PCAC-GAN: A Sparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

Kavli Affiliate: Wei Gao | First 5 Authors: Xiaolong Mao, Hui Yuan, Xin Lu, Raouf Hamzaoui, Wei Gao | Summary: Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such as the MPEG G-PCC standard. To bridge this gap, we propose a […]


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Unmasking charge transfer in the Misfits: ARPES and ab initio prediction of electronic structure in layered incommensurate systems without artificial strain

Kavli Affiliate: Lena F. Kourkoutis | First 5 Authors: Drake Niedzielski, Brendan D. Faeth, Berit H. Goodge, Mekhola Sinha, Tyrel M. McQueen | Summary: Common belief is that the large band shifts observed in incommensurate misfit compounds, e.g. (LaSe)1.14(NbSe2)2, are due to interlayer charge transfer. In contrast, our analysis, based on both ARPES measurements and […]


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Qudit Dynamical Decoupling on a Superconducting Quantum Processor

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Vinay Tripathi, Noah Goss, Arian Vezvaee, Long B. Nguyen, Irfan Siddiqi | Summary: Multi-level qudit systems are increasingly being explored as alternatives to traditional qubit systems due to their denser information storage and processing potential. However, qudits are more susceptible to decoherence than qubits due to increased […]


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Protocol for scaling up a sign-ordered Kitaev chain without magnetic flux control

Kavli Affiliate: Michael Wimmer | First 5 Authors: Chun-Xiao Liu, Sebastian Miles, Alberto Bordin, Sebastiaan L. D. ten Haaf, A. Mert Bozkurt | Summary: Quantum dot-superconductor arrays have emerged as a new and promising material platform for realizing Kitaev chains with Majorana zero modes. So far, experiments have implemented a two-site chain with limited protection. […]


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Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations

Kavli Affiliate: Xiang Zhang | First 5 Authors: Hao Yang, Hongyuan Lu, Xinhua Zeng, Yang Liu, Xiang Zhang | Summary: In the rapidly evolving field of natural language processing, dialogue systems primarily employ a single-step dialogue paradigm. Although this paradigm is efficient, it lacks the depth and fluidity of human interactions and does not appear […]


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IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Bo Ai, Joel Loo, Vinay, David Hsu | Summary: This work explores the challenges of creating a scalable and robust robot navigation system that can traverse both indoor and outdoor environments to reach distant goals. We propose a navigation system architecture called IntentionNet that employs […]


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Navigating Connected Car Cybersecurity: Location Anomaly Detection with RAN Data

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Yaron Koral, Kenichi Futamura, , | Summary: The cybersecurity of connected cars, integral to the broader Internet of Things (IoT) landscape, has become of paramount concern. Cyber-attacks, including hijacking and spoofing, pose significant threats to these technological advancements, potentially leading to unauthorized control over vehicular […]


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Efficient Sparse Attention needs Adaptive Token Release

Kavli Affiliate: Dan Luo | First 5 Authors: Chaoran Zhang, Lixin Zou, Dan Luo, Min Tang, Xiangyang Luo | Summary: In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide array of text-centric tasks. However, their `large’ scale introduces significant computational and storage challenges, particularly in managing the key-value states of […]


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Learning Robust 3D Representation from CLIP via Dual Denoising

Kavli Affiliate: Wei Gao | First 5 Authors: Shuqing Luo, Bowen Qu, Wei Gao, , | Summary: In this paper, we explore a critical yet under-investigated issue: how to learn robust and well-generalized 3D representation from pre-trained vision language models such as CLIP. Previous works have demonstrated that cross-modal distillation can provide rich and useful […]


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