Raghu, Aniruddh

13 publications

ICLR 2025 Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson

ICLRW 2025 Guided Sequence-Structure Generative Modeling for Iterative Antibody Optimization Aniruddh Raghu, Sebastian W. Ober, Maxwell Kazman, Hunter Elliott

NeurIPSW 2024 Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences Alan Nawzad Amin, Nate Gruver, Yucen Lily Li, Yilun Kuang, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson

ICLRW 2024 Generative Humanization for Therapeutic Antibodies Cade W Gordon, Aniruddh Raghu, Peyton Greenside, Hunter Elliott

ICML 2023 Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series Aniruddh Raghu, Payal Chandak, Ridwan Alam, John Guttag, Collin Stultz

NeurIPSW 2022 Contrastive Pre-Training for Multimodal Medical Time Series Aniruddh Raghu, Payal Chandak, Ridwan Alam, John Guttag, Collin Stultz

CHIL 2022 Data Augmentation for Electrocardiograms Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John Guttag, Collin M Stultz

NeurIPS 2021 Meta-Learning to Improve Pre-Training Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David K. Duvenaud

ICLR 2021 Teaching with Commentaries Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey Hinton

ICLR 2020 Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals

ICMLW 2019 Reinforcement Learning for Sepsis Treatment: Baselines and Analysis Aniruddh Raghu

NeurIPS 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

MLHC 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