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- Ajay JainAffiliation: Not recordedWork: Denoising Diffusion Probabilistic Models
- Alexander Quinn NicholAffiliation: OpenAIWork: Improved Denoising Diffusion Probabilistic Models
- Jonathan HoAffiliation: Ideogram AI Inc.Work: Denoising Diffusion Probabilistic Models
- Joseph RoccaAffiliation: Not recordedWork: Understanding Diffusion Probabilistic Models (DPMs)
- Pieter AbbeelAffiliation: AmazonWork: Denoising Diffusion Probabilistic Models
- Yuval GlobersonAffiliation: AI21 LabsWork: Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domains
- Daphne KollerAffiliation: Not recordedWork: Probabilistic Graphical Models: Principles and Techniques
- Imanol Arrieta IbarraAffiliation: Not recordedWork: The Llama 3 Herd of Models
- Narjes TorabiAffiliation: Not recordedWork: The Llama 3 Herd of Models
- Marcin PikusAffiliation: Not recordedWork: Gemini: A Family of Highly Capable Multimodal Models
- George PapamakariosAffiliation: Not recordedWork: Gemini: A Family of Highly Capable Multimodal Models
- Clemens MeyerAffiliation: Not recordedWork: Gemini: A Family of Highly Capable Multimodal Models
- Dustin TranAffiliation: ElorianWork: Edward: A library for probabilistic modeling, inference, and criticism
- Logan GrahamAffiliation: AnthropicWork: MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming
- Anudhyan BoralAffiliation: Reflection AIWork: Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models