Summary of Graph Neural Networks on Discriminative Graphs Of Words, by Yassine Abbahaddou et al.
Graph Neural Networks on Discriminative Graphs of Wordsby Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis VazirgiannisFirst…
Summary of On Expressive Power Of Looped Transformers: Theoretical Analysis and Enhancement Via Timestep Encoding, by Kevin Xu and Issei Sato
On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encodingby Kevin Xu,…
Summary of Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts, by Naimeng Ye and Hongseok Namkoong
Exchangeable Sequence Models Quantify Uncertainty Over Latent Conceptsby Naimeng Ye, Hongseok NamkoongFirst submitted to arxiv…
Summary of Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers, by Sukjun Hwang et al.
Hydra: Bidirectional State Space Models Through Generalized Matrix Mixersby Sukjun Hwang, Aakash Lahoti, Tri Dao,…
Summary of Detecting Abnormal Operations in Concentrated Solar Power Plants From Irregular Sequences Of Thermal Images, by Sukanya Patra et al.
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Imagesby Sukanya…
Summary of Data-driven Simulator For Mechanical Circulatory Support with Domain Adversarial Neural Process, by Sophia Sun et al.
Data-Driven Simulator for Mechanical Circulatory Support with Domain Adversarial Neural Processby Sophia Sun, Wenyuan Chen,…
Summary of Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?, by Yang Dai et al.
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?by Yang Dai, Oubo Ma, Longfei…
Summary of Generating Synthetic Time Series Data For Cyber-physical Systems, by Alexander Sommers and Somayeh Bakhtiari Ramezani and Logan Cummins and Sudip Mittal and Shahram Rahimi and Maria Seale and Joseph Jaboure
Generating Synthetic Time Series Data for Cyber-Physical Systemsby Alexander Sommers, Somayeh Bakhtiari Ramezani, Logan Cummins,…
Summary of Large-scale Flood Modeling and Forecasting with Floodcast, by Qingsong Xu et al.
Large-scale flood modeling and forecasting with FloodCastby Qingsong Xu, Yilei Shi, Jonathan Bamber, Chaojun Ouyang,…
Summary of A Non-asymptotic Theory Of Kernel Ridge Regression: Deterministic Equivalents, Test Error, and Gcv Estimator, by Theodor Misiakiewicz et al.
A non-asymptotic theory of Kernel Ridge Regression: deterministic equivalents, test error, and GCV estimatorby Theodor…