Nate Gruver
10 papers · 2022–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (29) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer
👑
Triple Crown
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(5)
Deep Learning
(5)
Optimization & Theory
(5)
Core AI
(4)
Learning Types · Machine Learning
(4)
Core Methods
(3)
Natural Language Processing
(2)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Healthcare & Medicine
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Generation
(1)
Keywords
bayesian optimization
(3)
large language model
(3)
uncertainty estimation
(2)
domain generalization
(1)
question answering
(1)
ai safety
(1)
model calibration
(1)
dynamics modeling
(1)
empirical risk minimization
(1)
gaussian process
(1)
sequential monte carlo
(1)
time series forecasting
(1)
protein design
(1)
multi-objective optimization
(1)
probability calibration
(1)
feature representation
(1)
generative model
(1)
denoising autoencoder
(1)
multimodal distribution
(1)
uncertainty quantification
(1)
Papers
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
ICLR 2025
Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know
EACL 2024
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
ICLR 2024
Large Language Models Must Be Taught to Know What They Don’t Know
NeurIPS 2024
Large Language Models Are Zero-Shot Time Series Forecasters
NeurIPS 2023
Protein Design with Guided Discrete Diffusion
NeurIPS 2023
The Lie Derivative for Measuring Learned Equivariance
ICLR 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
NeurIPS 2022