FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning

Kavli Affiliate: Zhuo Li | First 5 Authors: Jiajun Cao, Jiajun Cao, , , | Summary: Vision-Language-Action (VLA) models have demonstrated significant potential in complex scene understanding and action reasoning, leading to their increasing adoption in end-to-end autonomous driving systems. However, the long visual tokens of VLA models greatly increase computational costs. Current visual token […]


Continue.. FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning

FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning

Kavli Affiliate: Zhuo Li | First 5 Authors: Jiajun Cao, Jiajun Cao, , , | Summary: Vision-Language-Action (VLA) models have demonstrated significant potential in complex scene understanding and action reasoning, leading to their increasing adoption in end-to-end autonomous driving systems. However, the long visual tokens of VLA models greatly increase computational costs. Current visual token […]


Continue.. FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning

Imprints of gravitational-wave polarizations on projected tidal tensor in three dimensions

Kavli Affiliate: Misao Sasaki | Summary:Gravitational waves (GWs) distort galaxy shapes through the tidal effect, offering a novel avenue to probe the nature of gravity. In this paper, we investigate how extra GW polarizations beyond those predicted by general relativity imprint observable signatures on galaxy shapes. Since galaxy shapes are measured as two-dimensional images projected […]


Continue.. Imprints of gravitational-wave polarizations on projected tidal tensor in three dimensions

Quadratic Programming-Based Posture Manipulation and Thrust-vectoring for Agile Dynamic Walking on Narrow Pathways

Kavli Affiliate: Morteza Gharib| Summary:There has been significant advancement in legged robot’s agility where they can show impressive acrobatic maneuvers, such as parkour. These maneuvers rely heavily on posture manipulation. To expand the stability and locomotion plasticity, we use the multi-modal ability in our legged-aerial platform, the Husky Beta, to perform thruster-assisted walking. This robot […]


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Echoes in Different Tempo: Long-Term Monitoring of Crab Echoes with CHIME

Kavli Affiliate: Kiyoshi Masui | Summary:The Crab Pulsar is known to feature plasma lensing events known as echoes. These events are characterized by additional components in the pulse profile which are produced by additional images formed when the pulsar’s radio emission is deflected by ionized nebular material. These components are therefore delayed relative to the […]


Continue.. Echoes in Different Tempo: Long-Term Monitoring of Crab Echoes with CHIME

Echoes in Different Tempo: Long-Term Monitoring of Crab Echoes with CHIME

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Thierry Serafin Nadeau, Thierry Serafin Nadeau, , , | Summary: The Crab Pulsar is known to feature plasma lensing events known as echoes. These events show additional components in the pulse profile which are produced by signal that is deflected by ionized nebular material and are […]


Continue.. Echoes in Different Tempo: Long-Term Monitoring of Crab Echoes with CHIME

A multi-dimensional quantum estimation and model learning framework based on variational Bayesian inference

Kavli Affiliate: Tim H. Taminiau | Summary:The advancement and scaling of quantum technology has made the learning and identification of quantum systems and devices in highly-multidimensional parameter spaces a pressing task for a variety of applications. In many cases, the integration of real-time feedback control and adaptive choice of measurement settings places strict demands on […]


Continue.. A multi-dimensional quantum estimation and model learning framework based on variational Bayesian inference

A multi-dimensional quantum estimation and model learning framework based on variational Bayesian inference

Kavli Affiliate: Tim H. Taminiau | Summary:The advancement and scaling of quantum technology has made the learning and identification of quantum systems and devices in highly-multidimensional parameter spaces a pressing task for a variety of applications. In many cases, the integration of real-time feedback control and adaptive choice of measurement settings places strict demands on […]


Continue.. A multi-dimensional quantum estimation and model learning framework based on variational Bayesian inference

Causal-Inspired Multi-Agent Decision-Making via Graph Reinforcement Learning

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Jing Wang, , , | Summary: Since the advent of autonomous driving technology, it has experienced remarkable progress over the last decade. However, most existing research still struggles to address the challenges posed by environments where multiple vehicles have to interact seamlessly. This study aims […]


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Harnessing Bayesian Statistics to Accelerate Iterative Quantum Amplitude Estimation

Kavli Affiliate: Li Xin Li| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:We establish a unified statistical framework that underscores the crucial role statistical inference plays in Quantum Amplitude Estimation (QAE), a task essential to fields ranging from chemistry to finance and machine learning. We use this framework to harness Bayesian statistics for improved […]


Continue.. Harnessing Bayesian Statistics to Accelerate Iterative Quantum Amplitude Estimation