Summary of Granp: a Graph Recurrent Attentive Neural Process Model For Vehicle Trajectory Prediction, by Yuhao Luo et al.
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Predictionby Yuhao Luo, Kehua…
Summary of Recurrentgemma: Moving Past Transformers For Efficient Open Language Models, by Aleksandar Botev et al.
RecurrentGemma: Moving Past Transformers for Efficient Open Language Modelsby Aleksandar Botev, Soham De, Samuel L…
Summary of Generative Probabilistic Planning For Optimizing Supply Chain Networks, by Hyung-il Ahn et al.
Generative Probabilistic Planning for Optimizing Supply Chain Networksby Hyung-il Ahn, Santiago Olivar, Hershel Mehta, Young…
Summary of Progressive Semantic-guided Vision Transformer For Zero-shot Learning, by Shiming Chen et al.
Progressive Semantic-Guided Vision Transformer for Zero-Shot Learningby Shiming Chen, Wenjin Hou, Salman Khan, Fahad Shahbaz…
Summary of Gaze-guided Graph Neural Network For Action Anticipation Conditioned on Intention, by Suleyman Ozdel et al.
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intentionby Suleyman Ozdel, Yao Rong, Berat…
Summary of Graph Attention Network For Lane-wise and Topology-invariant Intersection Traffic Simulation, by Nooshin Yousefzadeh et al.
Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulationby Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi…
Summary of Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention, by Tsendsuren Munkhdalai et al.
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attentionby Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth…
Summary of A Fixed-point Approach For Causal Generative Modeling, by Meyer Scetbon et al.
A Fixed-Point Approach for Causal Generative Modelingby Meyer Scetbon, Joel Jennings, Agrin Hilmkil, Cheng Zhang,…
Summary of Topological Feature Search Method For Multichannel Eeg: Application in Adhd Classification, by Tianming Cai et al.
Topological Feature Search Method for Multichannel EEG: Application in ADHD classificationby Tianming Cai, Guoying Zhao,…
Summary of Attention-driven Multi-agent Reinforcement Learning: Enhancing Decisions with Expertise-informed Tasks, by Andre R Kuroswiski et al.
Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Decisions with Expertise-Informed Tasksby Andre R Kuroswiski, Annie S Wu,…