Gruver, Nate

15 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 Residue-Level Text Conditioning for Protein Language Model Mutation Effect Prediction Dan Berenberg, Nate Gruver, Alan Nawzad Amin, Peter Mørch Groth, Leo Chen, Harsh R. Srivastava, Pascal Notin, Debora Susan Marks, Andrew Gordon Wilson, Kyunghyun Cho, Richard Bonneau
NeurIPS 2025 Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion Alan Nawzad Amin, Nate Gruver, Andrew Gordon Wilson
ICLRW 2025 Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion Alan Nawzad Amin, Nate Gruver, Andrew Gordon Wilson
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
ICLR 2024 Fine-Tuned Language Models Generate Stable Inorganic Materials as Text Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary Ward Ulissi
NeurIPS 2024 Large Language Models Must Be Taught to Know What They Don’t Know Sanyam Kapoor, Nate Gruver, Manley Roberts, Katherine Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson
NeurIPSW 2023 Fine-Tuned Language Models Generate Stable Inorganic Materials as Text Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary Ward Ulissi
NeurIPS 2023 Large Language Models Are Zero-Shot Time Series Forecasters Nate Gruver, Marc Finzi, Shikai Qiu, Andrew G Wilson
NeurIPS 2023 Protein Design with Guided Discrete Diffusion Nate Gruver, Samuel Stanton, Nathan Frey, Tim G. J. Rudner, Isidro Hotzel, Julien Lafrance-Vanasse, Arvind Rajpal, Kyunghyun Cho, Andrew G Wilson
ICMLW 2023 Protein Design with Guided Discrete Diffusion Nate Gruver, Samuel Don Stanton, Nathan C. Frey, Tim G. J. Rudner, Isidro Hotzel, Julien Lafrance-Vanasse, Arvind Rajpal, Kyunghyun Cho, Andrew Gordon Wilson
ICLR 2023 The Lie Derivative for Measuring Learned Equivariance Nate Gruver, Marc Anton Finzi, Micah Goldblum, Andrew Gordon Wilson
ICML 2022 Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders Samuel Stanton, Wesley Maddox, Nate Gruver, Phillip Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson
ICLR 2022 Deconstructing the Inductive Biases of Hamiltonian Neural Networks Nate Gruver, Marc Anton Finzi, Samuel Don Stanton, Andrew Gordon Wilson
NeurIPS 2022 On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov, Polina Kirichenko, Nate Gruver, Andrew G Wilson