Dataless Quadratic Neural Networks for the Maximum Independent Set Problem

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu | Summary: Combinatorial Optimization (CO) addresses many important problems, including the challenging Maximum Independent Set (MIS) problem. Alongside exact and heuristic solvers, differentiable approaches have emerged, often using continuous relaxations of ReLU-based or quadratic objectives. Noting […]


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On the minimum number of radiation field parameters to specify gas cooling and heating functions

Posted by dbos Chicago

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: David Robinson, Camille Avestruz, Nickolay Y. Gnedin, , | Summary: Fast and accurate approximations of gas cooling and heating functions are needed for hydrodynamic galaxy simulations. We use machine learning to analyze atomic gas cooling and heating functions in the presence of a generalized incident local […]


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The Remarkable Robustness of LLMs: Stages of Inference?

Posted by dbos MIT

Kavli Affiliate: Max Tegmark | First 5 Authors: Vedang Lad, Wes Gurnee, Max Tegmark, , | Summary: We demonstrate and investigate the remarkable robustness of Large Language Models by deleting and swapping adjacent layers. We find that deleting and swapping interventions retain 72-95% of the original model’s prediction accuracy without fine-tuning, whereas models with more […]


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SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen, | Summary: Weakly-supervised medical image segmentation is a challenging task that aims to reduce the annotation cost while keep the segmentation performance. In this paper, we present a novel framework, SimTxtSeg, that leverages simple text cues to generate high-quality […]


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DIM: Dynamic Integration of Multimodal Entity Linking with Large Language Model

Posted by dbos Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Shezheng Song, Shasha Li, Jie Yu, Shan Zhao, Xiaopeng Li | Summary: Our study delves into Multimodal Entity Linking, aligning the mention in multimodal information with entities in knowledge base. Existing methods are still facing challenges like ambiguous entity representations and limited image information utilization. Thus, we […]


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Semi-adaptive Synergetic Two-way Pseudoinverse Learning System

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Binghong Liu, Ziqi Zhao, Shupan Li, Ke Wang, | Summary: Deep learning has become a crucial technology for making breakthroughs in many fields. Nevertheless, it still faces two important challenges in theoretical and applied aspects. The first lies in the shortcomings of gradient descent based learning schemes […]


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ML-Powered FPGA-based Real-Time Quantum State Discrimination Enabling Mid-circuit Measurements

Posted by dbos Berkeley

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Neel R. Vora, Yilun Xu, Akel Hashim, Neelay Fruitwala, Ho Nam Nguyen | Summary: Similar to reading the transistor state in classical computers, identifying the quantum bit (qubit) state is a fundamental operation to translate quantum information. However, identifying quantum state has been the slowest and most […]


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ML-Powered FPGA-based Real-Time Quantum State Discrimination Enabling Mid-circuit Measurements

Posted by dbos Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Neel R. Vora, Yilun Xu, Akel Hashim, Neelay Fruitwala, Ho Nam Nguyen | Summary: Similar to reading the transistor state in classical computers, identifying the quantum bit (qubit) state is a fundamental operation to translate quantum information. However, identifying quantum state has been the slowest and most […]


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Wafer-Scale Fabrication of InGaP-on-Insulator for Nonlinear and Quantum Photonic Applications

Posted by UCSB

Kavli Affiliate: John E. Bowers | First 5 Authors: Lillian Thiel, Joshua E. Castro, Trevor J. Steiner, Catherine L. Nguyen, Audrey Pechilis | Summary: The development of manufacturable and scalable integrated nonlinear photonic materials is driving key technologies in diverse areas such as high-speed communications, signal processing, sensing, and quantum information. Here, we demonstrate a […]


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Senescent cell heterogeneity and responses to senolytic treatment are related to cell cycle status during cell growth arrest.

Posted by dbos Hopkins

Kavli Affiliate: Denis Wirtz | Authors: Francesco Neri, Shuyuan Zheng, Mark Watson, Pierre Yves Desprez, Akos Gerencser, Judith Campisi, Denis Wirtz, Pei-Hsun Wu and Birgit Schilling | Summary: Cellular senescence has been strongly linked to aging and age-related diseases. It is well established that the phenotype of senescent cells is highly heterogeneous and influenced by […]


Continue.. Senescent cell heterogeneity and responses to senolytic treatment are related to cell cycle status during cell growth arrest.