Fundamental computational limits of weak learnability in high-dimensional multi-index modelsby Emanuele Troiani, Yatin Dandi, Leonardo…
Towards Natural Machine Unlearningby Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin HuangFirst submitted…
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networksby Jialin Zhao, Yingtao Zhang,…
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradientby Yongliang Wu,…
Spectraformer: A Unified Random Feature Framework for Transformerby Duke Nguyen, Aditya Joshi, Flora SalimFirst submitted…
Multi-Feature Fusion and Compressed Bi-LSTM for Memory-Efficient Heartbeat Classification on Wearable Devicesby Reza Nikandish, Jiayu…
Decaf: Data Distribution Decompose Attack against Federated Learningby Zhiyang Dai, Chunyi Zhou, Anmin FuFirst submitted…
NuwaTS: a Foundation Model Mending Every Incomplete Time Seriesby Jinguo Cheng, Chunwei Yang, Wanlin Cai,…
On the Identification of Temporally Causal Representation with Instantaneous Dependenceby Zijian Li, Yifan Shen, Kaitao…
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Modelby Mingyang Yi, Aoxue Li, Yi Xin,…