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PhD Student @ Cornell CS and Google Brain
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Resume/CV

Welcome! I am a PhD student in Computer Science at 加速器怎么上外网, where I am very fortunate to be advised by Jon Kleinberg. I am currently doing extended research with the 手机网络加速器, where my mentors are Quoc Le and 外网加速器推荐. In the past, I’ve collaborated with Jascha Sohl-Dickstein and Surya Ganguli at Stanford.

Before Cornell, I was at the University of Cambridge (Trinity College) where I completed my Bachelors and Masters (Part III of the Tripos) in Mathematics. Prior to that I was very fortunate to spend my final years in high school competing in national and international mathematical Olympaids. The highlight was being part of the UK team at the China Girls Math Olympiad.

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My research interests center around enabling more intuitive and informed design processes for machine learning systems and questions on how these systems can 手机网页加速器 with human experts. More specifically, I’ve looked at developing quantitative tools that facilitate the analysis of the 外网加速器推荐 of deep neural networks, which provide both fundamental insights and inform important algorithms for learning and training these systems, particularly in few-shot learning and transfer learning. I also study frameworks and predictive problems for combining these fully trained AI systems with human experts, with a focus on medical applications.

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Sep 12, 2024 Selected Talks Invited talks at NVIDIA GTC 2024, NeurIPS ML for Health Workshop, O’Reilly’s AI Conference, Simons Institute Frontiers of Deep Learning, Stanford’s HealthAI Hackathon, WiML
Jun 9, 2024 Selected Awards: Honored to be one of the Forbes 30 Under 30 in Science and named one of the MIT Rising Stars in EECS.
  • A Survey of Deep Learning for Scientific Discovery
    • Maithra Raghu, Eric Schmidt
    • Preprint
  • Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
    • Aniruddh Raghu*, Maithra Raghu*, Samy Bengio, Oriol Vinayls 手机连外网加速器
    • International Conference on Learning Representations (ICLR) 2024
    • 手机网页加速器, Slides
  • Transfusion: Understanding Transfer Learning with Applications to Medical Imaging
    • Maithra Raghu*, Chiyuan Zhang*, Jon Kleinberg, Samy Bengio (*equal contribution) (equal contribution)
    • Neural Information Processing Systems (NeurIPS), 2024
    • Also 手机网络加速器 in NeurIPS ML for Health Workshop, 2024
    • 加速器怎么上外网
  • The Algorithmic Automation Problem: Prediction, Triage and Human Effort
    • Maithra Raghu, Katy Blumer, Greg Corrado, Jon Kleinberg, Ziad Obermeyer, Sendhil Mullainathan
    • Preprint
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    • Maithra Raghu*, Katy Blumer*, Rory Sayres, Ziad Obermeyer, Sendhil Mullainathan, Jon Kleinberg (*equal contribution)
    • International Conference on Machine Learning (ICML), 2024
    • Blogpost
  • Insights on Representational Similarity in Neural Networks with Canonical Correlation
    • Ari Morcos*, Maithra Raghu*, Samy Bengio (*equal contribution)
    • 国外玩国内游戏网游加速器_海外玩国服游戏加速器-lonlife珑凌 ...:玲珑网游加速器海外版是专门为海外华人设计,人在海外畅玩国服游戏的加速产品。完美解决由于物理距离造成的延迟高,卡 ...
    • Code, Blogpost
  • Adversarial Spheres
    • Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian Goodfellow
    • Preprint
    • Appeared in International Conference on Learning Representations (ICLR) Workshop, 2018
  • Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
    • Maithra Raghu, Alex Irpan, Jacob Andreas, Robert Kleinberg, Quoc V. Le, Jon Kleinberg
    • International Conference on Machine Learning (ICML), 2018
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  • SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
    • Maithra Raghu, Justin Gilmer, Jason Yosinski, Jascha Sohl-Dickstein
    • Advances in Neural Information Processing Systems (NeurIPS), 2017
    • 免费外网加速器app, Blogpost
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    • Justin Gilmer, Colin Raffel, Samuel S. Schoenholz, Maithra Raghu, Jascha Sohl-Dickstein
    • Appeared in International Conference on Learning Representations (ICLR) Workshop, 2017
  • On the Expressive Power of Deep Neural Networks
    • Maithra Raghu, Ben Poole, Jon Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein
    • International Conference on Machine Learning (ICML), 2017
    • Video
  • Linear Additive Markov Processes
    • Ravi Kumar, Maithra Raghu, Tamas Sarlos, Andrew Tomkins 外网加速器下载
    • World Wide Web Conference (WWW), 2017
  • Exponential expressivity in deep neural networks through transient chaos
    • Ben Poole, Subhaneil Lahiri, Maithra Raghu, Jascha Sohl-Dickstein, Surya Ganguli
    • Advances in Neural Information Processing Systems (NeurIPS) 2016
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    • Jon Kleinberg, Maithra Raghu (alphabetical order)
    • Economics and Computation (EC) 2015
    • Invited to special issue of ACM Transactions on Economics and Computation, 2018
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