Summary of Fine-grained Attention I/o Complexity: Comprehensive Analysis For Backward Passes, by Xiaoyu Li et al.
Fine-grained Attention I/O Complexity: Comprehensive Analysis for Backward Passesby Xiaoyu Li, Yingyu Liang, Zhenmei Shi,…
Summary of Sold: Slot Object-centric Latent Dynamics Models For Relational Manipulation Learning From Pixels, by Malte Mosbach et al.
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixelsby Malte Mosbach, Jan…
Summary of Multi-source Temporal Attention Network For Precipitation Nowcasting, by Rafael Pablos Sarabia et al.
Multi-Source Temporal Attention Network for Precipitation Nowcastingby Rafael Pablos Sarabia, Joachim Nyborg, Morten Birk, Jeppe…
Summary of Efficiently Scanning and Resampling Spatio-temporal Tasks with Irregular Observations, by Bryce Ferenczi et al.
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observationsby Bryce Ferenczi, Michael Burke, Tom DrummondFirst…
Summary of Progressive Autoregressive Video Diffusion Models, by Desai Xie et al.
Progressive Autoregressive Video Diffusion Modelsby Desai Xie, Zhan Xu, Yicong Hong, Hao Tan, Difan Liu,…
Summary of Poison-splat: Computation Cost Attack on 3d Gaussian Splatting, by Jiahao Lu et al.
Poison-splat: Computation Cost Attack on 3D Gaussian Splattingby Jiahao Lu, Yifan Zhang, Qiuhong Shen, Xinchao…
Summary of Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision, by Shengcao Cao et al.
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervisionby Shengcao Cao, Liang-Yan Gui, Yu-Xiong…
Summary of Dice: Discrete Inversion Enabling Controllable Editing For Multinomial Diffusion and Masked Generative Models, by Xiaoxiao He et al.
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Modelsby Xiaoxiao He,…
Summary of Pretraining Graph Transformers with Atom-in-a-molecule Quantum Properties For Improved Admet Modeling, by Alessio Fallani et al.
Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modelingby Alessio Fallani, Ramil Nugmanov,…
Summary of On the Convergence Of (stochastic) Gradient Descent For Kolmogorov–arnold Networks, by Yihang Gao et al.
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov–Arnold Networksby Yihang Gao, Vincent Y. F.…