Summary of Residual Transformer Alignment with Spectral Decomposition, by Lorenzo Basile et al.
ResiDual Transformer Alignment with Spectral Decompositionby Lorenzo Basile, Valentino Maiorca, Luca Bortolussi, Emanuele Rodolà, Francesco…
Summary of Earl-bo: Reinforcement Learning For Multi-step Lookahead, High-dimensional Bayesian Optimization, by Mujin Cheon and Jay H. Lee and Dong-yeun Koh and Calvin Tsay
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimizationby Mujin Cheon, Jay H. Lee, Dong-Yeun…
Summary of Reinforcement Learning Gradients As Vitamin For Online Finetuning Decision Transformers, by Kai Yan et al.
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformersby Kai Yan, Alexander G. Schwing,…
Summary of Conformalized Prediction Of Post-fault Voltage Trajectories Using Pre-trained and Finetuned Attention-driven Neural Operators, by Amirhossein Mollaali et al.
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operatorsby Amirhossein Mollaali,…
Summary of The Importance Of Being Scalable: Improving the Speed and Accuracy Of Neural Network Interatomic Potentials Across Chemical Domains, by Eric Qu et al.
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials…
Summary of Tabm: Advancing Tabular Deep Learning with Parameter-efficient Ensembling, by Yury Gorishniy and Akim Kotelnikov and Artem Babenko
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensemblingby Yury Gorishniy, Akim Kotelnikov, Artem BabenkoFirst submitted…
Summary of Synergizing Llm Agents and Knowledge Graph For Socioeconomic Prediction in Lbsn, by Zhilun Zhou et al.
Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSNby Zhilun Zhou, Jingyang Fan,…
Summary of Approximate Attention with Mlp: a Pruning Strategy For Attention-based Model in Multivariate Time Series Forecasting, by Suhan Guo et al.
Approximate attention with MLP: a pruning strategy for attention-based model in multivariate time series forecastingby…
Summary of Benchmark Data Repositories For Better Benchmarking, by Rachel Longjohn et al.
Benchmark Data Repositories for Better Benchmarkingby Rachel Longjohn, Markelle Kelly, Sameer Singh, Padhraic SmythFirst submitted…
Summary of Ada-mshyper: Adaptive Multi-scale Hypergraph Transformer For Time Series Forecasting, by Zongjiang Shang et al.
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecastingby Zongjiang Shang, Ling Chen, Binqing wu,…