Improving cosmological reach of a gravitational wave observatory using Deep Loop Shaping

Kavli Affiliate: Rana X. Adhikari | First 5 Authors: , , , , | Summary: Improved low-frequency sensitivity of gravitational wave observatories would unlock study of intermediate-mass black hole mergers, binary black hole eccentricity, and provide early warnings for multi-messenger observations of binary neutron star mergers. Today’s mirror stabilization control injects harmful noise, constituting a […]


Continue.. Improving cosmological reach of a gravitational wave observatory using Deep Loop Shaping

Amorphization-Mediated Si-I to Si-V Phase Transition and Reversible Amorphous-Si-V Phase Memory in Silicon Nanoparticles

Kavli Affiliate: Wei Gao | First 5 Authors: Ziye Deng, Ziye Deng, , , | Summary: Molecular dynamics simulations using a Gaussian Approximation Potential (GAP) reveal a stress triaxiality driven, two-step Si-I (diamond cubic) to Si-V (simple hexagonal) phase transition pathway in a spherical Si nanoparticle with a 10 nm diameter under triaxial compression. A […]


Continue.. Amorphization-Mediated Si-I to Si-V Phase Transition and Reversible Amorphous-Si-V Phase Memory in Silicon Nanoparticles

Accelerating 3D Photoacoustic Computed Tomography with End-to-End Physics-Aware Neural Operators

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Jiayun Wang, Jiayun Wang, , , | Summary: Photoacoustic computed tomography (PACT) combines optical contrast with ultrasonic resolution, achieving deep-tissue imaging beyond the optical diffusion limit. While three-dimensional PACT systems enable high-resolution volumetric imaging for applications spanning transcranial to breast imaging, current implementations require dense transducer […]


Continue.. Accelerating 3D Photoacoustic Computed Tomography with End-to-End Physics-Aware Neural Operators

GUIDe: Generative and Uncertainty-Informed Inverse Design for On-Demand Nonlinear Functional Responses

Kavli Affiliate: Wei Gao | First 5 Authors: Haoxuan Dylan Mu, Haoxuan Dylan Mu, , , | Summary: Inverse design problems are pervasive in engineering, particularly when dealing with nonlinear system responses, such as in mechanical behavior or spectral analysis. The inherent intractability, non-existence, or non-uniqueness of their solutions, and the need for swift exploration […]


Continue.. GUIDe: Generative and Uncertainty-Informed Inverse Design for On-Demand Nonlinear Functional Responses

Hybrid-illumination multiplexed Fourier ptychographic microscopy with robust aberration correction

Kavli Affiliate: Changhuei Yang | First 5 Authors: Shi Zhao, Shi Zhao, , , | Summary: Fourier ptychographic microscopy (FPM) is a powerful computational imaging modality that achieves high space-bandwidth product imaging for biomedical samples. However, its adoption is limited by slow data acquisition due to the need for sequential measurements. Multiplexed FPM strategies have […]


Continue.. Hybrid-illumination multiplexed Fourier ptychographic microscopy with robust aberration correction

Efficient Geometry Compression and Communication for 3D Gaussian Splatting Point Clouds

Kavli Affiliate: Wei Gao | First 5 Authors: , , , , | Summary: Storage and transmission challenges in dynamic 3D scene representation based on the i3DV platform, With increasing scene complexity, the explosive growth of 3D Gaussian data volume causes excessive storage space occupancy. To address this issue, we propose adopting the AVS PCRM […]


Continue.. Efficient Geometry Compression and Communication for 3D Gaussian Splatting Point Clouds

AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression

Kavli Affiliate: Wei Gao | First 5 Authors: Chenhao Zhang, Chenhao Zhang, , , | Summary: Dynamic point cloud compression (DPCC) is crucial in applications like autonomous driving and AR/VR. Current compression methods face challenges with complexity management and rate control. This paper introduces a novel dynamic coding framework that supports variable bitrate and computational […]


Continue.. AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression

Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network

Kavli Affiliate: Wei Gao | First 5 Authors: Chenhao Zhang, Chenhao Zhang, , , | Summary: Neural Video Compression (NVC) has achieved remarkable performance in recent years. However, precise rate control remains a challenge due to the inherent limitations of learning-based codecs. To solve this issue, we propose a dynamic video compression framework designed for […]


Continue.. Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network

Traversing the Narrow Path: A Two-Stage Reinforcement Learning Framework for Humanoid Beam Walking

Kavli Affiliate: Wei Gao | First 5 Authors: TianChen Huang, TianChen Huang, , , | Summary: Traversing narrow beams is challenging for humanoids due to sparse, safety-critical contacts and the fragility of purely learned policies. We propose a physically grounded, two-stage framework that couples an XCoM/LIPM footstep template with a lightweight residual planner and a […]


Continue.. Traversing the Narrow Path: A Two-Stage Reinforcement Learning Framework for Humanoid Beam Walking