Picture for John P. Cunningham

John P. Cunningham

Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference

Add code
Nov 01, 2024
Viaarxiv icon

Theoretical Limitations of Ensembles in the Age of Overparameterization

Add code
Oct 21, 2024
Viaarxiv icon

Estimating the Hallucination Rate of Generative AI

Add code
Jun 11, 2024
Figure 1 for Estimating the Hallucination Rate of Generative AI
Figure 2 for Estimating the Hallucination Rate of Generative AI
Figure 3 for Estimating the Hallucination Rate of Generative AI
Figure 4 for Estimating the Hallucination Rate of Generative AI
Viaarxiv icon

Approximation-Aware Bayesian Optimization

Add code
Jun 06, 2024
Viaarxiv icon

LoRA Learns Less and Forgets Less

Add code
May 15, 2024
Figure 1 for LoRA Learns Less and Forgets Less
Figure 2 for LoRA Learns Less and Forgets Less
Figure 3 for LoRA Learns Less and Forgets Less
Figure 4 for LoRA Learns Less and Forgets Less
Viaarxiv icon

Practical and Asymptotically Exact Conditional Sampling in Diffusion Models

Add code
Jun 30, 2023
Viaarxiv icon

Pathologies of Predictive Diversity in Deep Ensembles

Add code
Feb 03, 2023
Viaarxiv icon

Posterior Collapse and Latent Variable Non-identifiability

Add code
Jan 02, 2023
Viaarxiv icon

Denoising Deep Generative Models

Add code
Dec 05, 2022
Viaarxiv icon

Posterior and Computational Uncertainty in Gaussian Processes

Add code
May 30, 2022
Figure 1 for Posterior and Computational Uncertainty in Gaussian Processes
Figure 2 for Posterior and Computational Uncertainty in Gaussian Processes
Figure 3 for Posterior and Computational Uncertainty in Gaussian Processes
Figure 4 for Posterior and Computational Uncertainty in Gaussian Processes
Viaarxiv icon