Random Quantum Circuits

Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Matthew P. A. Fisher, Vedika Khemani, Adam Nahum, Sagar Vijay, | Summary: Quantum circuits — built from local unitary gates and local measurements — are a new playground for quantum many-body physics and a tractable setting to explore universal collective phenomena far-from-equilibrium. These models have […]


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A Repulsive Force Unit for Garment Collision Handling in Neural Networks

Kavli Affiliate: Yi Zhou | First 5 Authors: Qingyang Tan, Yi Zhou, Tuanfeng Wang, Duygu Ceylan, Xin Sun | Summary: Despite recent success, deep learning-based methods for predicting 3D garment deformation under body motion suffer from interpenetration problems between the garment and the body. To address this problem, we propose a novel collision handling neural […]


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3D Hydrodynamics of Pre-supernova Outbursts in Convective Red Supergiant Envelopes

Kavli Affiliate: Lars Bildsten | First 5 Authors: Benny T. -H. Tsang, Daniel Kasen, Lars Bildsten, , | Summary: Eruptive mass loss likely produces the energetic outbursts observed from some massive stars before they undergo core-collapse supernovae (CCSNe). The resulting dense circumstellar medium (CSM) may also cause the subsequent SNe to be observed as Type […]


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Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis

Kavli Affiliate: Zheng Zhu | First 5 Authors: Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou | Summary: Talking head synthesis is an emerging technology with wide applications in film dubbing, virtual avatars and online education. Recent NeRF-based methods generate more natural talking videos, as they better capture the 3D structural information of […]


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Spotting Temporally Precise, Fine-Grained Events in Video

Kavli Affiliate: Matthew Fisher | First 5 Authors: James Hong, Haotian Zhang, MichaĆ«l Gharbi, Matthew Fisher, Kayvon Fatahalian | Summary: We introduce the task of spotting temporally precise, fine-grained events in video (detecting the precise moment in time events occur). Precise spotting requires models to reason globally about the full-time scale of actions and locally […]


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Extracting Densest Sub-hypergraph with Convex Edge-weight Functions

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Shan Hu, Zimo Sheng, , | Summary: The densest subgraph problem (DSG) aiming at finding an induced subgraph such that the average edge-weights of the subgraph is maximized, is a well-studied problem. However, when the input graph is a hypergraph, the existing notion of DSG […]


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DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting

Kavli Affiliate: Yi Zhou | First 5 Authors: Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe | Summary: Federated learning has emerged as a privacy-preserving machine learning approach where multiple parties can train a single model without sharing their raw training data. Federated learning typically requires the utilization of multi-party computation techniques to […]


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CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation

Kavli Affiliate: Biao Huang | First 5 Authors: Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin | Summary: Brain tumor segmentation (BTS) in magnetic resonance image (MRI) is crucial for brain tumor diagnosis, cancer management and research purposes. With the great success of the ten-year BraTS challenges as well as the advances of […]


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TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents

Kavli Affiliate: Cheng Peng | First 5 Authors: Zhanzhan Cheng, Peng Zhang, Can Li, Qiao Liang, Yunlu Xu | Summary: Recently, automatically extracting information from visually rich documents (e.g., tickets and resumes) has become a hot and vital research topic due to its widespread commercial value. Most existing methods divide this task into two subparts: […]


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Shape dependence of mutual information in the OPE limit: linear responses

Kavli Affiliate: Huajia Wang | First 5 Authors: Liangyu Chen, Huajia Wang, , , | Summary: Mutual information serves as an important measure of correlation between subsystem components. In the framework of quantum field theories (QFTs) they have better regulated UV behavior than entanglement entropy, and thus provide more direct access to universal aspects of […]


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