MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Databy Mingu Kang, Dongseok Lee,…
Stress Detection on Code-Mixed Texts in Dravidian Languages using Machine Learningby L. Ramos, M. Shahiki-Tash,…
Round and Round We Go! What makes Rotary Positional Encodings useful?by Federico Barbero, Alex Vitvitskyi,…
RelitLRM: Generative Relightable Radiance for Large Reconstruction Modelsby Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang…
Unveiling Transformer Perception by Exploring Input Manifoldsby Alessandro Benfenati, Alfio Ferrara, Alessio Marta, Davide Riva,…
Jet Expansions of Residual Computationby Yihong Chen, Xiangxiang Xu, Yao Lu, Pontus Stenetorp, Luca FranceschiFirst…
Extracting Finite State Machines from Transformersby Rik Adriaensen, Jaron MaeneFirst submitted to arxiv on: 8…
Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Frameworkby Angela van Sprang, Erman Acar,…
DimOL: Dimensional Awareness as A New ‘Dimension’ in Operator Learningby Yichen Song, Jiaming Wang, Yunbo…
Accelerating Error Correction Code Transformersby Matan Levy, Yoni Choukroun, Lior WolfFirst submitted to arxiv on:…