High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Yang Zhang, Lukas Mehl, Markus Gross, Christopher Schroers | Summary: Despite recent advances in Novel View Synthesis (NVS), generating high-fidelity views from single or sparse observations remains a significant challenge. Existing splatting-based approaches often produce distorted geometry due to splatting errors. While diffusion-based methods leverage […]


Continue.. High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion

LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models

Kavli Affiliate: Xiang Zhang | First 5 Authors: Zongyu Wu, Yuwei Niu, Hongcheng Gao, Minhua Lin, Zhiwei Zhang | Summary: Large Vision-Language Models (LVLMs) have shown impressive performance in various tasks. However, LVLMs suffer from hallucination, which hinders their adoption in the real world. Existing studies emphasized that the strong language priors of LVLMs can […]


Continue.. LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models

Superspin Renormalization and Slow Relaxation in Random Spin Systems

Kavli Affiliate: Joel E. Moore | First 5 Authors: Yi J. Zhao, Samuel J. Garratt, Joel E. Moore, , | Summary: We develop an excited-state real-space renormalization group (RSRG-X) formalism to describe the dynamics of conserved densities in randomly interacting spin-$frac{1}{2}$ systems. Our formalism is suitable for systems with $textrm{U}(1)$ and $mathbb{Z}_2$ symmetries, and we […]


Continue.. Superspin Renormalization and Slow Relaxation in Random Spin Systems

Towards MatCore: A Unified Metadata Standard for Materials Science

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Jane Greenberg, Pamela Boveda-Aguirre, John Allison, Pietro Asinari, Maria Chan | Summary: The materials science community seeks to support the FAIR principles for computational simulation research. The MatCore Project was recently launched to address this need, with the goal of developing an overall metadata framework and […]


Continue.. Towards MatCore: A Unified Metadata Standard for Materials Science

Heisenberg-limited calibration of entangling gates with robust phase estimation

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Kenneth Rudinger, J. P. Marceaux, Akel Hashim, David I. Santiago, Irfan Siddiqi | Summary: The calibration of high-quality two-qubit entangling gates is an essential component in engineering large-scale, fault-tolerant quantum computers. However, many standard calibration techniques are based on randomized circuits that are only quadratically sensitive to […]


Continue.. Heisenberg-limited calibration of entangling gates with robust phase estimation

First-principle crosstalk dynamics and Hamiltonian learning via Rabi experiments

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Jan Balewski, Adam Winick, Yilun Xu, Neel Vora, Gang Huang | Summary: Coherent errors constitute a significant barrier to successful large-scale quantum computation. One such error mechanism is crosstalk, which violates spatial locality or the independence of operations. We present a description of crosstalk and learn the […]


Continue.. First-principle crosstalk dynamics and Hamiltonian learning via Rabi experiments

Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Yaodong Yu, Guoyizhe Wei, Wei Shao, Yuyin Zhou | Summary: Since the introduction of Vision Transformer (ViT), patchification has long been regarded as a de facto image tokenization approach for plain visual architectures. By compressing the spatial size of images, this approach can effectively shorten […]


Continue.. Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More

Thermoelastic Damping Across the Phase Transition in van der Waals Magnets

Kavli Affiliate: Xiang Zhang | First 5 Authors: Alvaro Bermejillo-Seco, Xiang Zhang, Maurits J. A. Houmes, Makars Šiškins, Herre S. J. van der Zant | Summary: A quantitative understanding of the microscopic mechanisms responsible for damping in van der Waals nanomechanical resonators remains elusive. In this work, we investigate van der Waals magnets, where the […]


Continue.. Thermoelastic Damping Across the Phase Transition in van der Waals Magnets

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Hong Qiu, Yingying Huang, Xiaozhe Gu, Renfang Wang | Summary: Magnetotelluric (MT) forward modeling is fundamental for improving the accuracy and efficiency of MT inversion. Neural operators (NOs) have been effectively used for rapid MT forward modeling, demonstrating their promising performance in solving the MT […]


Continue.. EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling

UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation

Kavli Affiliate: Feng Wang | First 5 Authors: Weiren Zhao, Feng Wang, Yanran Wang, Yutong Xie, Qi Wu | Summary: Recent advancements have highlighted the Mamba framework, a state-space model known for its efficiency in capturing long-range dependencies with linear computational complexity. While Mamba has shown competitive performance in medical image segmentation, it encounters difficulties […]


Continue.. UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation