Degree-of-freedom and optimization-dynamic effects on the observability of Kuramoto-Sivashinsky systems

Kavli Affiliate: Frank Wise | First 5 Authors: Noah B. Frank, Noah B. Frank, , , | Summary: Simulations of chaotic systems can only produce high-fidelity trajectories when the initial and boundary conditions are well specified. When these conditions are unknown but measurements are available, adjoint-variational state estimation can reconstruct a trajectory that is consistent […]


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CreBench: Human-Aligned Creativity Evaluation from Idea to Process to Product

Kavli Affiliate: Kyle Shen | First 5 Authors: Kaiwen Xue, Kaiwen Xue, , , | Summary: Human-defined creativity is highly abstract, posing a challenge for multimodal large language models (MLLMs) to comprehend and assess creativity that aligns with human judgments. The absence of an existing benchmark further exacerbates this dilemma. To this end, we propose […]


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The Bottom-Up Approach for Powerful Testing with FWER Control

Kavli Affiliate: Frank Wise | First 5 Authors: Rajesh Karmakar, Rajesh Karmakar, , , | Summary: We seek to design novel multiple testing procedures, which take into account a relevant notion of ”power” or true discovery on the one hand, and allow computationally efficient test design and application on the other. Towards this end we […]


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Variable-temperature attenuator calibration method for on-wafer microwave noise characterization of low-noise amplifiers

Kavli Affiliate: Austin Minnich | First 5 Authors: Anthony J. Ardizzi, Anthony J. Ardizzi, , , | Summary: Low-noise cryogenic microwave amplifiers are widely used in applications such as radio astronomy and quantum computing. On-wafer noise characterization of cryogenic low-noise transistors is desirable because it facilitates more rapid characterization of devices prior to packaging, but […]


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Tissue Aware Nuclei Detection and Classification Model for Histopathology Images

Kavli Affiliate: Frank Wise | First 5 Authors: Kesi Xu, Kesi Xu, , , | Summary: Accurate nuclei detection and classification are fundamental to computational pathology, yet existing approaches are hindered by reliance on detailed expert annotations and insufficient use of tissue context. We present Tissue-Aware Nuclei Detection (TAND), a novel framework achieving joint nuclei […]


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Universal Kernel Models for Iterated Completely Positive Maps

Kavli Affiliate: Zhiting Tian | First 5 Authors: James Tian, James Tian, , , | Summary: We study how iterated and composed completely positive maps act on operator-valued kernels. Each kernel is realized inside a single Hilbert space where composition corresponds to applying bounded creation operators to feature vectors. This model yields a direct formula […]


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A Fleeting GLIMPSE of N/O Enrichment at Cosmic Dawn: Evidence for Wolf Rayet N Stars in a z = 6.1 Galaxy

Kavli Affiliate: Daniel Ralph | First 5 Authors: Danielle A. Berg, Danielle A. Berg, , , | Summary: We present the discovery of extreme nitrogen enrichment by Wolf Rayet nitrogen stars (WN) in the metal-poor ($sim10%Z_odot$), lensed, compact ($R_rm effsim20$ pc) galaxy RXCJ2248 at $z=6.1$, revealed by unprecedentedly deep JWST/NIRSpec medium-resolution spectroscopy from the GLIMPSE-D […]


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Beyond SELECT: A Comprehensive Taxonomy-Guided Benchmark for Real-World Text-to-SQL Translation

Kavli Affiliate: Grace Xing | First 5 Authors: Hao Wang, Hao Wang, , , | Summary: Text-to-SQL datasets are essential for training and evaluating text-to-SQL models, but existing datasets often suffer from limited coverage and fail to capture the diversity of real-world applications. To address this, we propose a novel taxonomy for text-to-SQL classification based […]


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A monoidal category of dependently sorted algebraic theories I: syntax

Kavli Affiliate: Daniel Ralph | First 5 Authors: Daniel Almeida, Daniel Almeida, , , | Summary: This is the first of a pair of papers where we construct and investigate a closed monoidal structure on the category of generalized algebraic theories (in the sense of Cartmell). In the present text, as a starting point, we […]


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Robust Defense Strategies for Multimodal Contrastive Learning: Efficient Fine-tuning Against Backdoor Attacks

Kavli Affiliate: Harry A. Atwater | First 5 Authors: Md. Iqbal Hossain, Md. Iqbal Hossain, , , | Summary: The advent of multimodal deep learning models, such as CLIP, has unlocked new frontiers in a wide range of applications, from image-text understanding to classification tasks. However, these models are not safe for adversarial attacks, particularly […]


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