Distributed solar generation forecasting using attention-based deep neural networks for cloud movement predictionby Maneesha Perera,…
Constrained Diffusion with Trust Samplingby William Huang, Yifeng Jiang, Tom Van Wouwe, C. Karen LiuFirst…
Towards Accurate and Efficient Sub-8-Bit Integer Trainingby Wenjin Guo, Donglai Liu, Weiying Xie, Yunsong Li,…
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphsby Sejun Park, Joo…
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and…
SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantizationby Jintao Zhang, Haofeng Huang,…
Training a Label-Noise-Resistant GNN with Reduced Complexityby Rui Zhao, Bin Shi, Zhiming Liang, Jianfei Ruan,…
EfQAT: An Efficient Framework for Quantization-Aware Trainingby Saleh Ashkboos, Bram Verhoef, Torsten Hoefler, Evangelos Eleftheriou,…
FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball Methodby Yu Jiang, Chee Wei Tan, Kwok-Yan…
Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecastingby Shubham Tanaji Kakde, Rony Mitra, Jasashwi Mandal,…