Summary of Relitlrm: Generative Relightable Radiance For Large Reconstruction Models, by Tianyuan Zhang et al.
RelitLRM: Generative Relightable Radiance for Large Reconstruction Modelsby Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang…
Summary of Enforcing Interpretability in Time Series Transformers: a Concept Bottleneck Framework, by Angela Van Sprang et al.
Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Frameworkby Angela van Sprang, Erman Acar,…
Summary of Round and Round We Go! What Makes Rotary Positional Encodings Useful?, by Federico Barbero et al.
Round and Round We Go! What makes Rotary Positional Encodings useful?by Federico Barbero, Alex Vitvitskyi,…
Summary of Pyramidal Flow Matching For Efficient Video Generative Modeling, by Yang Jin et al.
Pyramidal Flow Matching for Efficient Video Generative Modelingby Yang Jin, Zhicheng Sun, Ningyuan Li, Kun…
Summary of Unveiling Transformer Perception by Exploring Input Manifolds, By Alessandro Benfenati and Alfio Ferrara and Alessio Marta and Davide Riva and Elisabetta Rocchetti
Unveiling Transformer Perception by Exploring Input Manifoldsby Alessandro Benfenati, Alfio Ferrara, Alessio Marta, Davide Riva,…
Summary of Jet Expansions Of Residual Computation, by Yihong Chen et al.
Jet Expansions of Residual Computationby Yihong Chen, Xiangxiang Xu, Yao Lu, Pontus Stenetorp, Luca FranceschiFirst…
Summary of Extracting Finite State Machines From Transformers, by Rik Adriaensen et al.
Extracting Finite State Machines from Transformersby Rik Adriaensen, Jaron MaeneFirst submitted to arxiv on: 8…
Summary of Dimol: Dimensional Awareness As a New ‘dimension’ in Operator Learning, by Yichen Song et al.
DimOL: Dimensional Awareness as A New ‘Dimension’ in Operator Learningby Yichen Song, Jiaming Wang, Yunbo…
Summary of Accelerating Error Correction Code Transformers, by Matan Levy et al.
Accelerating Error Correction Code Transformersby Matan Levy, Yoni Choukroun, Lior WolfFirst submitted to arxiv on:…
Summary of Timedart: a Diffusion Autoregressive Transformer For Self-supervised Time Series Representation, by Daoyu Wang et al.
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representationby Daoyu Wang, Mingyue Cheng, Zhiding…