Summary of Mindformer: Semantic Alignment Of Multi-subject Fmri For Brain Decoding, by Inhwa Han et al.
MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decodingby Inhwa Han, Jaayeon Lee, Jong Chul…
MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decodingby Inhwa Han, Jaayeon Lee, Jong Chul…
InversionView: A General-Purpose Method for Reading Information from Neural Activationsby Xinting Huang, Madhur Panwar, Navin…
Matryoshka Multimodal Modelsby Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae LeeFirst submitted to arxiv…
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Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learningby Chun-Kai Huang, Yi-Hsien…
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Modelsby Abhishek…
Accelerating Transformers with Spectrum-Preserving Token Mergingby Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen,…
UnitNorm: Rethinking Normalization for Transformers in Time Seriesby Nan Huang, Christian Kümmerle, Xiang ZhangFirst submitted…
Transformers represent belief state geometry in their residual streamby Adam S. Shai, Sarah E. Marzen,…
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