Kavli Affiliate: Reza Shadmehr | Authors: Sritej Padmanabhan, Reza S Shadmehr, Roberta Klatzky and Jonathan S Tsay | Summary: Implicit sensorimotor adaptation—the automatic correction of movement errors through feedback and practice—is driven by a perceptual prediction error, the mismatch between the perceived movement outcome and its intended goal. While perceptual uncertainty is known to attenuate […]
Kavli Affiliate: Roberto Maiolino | Summary:Little Red Dots (LRDs) are compact, red sources discovered by JWST at high redshift ($z gtrsim 4$), marked by distinctive ‘V-shaped’ spectral energy distributions (SEDs) and often interpreted as rapidly accreting Active Galactic Nuclei (AGNs). Their true nature remains unclear, however, and their evolutionary connection to their lower-redshift counterparts is […]
Kavli Affiliate: Jia Liu | First 5 Authors: Changxin Tian, Changxin Tian, , , | Summary: Mixture-of-Experts (MoE) has become a dominant architecture for scaling Large Language Models (LLMs) efficiently by decoupling total parameters from computational cost. However, this decoupling creates a critical challenge: predicting the model capacity of a given MoE configurations (e.g., expert […]
Kavli Affiliate: Jia Liu | First 5 Authors: Changxin Tian, Changxin Tian, , , | Summary: Mixture-of-Experts (MoE) has become a dominant architecture for scaling Large Language Models (LLMs) efficiently by decoupling total parameters from computational cost. However, this decoupling creates a critical challenge: predicting the model capacity of a given MoE configurations (e.g., expert […]
Kavli Affiliate: Jia Liu | First 5 Authors: Changxin Tian, Changxin Tian, , , | Summary: Mixture-of-Experts (MoE) has become a dominant architecture for scaling Large Language Models (LLMs) efficiently by decoupling total parameters from computational cost. However, this decoupling creates a critical challenge: predicting the model capacity of a given MoE configurations (e.g., expert […]
Kavli Affiliate: Jia Liu | First 5 Authors: Changxin Tian, Changxin Tian, , , | Summary: Recent advances in learning rate (LR) scheduling have demonstrated the effectiveness of decay-free approaches that eliminate the traditional decay phase while maintaining competitive performance. Model merging techniques have emerged as particularly promising solutions in this domain. We present Warmup-Stable […]
Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Purpose: As surgery increasingly integrates advanced imaging, algorithms, and robotics to automate complex tasks, human judgment of system correctness remains a vital safeguard for patient safety. A critical example is 2D/3D registration, where small registration misalignments can lead to surgical errors. Current […]
Kavli Affiliate: Long Zhang | First 5 Authors: Li Jun, Li Jun, , , | Summary: Partially Relevant Video Retrieval (PRVR) addresses the critical challenge of matching untrimmed videos with text queries describing only partial content. Existing methods suffer from geometric distortion in Euclidean space that sometimes misrepresents the intrinsic hierarchical structure of videos and […]
Kavli Affiliate: David Hsieh| Summary:Photo-excited quantum materials can be driven into thermally inaccessible metastable states that exhibit structural, charge, spin, topological and superconducting orders. Metastable states typically emerge on timescales set by the intrinsic electronic and phononic energy scales, ranging from femtoseconds to picoseconds, and can persist for weeks. Therefore, studies have primarily focused on […]
Kavli Affiliate: Jing Wang | First 5 Authors: , , , , | Summary: In the fields of quantum mechanics and quantum information science, the traces of reduced density matrix powers play a crucial role in the study of quantum systems and have numerous important applications. In this paper, we propose a universal framework to […]