Summary of Iterated Inla For State and Parameter Estimation in Nonlinear Dynamical Systems, by Rafael Anderka et al.
Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systemsby Rafael Anderka, Marc Peter…
Summary of A Multi-fidelity Methodology For Reduced Order Models with High-dimensional Inputs, by Bilal Mufti et al.
A Multi-Fidelity Methodology for Reduced Order Models with High-Dimensional Inputsby Bilal Mufti, Christian Perron, Dimitri…
Summary of Hyperdimensional Representation Learning For Node Classification and Link Prediction, by Abhishek Dalvi et al.
Hyperdimensional Representation Learning for Node Classification and Link Predictionby Abhishek Dalvi, Vasant HonavarFirst submitted to…
Summary of A Survey on Data Selection For Language Models, by Alon Albalak et al.
A Survey on Data Selection for Language Modelsby Alon Albalak, Yanai Elazar, Sang Michael Xie,…
Summary of Training Neural Networks From Scratch with Parallel Low-rank Adapters, by Minyoung Huh et al.
Training Neural Networks from Scratch with Parallel Low-Rank Adaptersby Minyoung Huh, Brian Cheung, Jeremy Bernstein,…
Summary of Gistembed: Guided In-sample Selection Of Training Negatives For Text Embedding Fine-tuning, by Aivin V. Solatorio
GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuningby Aivin V. SolatorioFirst submitted…
Summary of Asymmetry in Low-rank Adapters Of Foundation Models, by Jiacheng Zhu et al.
Asymmetry in Low-Rank Adapters of Foundation Modelsby Jiacheng Zhu, Kristjan Greenewald, Kimia Nadjahi, Haitz Sáez…
Summary of Multi-lora Composition For Image Generation, by Ming Zhong et al.
Multi-LoRA Composition for Image Generationby Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao,…
Summary of Think Big, Generate Quick: Llm-to-slm For Fast Autoregressive Decoding, by Benjamin Bergner et al.
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decodingby Benjamin Bergner, Andrii Skliar, Amelie Royer,…
Summary of Neural Operators with Localized Integral and Differential Kernels, by Miguel Liu-schiaffini et al.
Neural Operators with Localized Integral and Differential Kernelsby Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten…