Summary of In-depth Analysis Of Low-rank Matrix Factorisation in a Federated Setting, by Constantin Philippenko et al.
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Settingby Constantin Philippenko, Kevin Scaman, Laurent…
Summary of Tabkanet: Tabular Data Modeling with Kolmogorov-arnold Network and Transformer, by Weihao Gao et al.
TabKANet: Tabular Data Modeling with Kolmogorov-Arnold Network and Transformerby Weihao Gao, Zheng Gong, Zhuo Deng,…
Summary of Autoirt: Calibrating Item Response Theory Models with Automated Machine Learning, by James Sharpnack et al.
AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learningby James Sharpnack, Phoebe Mulcaire, Klinton…
Summary of Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling, by Vivek Oommen et al.
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modelingby Vivek Oommen, Aniruddha…
Summary of Risks When Sharing Lora Fine-tuned Diffusion Model Weights, by Dixi Yao
Risks When Sharing LoRA Fine-Tuned Diffusion Model Weightsby Dixi YaoFirst submitted to arxiv on: 13…
Summary of Sub-graph Based Diffusion Model For Link Prediction, by Hang Li et al.
Sub-graph Based Diffusion Model for Link Predictionby Hang Li, Wei Jin, Geri Skenderi, Harry Shomer,…
Summary of Enhancing Privacy in Controlnet and Stable Diffusion Via Split Learning, by Dixi Yao
Enhancing Privacy in ControlNet and Stable Diffusion via Split Learningby Dixi YaoFirst submitted to arxiv…
Summary of Anytime Continual Learning For Open Vocabulary Classification, by Zhen Zhu et al.
Anytime Continual Learning for Open Vocabulary Classificationby Zhen Zhu, Yiming Gong, Derek HoiemFirst submitted to…
Summary of Integration Of Mamba and Transformer — Mat For Long-short Range Time Series Forecasting with Application to Weather Dynamics, by Wenqing Zhang et al.
Integration of Mamba and Transformer – MAT for Long-Short Range Time Series Forecasting with Application…
Summary of Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice, by Tian-yi Zhou et al.
Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practiceby Tian-Yi Zhou, Matthew Lau, Jizhou…