATE Paras Jain, Safeen Huda, Martin Maas, Joseph E. Gonzalez, Ion Stoica, Azalia Mirhoseini
2022	J	`jnl`	Measuring Progress on Scalable Oversight for Large Language Models. CoRR Samuel R. Bowman, Jeeyoon Hyun, Ethan Perez, Edwin Chen, Craig Pettit, Scott Heiner, Kamile Lukosiute, Amanda Askell, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, Christopher Olah, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Jackson Kernion, Jamie Kerr, Jared Mueller, Jeffrey Ladish, Joshua Landau, Kamal Ndousse, Liane Lovitt, Nelson Elhage, Nicholas Schiefer, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Robin Larson, Sam McCandlish, Sandipan Kundu, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Ben Mann, Jared Kaplan
2022	—	`conf`	Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper). ASP-DAC Ahmet Faruk Budak, Zixuan Jiang, Keren Zhu, Azalia Mirhoseini, Anna Goldie, David Z. Pan
2022	J	`jnl`	Representing Long-Range Context for Graph Neural Networks with Global Attention. CoRR Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica
2022	—	`conf`	Scalability and Generalization of Circuit Training for Chip Floorplanning. ISPD Summer Yue, Ebrahim M. Songhori, Joe Wenjie Jiang, Toby Boyd, Anna Goldie, Azalia Mirhoseini, Sergio Guadarrama
2021	J	`jnl`	A Full-stack Accelerator Search Technique for Vision Applications. CoRR Dan Zhang, Safeen Huda, Ebrahim M. Songhori, Quoc V. Le, Anna Goldie, Azalia Mirhoseini
2021	J	`jnl`	A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. CoRR Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
2021	J	`jnl`	A graph placement methodology for fast chip design. Nat. Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan, Joe Wenjie Jiang, Ebrahim M. Songhori, Shen Wang, Young-Joon Lee, Eric Johnson, Omkar Pathak, Azade Nazi, Jiwoo Pak, Andy Tong, Kavya Srinivasa, William Hang, Emre Tuncer, Quoc V. Le, James Laudon, Richard Ho, Roger Carpenter, Jeff Dean
2021	—	`conf`	Delving into Macro Placement with Reinforcement Learning. MLCAD Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan
2021	J	`jnl`	Delving into Macro Placement with Reinforcement Learning. CoRR Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan
2021	J	`jnl`	FLGUARD: Secure and Private Federated Learning. CoRR Thien Duc Nguyen, Phillip Rieger, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Ahmad-Reza Sadeghi, Thomas Schneider, Shaza Zeitouni
2021	J	`jnl`	FLGUARD: Secure and Private Federated Learning. IACR Cryptol. ePrint Arch. Thien Duc Nguyen, Phillip Rieger, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Ahmad-Reza Sadeghi, Thomas Schneider, Shaza Zeitouni
2021	—	`conf`	Reinforcement Learning for Placement Optimization. ISPD Anna Goldie, Azalia Mirhoseini
2021	A*	`conf`	Representing Long-Range Context for Graph Neural Networks with Global Attention. NeurIPS Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica
2021	—	`conf`	SAFELearn: Secure Aggregation for private FEderated Learning. SP (Workshops) Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Helen Möllering, Thien Duc Nguyen, Phillip Rieger, Ahmad-Reza Sadeghi, Thomas Schneider, Hossein Yalame, Shaza Zeitouni
2021	J	`jnl`	SAFELearn: Secure Aggregation for private FEderated Learning. IACR Cryptol. ePrint Arch. Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Helen Möllering, Thien Duc Nguyen, Phillip Rieger, Ahmad-Reza Sadeghi, Thomas Schneider, Hossein Yalame, Shaza Zeitouni
2020	J	`jnl`	A Single-Shot Generalized Device Placement for Large Dataflow Graphs. IEEE Micro Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Azalia Mirhoseini, James Laudon
2020	J	`jnl`	Chip Placement with Deep Reinforcement Learning. CoRR Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan, Joe W. J. Jiang, Ebrahim M. Songhori, Shen Wang, Young-Joon Lee, Eric Johnson, Omkar Pathak, Sungmin Bae, Azade Nazi, Jiwoo Pak, Andy Tong, Kavya Srinivasa, William Hang, Emre Tuncer, Anand Babu, Quoc V. Le, James Laudon, Richard Ho, Roger Carpenter, Jeff Dean
2020	—	`conf`	Placement Optimization with Deep Reinforcement Learning. ISPD Anna Goldie, Azalia Mirhoseini
2020	J	`jnl`	Placement Optimization with Deep Reinforcement Learning. CoRR Anna Goldie, Azalia Mirhoseini
2020	A*	`conf`	Transferable Graph Optimizers for ML Compilers. NeurIPS Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon
2020	J	`jnl`	Transferable Graph Optimizers for ML Compilers. CoRR Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon
2019	A	`conf`	Deep Mixture of Experts via Shallow Embedding. UAI Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez
2019	J	`jnl`	GAP: Generalizable Approximate Graph Partitioning Framework. CoRR Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini
2019	J	`jnl`	GDP: Generalized Device Placement for Dataflow Graphs. CoRR Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Ming Zhong, Hanxiao Liu, Anna Goldie, Azalia Mirhoseini, James Laudon
2019	J	`jnl`	Generalized Clustering by Learning to Optimize Expected Normalized Cuts. CoRR Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini
2019	J	`jnl`	Reinforcement Learning Driven Heuristic Optimization. CoRR Qingpeng Cai, Will Hang, Azalia Mirhoseini, George Tucker, Jingtao Wang, Wei Wei
2018	—	`conf`	A Hierarchical Model for Device Placement. ICLR (Poster) Azalia Mirhoseini, Anna Goldie, Hieu Pham, Benoit Steiner, Quoc V. Le, Jeff Dean
2018	J	`jnl`	Deep Mixture of Experts via Shallow Embedding. CoRR Xin Wang, Fisher Yu, Ruth Wang, Yi-An Ma, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez
2018	—	`conf`	Introduction to ParLearning 2018. IPDPS Workshops Henri E. Bal, Arindam Pal, Azalia Mirhoseini, Thomas P. Parnell
2018	—	`conf`	ParLearning 2018 Invited Talk 2. IPDPS Workshops Azalia Mirhoseini
2018	J	`jnl`	RankMap: A Framework for Distributed Learning From Dense Data Sets. IEEE Trans. Neural Networks Learn. Syst. Azalia Mirhoseini, Eva L. Dyer, Ebrahim M. Songhori, Richard G. Baraniuk, Farinaz Koushanfar
2017	A*	`conf`	Deep3: Leveraging Three Levels of Parallelism for Efficient Deep Learning. DAC Bita Darvish Rouhani, Azalia Mirhoseini, Farinaz Koushanfar
2017	A*	`conf`	Device Placement Optimization with Reinforcement Learning. ICML Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean
2017	J	`jnl`	Device Placement Optimization with Reinforcement Learning. CoRR Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean
2017	—	`conf`	ExtDict: Extensible Dictionaries for Data- and Platform-Aware Large-Scale Learning. IPDPS Workshops Azalia Mirhoseini, Bita Darvish Rouhani, Ebrahim M. Songhori, Farinaz Koushanfar
2017	—	`conf`	Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. ICLR (Poster) Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, Jeff Dean
2017	J	`jnl`	Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. CoRR Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, Jeff Dean
2017	J	`jnl`	RISE: An Automated Framework for Real-Time Intelligent Video Surveillance on FPGA. ACM Trans. Embed. Comput. Syst. Bita Darvish Rouhani, Azalia Mirhoseini, Farinaz Koushanfar
2017	C	`conf`	TinyDL: Just-in-time deep learning solution for constrained embedded systems. ISCAS Bita Darvish Rouhani, Azalia Mirhoseini, Farinaz Koushanfar
2016	J	`jnl`	Automated Real-Time Analysis of Streaming Big and Dense Data on Reconfigurable Platforms. ACM Trans. Reconfigurable Technol. Syst. Bita Darvish Rouhani, Azalia Mirhoseini, Ebrahim M. Songhori, Farinaz Koushanfar
2016	J	`jnl`	Chime: Checkpointing Long Computations on Interm ittently Energized IoT Devices. IEEE Trans. Multi Scale Comput. Syst. Azalia Mirhoseini, Bita Darvish Rouhani, Ebrahim M. Songhori, Farinaz Koushanfar
2016	—	`conf`	CryptoML: Secure outsourcing of big data machine learning applications. HOST Azalia Mirhoseini, Ahmad-Reza Sadeghi, Farinaz Koushanfar
2016	A	`conf`	DeLight: Adding Energy Dimension To Deep Neural Networks. ISLPED Bita Darvish Rouhani, Azalia Mirhoseini, Farinaz Koushanfar
2016	A	`conf`	Deterministic Column Sampling for Low-Rank Matrix Approximation: Nyström vs. Incomplete Cholesky Decomposition. SDM Raajen Patel, Tom Goldstein, Eva L. Dyer, Azalia Mirhoseini, Richard G. Baraniuk
2016	Misc	`conf`	Going deeper than deep learning for massive data analytics under physical constraints. CODES+ISSS Bita Darvish Rouhani, Azalia Mirhoseini, Farinaz Koushanfar
2016	A*	`conf`	Perform-ML: performance optimized machine learning by platform and content aware customization. DAC Azalia Mirhoseini, Bita Darvish Rouhani, Ebrahim M. Songhori, Farinaz Koushanfar
2015	A	`conf`	AHEAD: automated framework for hardware accelerated iterative data analysis. DATE Ebrahim M. Songhori, Azalia Mirhoseini, Xuyang Lu, Farinaz Koushanfar
2015	A	`conf`	DA Systemization of Knowledge: A Catalog of Prior Forward-Looking Initiatives. ICCAD Farinaz Koushanfar, Azalia Mirhoseini, Gang Qu, Zhiru Zhang
2015	A*	`conf`	Flexible Transformations For Learning Big Data. SIGMETRICS Azalia Mirhoseini, Ebrahim M. Songhori, Bita Darvish Rouhani, Farinaz Koushanfar
2015	J	`jnl`	Phase Change Memory Write Cost Minimization by Data Encoding. IEEE J. Emerg. Sel. Topics Circuits Syst. Azalia Mirhoseini, Miodrag Potkonjak, Farinaz Koushanfar
2015	J	`jnl`	RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets. CoRR Azalia Mirhoseini, Eva L. Dyer, Ebrahim M. Songhori, Richard G. Baraniuk, Farinaz Koushanfar
2015	Misc	`conf`	SSketch: An Automated Framework for Streaming Sketch-Based Analysis of Big Data on FPGA. FCCM Bita Darvish Rouhani, Ebrahim M. Songhori, Azalia Mirhoseini, Farinaz Koushanfar
2015	J	`jnl`	oASIS: Adaptive Column Sampling for Kernel Matrix Approximation. CoRR Raajen Patel, Thomas A. Goldstein, Eva L. Dyer, Azalia Mirhoseini, Richard G. Baraniuk
2013	A	`conf`	Automated checkpointing for enabling intensive applications on energy harvesting devices. ISLPED Azalia Mirhoseini, Ebrahim M. Songhori, Farinaz Koushanfar
2013	A*	`conf`	Idetic: A high-level synthesis approach for enabling long computations on transiently-powered ASICs. PerCom Azalia Mirhoseini, Ebrahim M. Songhori, Farinaz Koushanfar
2012	A*	`conf`	Coding-based energy minimization for phase change memory. DAC Azalia Mirhoseini, Miodrag Potkonjak, Farinaz Koushanfar
2011	J	`jnl`	A Unified Framework for Multimodal Submodular Integrated Circuits Trojan Detection. IEEE Trans. Inf. Forensics Secur. Farinaz Koushanfar, Azalia Mirhoseini
2011	C	`conf`	Hybrid heterogeneous energy supply networks. ISCAS Farinaz Koushanfar, Azalia Mirhoseini
2011	A	`conf`	HypoEnergy. Hybrid supercapacitor-battery power-supply optimization for Energy efficiency. DATE Azalia Mirhoseini, Farinaz Koushanfar
2011	A	`conf`	Learning to manage combined energy supply systems. ISLPED Azalia Mirhoseini, Farinaz Koushanfar
2010	—	`conf`	A Unified Submodular Framework for Multimodal IC Trojan Detection. Information Hiding Farinaz Koushanfar, Azalia Mirhoseini, Yousra Alkabani
2010	A*	`conf`	Real time emulations: foundation and applications. DAC Azalia Mirhoseini, Yousra Alkabani, Farinaz Koushanfar