Summary of Forecasting Four Business Cycle Phases Using Machine Learning: a Case Study Of Us and Eurozone, by Elvys Linhares Pontes et al.
Forecasting Four Business Cycle Phases Using Machine Learning: A Case Study of US and EuroZoneby…
Summary of Spectral Regularization For Adversarially-robust Representation Learning, by Sheng Yang et al.
Spectral regularization for adversarially-robust representation learningby Sheng Yang, Jacob A. Zavatone-Veth, Cengiz PehlevanFirst submitted to…
Summary of Convex Relaxation For Solving Large-margin Classifiers in Hyperbolic Space, by Sheng Yang et al.
Convex Relaxation for Solving Large-Margin Classifiers in Hyperbolic Spaceby Sheng Yang, Peihan Liu, Cengiz PehlevanFirst…
Summary of Efficient Multi-prompt Evaluation Of Llms, by Felipe Maia Polo et al.
Efficient multi-prompt evaluation of LLMsby Felipe Maia Polo, Ronald Xu, Lucas Weber, Mírian Silva, Onkar…
Summary of How Do Transformers “do” Physics? Investigating the Simple Harmonic Oscillator, by Subhash Kantamneni et al.
How Do Transformers “Do” Physics? Investigating the Simple Harmonic Oscillatorby Subhash Kantamneni, Ziming Liu, Max…
Summary of Autoformalizing Euclidean Geometry, by Logan Murphy et al.
Autoformalizing Euclidean Geometryby Logan Murphy, Kaiyu Yang, Jialiang Sun, Zhaoyu Li, Anima Anandkumar, Xujie SiFirst…
Summary of A Retrospective Of the Tutorial on Opportunities and Challenges Of Online Deep Learning, by Cedric Kulbach et al.
A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learningby Cedric Kulbach,…
Summary of Spectral-refiner: Accurate Fine-tuning Of Spatiotemporal Fourier Neural Operator For Turbulent Flows, by Shuhao Cao et al.
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flowsby Shuhao Cao, Francesco Brarda,…
Summary of Claq: Pushing the Limits Of Low-bit Post-training Quantization For Llms, by Haoyu Wang et al.
CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMsby Haoyu Wang, Bei Liu, Hang…
Summary of Benchmarking General-purpose In-context Learning, by Fan Wang et al.
Benchmarking General-Purpose In-Context Learningby Fan Wang, Chuan Lin, Yang Cao, Yu KangFirst submitted to arxiv…