This year, Intel Labs presents 31 papers at NeurIPS, including 12 at the main conference. Contributions include training encoding models that can transfer across fMRI responses to stories and movies, a scalable framework for automatic generation of counterfactual examples using text-to-image diffusion models, and the first learning-based method for event-to-point cloud registration.
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Articles récents
- Practical Deployment of LLMs for Network Traffic Classification – Part 1
- Practical Deployment of LLMs for Network Traffic Classification
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Neural networks news
Intel NN News
- Practical Deployment of LLMs for Network Traffic Classification - Part 1
Additional contributing authors: Rui Li, Vishakh Nair, Mrittika Ganguli Executive SummaryThe […]
- Intel Labs Presents Latest Machine Learning Research Among Eight Papers at ICML 2025
Intel Labs is excited to present six works at this year's ICML conference in Vancouver Canada, […]
- Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
Souvik Kundu is a Staff Research Scientist at Intel Labs, leading scalable and efficient AI […]
- Practical Deployment of LLMs for Network Traffic Classification - Part 1
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