Nate Gruver
10 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (24) π Conference Polyglot (4) π Cross-Pollinator (10)
π
Renaissance Researcher
(5)
π
Triple Crown
π
Century Club
(10)
Conferences
ICLR (4)
NIPS (4)
EACL (1)
ICML (1)
Top co-authors
Keywords
large language model
(3)
uncertainty estimation
(2)
bayesian optimization
(2)
model calibration
(1)
question answering
(1)
ai safety
(1)
feature representation
(1)
empirical risk minimization
(1)
gaussian process
(1)
time series forecasting
(1)
protein design
(1)
probability calibration
(1)
multi-objective optimization
(1)
denoising autoencoder
(1)
multimodal distribution
(1)
human-ai collaboration
(1)
spurious correlation
(1)
model fine-tuning
(1)
discrete diffusion
(1)
classifier guidance
(1)
Papers
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
ICLR 2025
Large Language Models Must Be Taught to Know What They Donβt Know
NIPS 2024
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
ICLR 2024
Calibration-Tuning: Teaching Large Language Models to Know What They Donβt Know
EACL 2024
The Lie Derivative for Measuring Learned Equivariance
ICLR 2023
Large Language Models Are Zero-Shot Time Series Forecasters
NIPS 2023
Protein Design with Guided Discrete Diffusion
NIPS 2023
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
ICML 2022
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
ICLR 2022
On Feature Learning in the Presence of Spurious Correlations
NIPS 2022