Aniruddh Raghu

According to our database, Aniruddh Raghu authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-Efficient Machine Learning with Applications to Cardiology

Aniruddh Raghu

PhD thesis, 2024

Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences.

Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson

CoRR, 2024

Generative Humanization for Therapeutic Antibodies.

Cade Gordon, Aniruddh Raghu, Peyton Greenside, Hunter Elliott

CoRR, 2024

2023

Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series.

Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz

Proceedings of the International Conference on Machine Learning, 2023

2022

Data Augmentation for Electrocardiograms.

Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John V. Guttag, Collin M. Stultz

Proceedings of the Conference on Health, Inference, and Learning, 2022

2021

Meta-learning to Improve Pre-training.

Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David Duvenaud

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Teaching with Commentaries.

Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning to predict with supporting evidence: applications to clinical risk prediction.

Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML.

Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Through-Wall Human Mesh Recovery Using Radio Signals.

Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Hang Zhao, Tianhong Li, Antonio Torralba, Dina Katabi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Model-Based Reinforcement Learning for Sepsis Treatment.

Aniruddh Raghu, Matthieu Komorowski, Sumeetpal S. Singh

CoRR, 2018

Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters.

Aniruddh Raghu, Omer Gottesman, Yao Liu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill

CoRR, 2018

Representation Balancing MDPs for Off-policy Policy Evaluation.

Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo A. Faisal, Finale Doshi-Velez, Emma Brunskill

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Deep Reinforcement Learning for Sepsis Treatment.

Aniruddh Raghu, Matthieu Komorowski, Imran Ahmed, Leo A. Celi, Peter Szolovits, Marzyeh Ghassemi

CoRR, 2017

Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach.

Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

Proceedings of the Machine Learning for Health Care Conference, 2017