3 citations · 13 across the 14 of their papers we have counts for
4 papers · 1 filter
Hopfield Networks in Non-volatile Memory
Patrick Miller, Ulya R. Karpuzcu
Many important computational workloads are bound by the performance of the memory system that supplies data to conventional processors. Compute in Memory (CiM) promises to circumve…
MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding
Sai Munikoti, Ian Stewart, Chengping Chai +4
The application of generalist multimodal models (GMMs) to specialized scientific domains remains limited due to the scarcity of comprehensive domain-specific datasets that integrat…
Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language Models
Sameera Horawalavithana, Lauren Phillips, Ian Stewart +2
Vision-Language Models (VLMs) have rapidly advanced by leveraging powerful pre-trained Large Language Models (LLMs) as core reasoning backbones. As new and more capable LLMs emerge…
Directional Concentration Uncertainty: A representational approach to uncertainty quantification for generative models
Souradeep Chattopadhyay, Brendan Kennedy, Sai Munikoti +2
In the critical task of making generative models trustworthy and robust, methods for Uncertainty Quantification (UQ) have begun to show encouraging potential. However, many of thes…