On the Identifiability from Modulo Measurements under DFT Sensing Matrix

Kavli Affiliate: Zheng Zhu | First 5 Authors: Qi Zhang, Jiang Zhu, Fengzhong Qu, Zheng Zhu, De Wen Soh | Summary: Unlimited sampling was recently introduced to deal with the clipping or saturation of measurements where a modulo operator is applied before sampling. In this paper, we investigate the identifiability of the model where measurements […]


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Spin current generation due to differential rotation

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Takumi Funato, Shunichiro Kinoshita, Norihiro Tanahashi, Shin Nakamura, Mamoru Matsuo | Summary: We study nonequilibrium spin dynamics in differentially rotating systems, deriving an effective Hamiltonian for conduction electrons in the comoving frame. In contrast to conventional spin current generation mechanisms that require vorticity, our theory describes spins […]


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Tunable even- and odd-denominator fractional quantum Hall states in trilayer graphene

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yiwei Chen, Yan Huang, Qingxin Li, Bingbing Tong, Guangli Kuang | Summary: The fractional quantum Hall (FQH) states are exotic quantum many-body phases whose elementary charged excitations are neither bosons nor fermions but anyons, obeying fractional braiding statistics. While most FQH states are believed to have Abelian […]


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Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation

Kavli Affiliate: Yi Zhou | First 5 Authors: Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He | Summary: Automatic polyp segmentation plays a crucial role in the early diagnosis and treatment of colorectal cancer (CRC). However, existing methods heavily rely on fully supervised training, which requires a large amount of labeled data with […]


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Balanced SNR-Aware Distillation for Guided Text-to-Audio Generation

Kavli Affiliate: Yi Zhou | First 5 Authors: Bingzhi Liu, Yin Cao, Haohe Liu, Yi Zhou, | Summary: Diffusion models have demonstrated promising results in text-to-audio generation tasks. However, their practical usability is hindered by slow sampling speeds, limiting their applicability in high-throughput scenarios. To address this challenge, progressive distillation methods have been effective in […]


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Room temperature ferromagnetic semiconductors through metal-semiconductor transition in monolayer MnSe2

Kavli Affiliate: Bo Gu | First 5 Authors: Jia-Wen Li, Gang Su, Bo Gu, , | Summary: To realize room temperature ferromagnetic semiconductors is still a challenge in spintronics. Recent experiments have obtained two-dimensional (2D) room temperature ferromagnetic metals, such as monolayer MnSe2. In this paper, we proposed a way to obtain room temperature ferromagnetic […]


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Room temperature ferromagnetic semiconductors through metal-semiconductor transition in monolayer MnSe2

Kavli Affiliate: Gang Su | First 5 Authors: Jia-Wen Li, Gang Su, Bo Gu, , | Summary: To realize room temperature ferromagnetic semiconductors is still a challenge in spintronics. Recent experiments have obtained two-dimensional (2D) room temperature ferromagnetic metals, such as monolayer MnSe2. In this paper, we proposed a way to obtain room temperature ferromagnetic […]


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Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection

Kavli Affiliate: Zheng Zhu | First 5 Authors: Ze Yu Zhao, Zheng Zhu, Guilin Li, Wenhan Wang, Bo Wang | Summary: In this work, we introduce an innovative autoregressive model leveraging Generative Pretrained Transformer (GPT) architectures, tailored for fraud detection in payment systems. Our approach innovatively confronts token explosion and reconstructs behavioral sequences, providing a […]


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Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning

Kavli Affiliate: Yi Zhou | First 5 Authors: Desai Xie, Jiahao Li, Hao Tan, Xin Sun, Zhixin Shu | Summary: Recent advancements in the text-to-3D task leverage finetuned text-to-image diffusion models to generate multi-view images, followed by NeRF reconstruction. Yet, existing supervised finetuned (SFT) diffusion models still suffer from multi-view inconsistency and the resulting NeRF […]


Continue.. Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning

Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning

Kavli Affiliate: Yi Zhou | First 5 Authors: Desai Xie, Jiahao Li, Hao Tan, Xin Sun, Zhixin Shu | Summary: Multi-view diffusion models, obtained by applying Supervised Finetuning (SFT) to text-to-image diffusion models, have driven recent breakthroughs in text-to-3D research. However, due to the limited size and quality of existing 3D datasets, they still suffer […]


Continue.. Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning