Summary of Quanta: Efficient High-rank Fine-tuning Of Llms with Quantum-informed Tensor Adaptation, by Zhuo Chen et al.
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptationby Zhuo Chen, Rumen Dangovski, Charlotte…
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptationby Zhuo Chen, Rumen Dangovski, Charlotte…
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approachby Mohammed…
Advancing Ear Biometrics: Enhancing Accuracy and Robustness through Deep Learningby Youssef Mohamed, Zeyad Youssef, Ahmed…
Anomaly Detection in Dynamic Graphs: A Comprehensive Surveyby Ocheme Anthony Ekle, William EberleFirst submitted to…
Query2CAD: Generating CAD models using natural language queriesby Akshay Badagabettu, Sai Sravan Yarlagadda, Amir Barati…
Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injectionby Sebastian OtteFirst submitted to arxiv…
Non-Federated Multi-Task Split Learning for Heterogeneous Sourcesby Yilin Zheng, Atilla EryilmazFirst submitted to arxiv on:…
Mamba State-Space Models Are Lyapunov-Stable Learnersby John T. Halloran, Manbir Gulati, Paul F. RoysdonFirst submitted…
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noiseby Ziyi Zhang,…
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processingby Nurul Rafi,…