Nate Gruver
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Large language models are zero-shot time series forecasters
N Gruver, M Finzi, S Qiu, AG Wilson
Advances in Neural Information Processing Systems, 2023
On feature learning in the presence of spurious correlations
P Izmailov, P Kirichenko, N Gruver, AG Wilson
Advances in Neural Information Processing Systems 35, 38516-38532, 2022
Accelerating bayesian optimization for biological sequence design with denoising autoencoders
S Stanton, W Maddox, N Gruver, P Maffettone, E Delaney, P Greenside, ...
International Conference on Machine Learning, 20459-20478, 2022
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
N Gruver, M Finzi, S Stanton, AG Wilson
International Conference on Learning Representations, 2022
Protein Design with Guided Discrete Diffusion
N Gruver, S Stanton, NC Frey, TGJ Rudner, I Hotzel, J Lafrance-Vanasse, ...
Advances in Neural Information Processing Systems, 2023
The lie derivative for measuring learned equivariance
N Gruver, M Finzi, M Goldblum, AG Wilson
International Conference on Learning Representations, 2023
Multi-agent adversarial inverse reinforcement learning with latent variables
N Gruver, J Song, MJ Kochenderfer, S Ermon
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
Adaptive informative path planning with multimodal sensing
S Choudhury, N Gruver, MJ Kochenderfer
Proceedings of the International Conference on Automated Planning and …, 2020
Effective Surrogate Models for Protein Design with Bayesian Optimization
N Gruver, S Stanton, P Kirichenko, M Finzi, P Maffettone, V Myers, ...
ICML Workshop on Computational Biology, 2021
Using latent variable models to observe academic pathways
N Gruver, A Malik, B Capoor, C Piech, ML Stevens, A Paepcke
International Conference on Educational Data Mining, 2019
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
N Gruver, A Sriram, A Madotto, AG Wilson, CL Zitnick, Z Ulissi
arXiv preprint arXiv:2402.04379, 2024
Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know
S Kapoor, N Gruver, M Roberts, A Pal, S Dooley, M Goldblum, A Wilson
Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024 …, 2024
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