Summary of Can Transformers Predict Vibrations?, by Fusataka Kuniyoshi et al.
Can Transformers Predict Vibrations?by Fusataka Kuniyoshi, Yoshihide SawadaFirst submitted to arxiv on: 16 Feb 2024CategoriesMain:…
Summary of Personalised Drug Identifier For Cancer Treatment with Transformers Using Auxiliary Information, by Aishwarya Jayagopal et al.
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Informationby Aishwarya Jayagopal, Hansheng Xue,…
Summary of Contiformer: Continuous-time Transformer For Irregular Time Series Modeling, by Yuqi Chen et al.
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modelingby Yuqi Chen, Kan Ren, Yansen Wang, Yuchen…
Summary of Linear Transformers with Learnable Kernel Functions Are Better In-context Models, by Yaroslav Aksenov et al.
Linear Transformers with Learnable Kernel Functions are Better In-Context Modelsby Yaroslav Aksenov, Nikita Balagansky, Sofia…
Summary of Samformer: Unlocking the Potential Of Transformers in Time Series Forecasting with Sharpness-aware Minimization and Channel-wise Attention, by Romain Ilbert et al.
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise…
Summary of Bridging Associative Memory and Probabilistic Modeling, by Rylan Schaeffer et al.
Bridging Associative Memory and Probabilistic Modelingby Rylan Schaeffer, Nika Zahedi, Mikail Khona, Dhruv Pai, Sang…
Summary of Nyctale: Neuro-evidence Transformer For Adaptive and Personalized Lung Nodule Invasiveness Prediction, by Sadaf Khademi et al.
NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Predictionby Sadaf Khademi, Anastasia Oikonomou,…
Summary of Generating Visual Stimuli From Eeg Recordings Using Transformer-encoder Based Eeg Encoder and Gan, by Rahul Mishra et al.
Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GANby Rahul Mishra,…
Summary of Why Are Sensitive Functions Hard For Transformers?, by Michael Hahn et al.
Why are Sensitive Functions Hard for Transformers?by Michael Hahn, Mark RofinFirst submitted to arxiv on:…
Summary of Bidirectional Generative Pre-training For Improving Healthcare Time-series Representation Learning, by Ziyang Song et al.
Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learningby Ziyang Song, Qincheng Lu, He Zhu,…