Michigan Engineering | University of Michigan Topics of accepted ECE NeurIPS papers include diffusion models, large language models, multi-armed bandit models, and more.
Fifteen papers by ECE researchers to be presented at the Conference on Neural Information Processing Systems
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Matthew Raymond recognized for research using ML techniques to design new types of medicine
Doctoral student Matthew Raymond wants to facilitate the development of new and groundbreaking nanomedicines.
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Can Yaras recognized for his research aimed at efficient algorithms for LLMs
Doctoral student Can Yaras wants to reduce the carbon footprint of AI.
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Fourteen papers by ECE researchers to be presented at the International Conference on Machine Learning
Accepted papers for the ICML conference span topics including deep representation learning, language model fine-tuning, generative modeling, and more.
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GenAI diffusion models learn to generate new content more consistently than expected
Award-winning research led by Prof. Qing Qu discovered an intriguing phenomenon that diffusion models consistently produce nearly identical content starting from the same noise input, regardless of model architectures or training procedures.
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Linking online and offline social networks to better predict real world impact
Prof. Lei Ying leads a new MURI that is focused on the interplay between online and offline networks and how they could impact disruptive behavior and events.
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Designing Synthetic Human Gut Microbiome with AI
Prof. Al Hero was interviewed and gave a presentation about his research using machine learning to improve our understanding of the human gut
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Machine learning begins to understand the human gut
The new computer model accurately predicts the behavior of millions of microbial communities from hundreds of experiments, an advance toward precision medicine.
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Teaching Machine Learning in ECE
With new courses at the UG and graduate level, ECE is delivering state-of-the-art instruction in machine learning for students in ECE, and across the University
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Immune to hacks: Inoculating deep neural networks to thwart attacks
The adaptive immune system serves as a template for defending neural nets from confusion-sowing attacks