Summary of The Promise Of Analog Deep Learning: Recent Advances, Challenges and Opportunities, by Aditya Datar et al.
The Promise of Analog Deep Learning: Recent Advances, Challenges and Opportunitiesby Aditya Datar, Pramit SahaFirst…
Summary of T-jepa: a Joint-embedding Predictive Architecture For Trajectory Similarity Computation, by Lihuan Li et al.
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computationby Lihuan Li, Hao Xue, Yang Song,…
Summary of The Significance Of Latent Data Divergence in Predicting System Degradation, by Miguel Fernandes et al.
The Significance of Latent Data Divergence in Predicting System Degradationby Miguel Fernandes, Catarina Silva, Alberto…
Summary of How Out-of-distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability, by Yijin Zhou et al.
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliabilityby Yijin Zhou, Yutang Ge, Xiaowen…
Summary of Opening the Black Box: Predicting the Trainability Of Deep Neural Networks with Reconstruction Entropy, by Yanick Thurn et al.
Opening the Black Box: predicting the trainability of deep neural networks with reconstruction entropyby Yanick…
Summary of Brain-inspired Spike Echo State Network Dynamics For Aero-engine Intelligent Fault Prediction, by Mo-ran Liu and Tao Sun and Xi-ming Sun
Brain-Inspired Spike Echo State Network Dynamics for Aero-Engine Intelligent Fault Predictionby Mo-Ran Liu, Tao Sun,…
Summary of Understanding Active Learning Of Molecular Docking and Its Applications, by Jeonghyeon Kim et al.
Understanding active learning of molecular docking and its applicationsby Jeonghyeon Kim, Juno Nam, Seongok RyuFirst…
Summary of Windowmixer: Intra-window and Inter-window Modeling For Time Series Forecasting, by Quangao Liu et al.
WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecastingby Quangao Liu, Ruiqi Li, Maowei Jiang,…
Summary of Interpretable Cascading Mixture-of-experts For Urban Traffic Congestion Prediction, by Wenzhao Jiang et al.
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Predictionby Wenzhao Jiang, Jindong Han, Hao Liu, Tao…
Summary of Evaluating the Generalization Ability Of Quantized Llms: Benchmark, Analysis, and Toolbox, by Yijun Liu et al.
Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolboxby Yijun Liu, Yuan Meng,…