Coefficients-Preserving Sampling for Reinforcement Learning with Flow Matching

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Feng Wang, , , | Summary: Reinforcement Learning (RL) has recently emerged as a powerful technique for improving image and video generation in Diffusion and Flow Matching models, specifically for enhancing output quality and alignment with prompts. A critical step for applying online RL methods […]


Continue.. Coefficients-Preserving Sampling for Reinforcement Learning with Flow Matching

Depth-Aware Super-Resolution via Distance-Adaptive Variational Formulation

Kavli Affiliate: Feng Wang | First 5 Authors: Tianhao Guo, Tianhao Guo, , , | Summary: Single image super-resolution traditionally assumes spatially-invariant degradation models, yet real-world imaging systems exhibit complex distance-dependent effects including atmospheric scattering, depth-of-field variations, and perspective distortions. This fundamental limitation necessitates spatially-adaptive reconstruction strategies that explicitly incorporate geometric scene understanding for optimal […]


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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

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 is a common yet challenging engineering problem, particularly for nonlinear functional responses such as mechanical behavior or spectral analysis. Deep generative models are motivated by intractability, non-existence or non-uniqueness of solutions, and the need for […]


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 […]


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Optomechanical method for characterizing thermal transport across van der Waals interfaces

Kavli Affiliate: Herre S. J. Van Der Zant | First 5 Authors: Hanqing Liu, Hanqing Liu, , , | Summary: For the development of nanoscale electronics and photonics using atomically thin two-dimensional (2D) materials, it is important to realize van der Waals (vdW) interfaces with low thermal resistance, to minimize performance reduction caused by heat […]


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Visible Yet Unreadable: A Systematic Blind Spot of Vision Language Models Across Writing Systems

Kavli Affiliate: Ting Xu | First 5 Authors: Jie Zhang, Jie Zhang, , , | Summary: Writing is a universal cultural technology that reuses vision for symbolic communication. Humans display striking resilience: we readily recognize words even when characters are fragmented, fused, or partially occluded. This paper investigates whether advanced vision language models (VLMs) share […]


Continue.. Visible Yet Unreadable: A Systematic Blind Spot of Vision Language Models Across Writing Systems

Visible Yet Unreadable: A Systematic Blind Spot of Vision Language Models Across Writing Systems

Kavli Affiliate: Ting Xu | First 5 Authors: Jie Zhang, Jie Zhang, , , | Summary: Writing is a universal cultural technology that reuses vision for symbolic communication. Humans display striking resilience: we readily recognize words even when characters are fragmented, fused, or partially occluded. This paper investigates whether advanced vision language models (VLMs) share […]


Continue.. Visible Yet Unreadable: A Systematic Blind Spot of Vision Language Models Across Writing Systems

Role of Fe intercalation on the electronic correlation in resistively switchable antiferromagnet Fe$_x$NbS$_2$

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Wenxin Li, Wenxin Li, , , | Summary: Among the family of intercalated transition-metal dichalcogenides (TMDs), Fe$_x$NbS$_2$ is found to possess unique current-induced resistive switching behaviors, tunable antiferromagnetic states, and a commensurate charge order, all of which are tied to a critical Fe doping of $x_c$ […]


Continue.. Role of Fe intercalation on the electronic correlation in resistively switchable antiferromagnet Fe$_x$NbS$_2$

Octupole-driven spin-transfer torque switching of all-antiferromagnetic tunnel junctions

Kavli Affiliate: Gregory D. Fuchs | First 5 Authors: Jaimin Kang, Jaimin Kang, , , | Summary: Magnetic tunnel junctions (MTJs) based on ferromagnets are canonical devices in spintronics, with wide-ranging applications in data storage, computing, and sensing. They simultaneously exhibit mechanisms for electrical detection of magnetic order through the tunneling magnetoresistance (TMR) effect, and […]


Continue.. Octupole-driven spin-transfer torque switching of all-antiferromagnetic tunnel junctions