Summary of Towards Neural Scaling Laws For Time Series Foundation Models, by Qingren Yao et al.
Towards Neural Scaling Laws for Time Series Foundation Modelsby Qingren Yao, Chao-Han Huck Yang, Renhe…
Towards Neural Scaling Laws for Time Series Foundation Modelsby Qingren Yao, Chao-Han Huck Yang, Renhe…
Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learningby Etai Littwin, Vimal Thilak, Anand…
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shiftby Yanru Sun, Zongxia Xie,…
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networksby Chaojie Wang, Xinyang Liu, Dongsheng Wang,…
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoderby Maksim Kuznetsov, Airat Valiev, Alex Aliper,…
JurEE not Judges: safeguarding llm interactions with small, specialised Encoder Ensemblesby Dom NasrabadiFirst submitted to…
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervisionby Shengcao Cao, Liang-Yan Gui, Yu-Xiong…
InstructG2I: Synthesizing Images from Multimodal Attributed Graphsby Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang,…
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMaxby Ivan Butakov, Alexander Semenenko, Alexander Tolmachev,…
InstantIR: Blind Image Restoration with Instant Generative Referenceby Jen-Yuan Huang, Haofan Wang, Qixun Wang, Xu…