Summary of On Time Series Clustering with K-means, by Christopher Holder et al.
On time series clustering with k-meansby Christopher Holder, Anthony Bagnall, Jason LinesFirst submitted to arxiv…
Summary of Revisiting Slo and Goodput Metrics in Llm Serving, by Zhibin Wang et al.
Revisiting SLO and Goodput Metrics in LLM Servingby Zhibin Wang, Shipeng Li, Yuhang Zhou, Xue…
Summary of Finder: Stochastic Mirroring Of Noisy Quasi-newton Search and Deep Network Training, by Uttam Suman et al.
FINDER: Stochastic Mirroring of Noisy Quasi-Newton Search and Deep Network Trainingby Uttam Suman, Mariya Mamajiwala,…
Summary of Plmtrajrec: a Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models, by Tonglong Wei et al.
PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Modelsby Tonglong Wei, Yan…
Summary of Optimizing Importance Weighting in the Presence Of Sub-population Shifts, by Floris Holstege et al.
Optimizing importance weighting in the presence of sub-population shiftsby Floris Holstege, Bram Wouters, Noud van…
Summary of Debiasing Mini-batch Quadratics For Applications in Deep Learning, by Lukas Tatzel et al.
Debiasing Mini-Batch Quadratics for Applications in Deep Learningby Lukas Tatzel, Bálint Mucsányi, Osane Hackel, Philipp…
Summary of Evaluating the Evaluators: Towards Human-aligned Metrics For Missing Markers Reconstruction, by Taras Kucherenko et al.
Evaluating the evaluators: Towards human-aligned metrics for missing markers reconstructionby Taras Kucherenko, Derek Peristy, Judith…
Summary of Fine-tuning Pre-trained Language Models For Robust Causal Representation Learning, by Jialin Yu et al.
Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learningby Jialin Yu, Yuxiang Zhou, Yulan He,…
Summary of A Scientific Machine Learning Approach For Predicting and Forecasting Battery Degradation in Electric Vehicles, by Sharv Murgai et al.
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehiclesby Sharv…
Summary of Dual-label Learning with Irregularly Present Labels, by Mingqian Li et al.
Dual-Label Learning With Irregularly Present Labelsby Mingqian Li, Qiao Han, Yiteng Zhai, Ruifeng Li, Yao…