Aniruddh Raghu

28 papers A* 7Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Unification of Discrete, Gaussian, and Simplicial Diffusion. CoRR Nuria Alina Chandra, Yucen Lily Li, Alan Nawzad Amin, Alex Ali, Joshua Rollins, Sebastian W. Ober, Aniruddh Raghu, Andrew Gordon Wilson
2025	A*	`conf`	Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences. ICLR Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson
2025	J	`jnl`	Guided Sequence-Structure Generative Modeling for Iterative Antibody Optimization. CoRR Aniruddh Raghu, Sebastian Ober, Maxwell Kazman, Hunter Elliott
2025	J	`jnl`	Improved Therapeutic Antibody Reformatting through Multimodal Machine Learning. CoRR Jiayi Xin, Aniruddh Raghu, Nick Bhattacharya, Adam Carr, Melanie Montgomery, Hunter Elliott
2025	J	`jnl`	Is Sequence Information All You Need for Bayesian Optimization of Antibodies? CoRR Sebastian W. Ober, Calvin McCarter, Aniruddh Raghu, Yucen Lily Li, Alan Nawzad Amin, Andrew Gordon Wilson, Hunter Elliott
2024	J	`jnl`	Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences. CoRR Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson
2024	—	`—`	Data-Efficient Machine Learning with Applications to Cardiology Aniruddh Raghu
2024	J	`jnl`	Generative Humanization for Therapeutic Antibodies. CoRR Cade Gordon, Aniruddh Raghu, Peyton Greenside, Hunter Elliott
2023	A*	`conf`	Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. ICML Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz
2023	J	`jnl`	Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. CoRR Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz
2022	—	`conf`	Data Augmentation for Electrocardiograms. CHIL Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John V. Guttag, Collin M. Stultz
2022	J	`jnl`	Data Augmentation for Electrocardiograms. CoRR Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John V. Guttag, Collin M. Stultz
2021	J	`jnl`	Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction. CoRR Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
2021	—	`conf`	Learning to predict with supporting evidence: applications to clinical risk prediction. CHIL Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
2021	J	`jnl`	Meta-Learning to Improve Pre-Training. CoRR Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David Duvenaud
2021	A*	`conf`	Meta-learning to Improve Pre-training. NeurIPS Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David Duvenaud
2021	A*	`conf`	Teaching with Commentaries. ICLR Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton
2020	A*	`conf`	Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML. ICLR Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals
2020	J	`jnl`	Teaching with Commentaries. CoRR Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton
2019	J	`jnl`	Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML. CoRR Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals
2019	A*	`conf`	Through-Wall Human Mesh Recovery Using Radio Signals. ICCV Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Hang Zhao, Tianhong Li, Antonio Torralba, Dina Katabi
2018	J	`jnl`	Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters. CoRR Aniruddh Raghu, Omer Gottesman, Yao Liu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill
2018	J	`jnl`	Model-Based Reinforcement Learning for Sepsis Treatment. CoRR Aniruddh Raghu, Matthieu Komorowski, Sumeetpal S. Singh
2018	J	`jnl`	Representation Balancing MDPs for Off-Policy Policy Evaluation. CoRR Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill
2018	A*	`conf`	Representation Balancing MDPs for Off-policy Policy Evaluation. NeurIPS Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo A. Faisal, Finale Doshi-Velez, Emma Brunskill
2017	J	`jnl`	Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach. CoRR Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
2017	—	`conf`	Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach. MLHC Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
2017	J	`jnl`	Deep Reinforcement Learning for Sepsis Treatment. CoRR Aniruddh Raghu, Matthieu Komorowski, Imran Ahmed, Leo A. Celi, Peter Szolovits, Marzyeh Ghassemi