Self-Supervised Learning for Time Series: Contrastive or Generative?

Kavli Affiliate: Xiang Zhang | First 5 Authors: Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang, | Summary: Self-supervised learning (SSL) has recently emerged as a powerful approach to learning representations from large-scale unlabeled data, showing promising results in time series analysis. The self-supervised representation learning can be categorized into two mainstream: contrastive and generative. […]


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Enhanced ClNO$_2$ formation at the interface of sea-salt aerosol

Kavli Affiliate: David T. Limmer | First 5 Authors: Seokjin Moon, David T. Limmer, , , | Summary: The reactive uptake of $mathrm{N_2O_5}$ on sea-spray aerosol plays a key role in regulating NO$_mathrm{x}$ concentration in the troposphere. Despite numerous field and laboratory studies, a microscopic understanding of its heterogeneous reactivity remains unclear. Here, we use […]


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Capturing electronic correlations in electron-phonon interactions in molecular systems with the GW approximation

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Antonios M. Alvertis, David B. Williams-Young, Fabien Bruneval, Jeffrey B. Neaton, | Summary: Electron-phonon interactions are of great importance to a variety of physical phenomena, and their accurate description is an important goal for first-principles calculations. Isolated examples of materials and molecular systems have emerged where […]


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Bayesian Diffusion Models for 3D Shape Reconstruction

Kavli Affiliate: Xiang Zhang | First 5 Authors: Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang, Yue Zhao | Summary: We present Bayesian Diffusion Models (BDM), a prediction algorithm that performs effective Bayesian inference by tightly coupling the top-down (prior) information with the bottom-up (data-driven) procedure via joint diffusion processes. We show the effectiveness of […]


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Bayesian Diffusion Models for 3D Shape Reconstruction

Kavli Affiliate: Xiang Zhang | First 5 Authors: Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang, Yue Zhao | Summary: We present Bayesian Diffusion Models (BDM), a prediction algorithm that performs effective Bayesian inference by tightly coupling the top-down (prior) information with the bottom-up (data-driven) procedure via joint diffusion processes. We show the effectiveness of […]


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V3D: Video Diffusion Models are Effective 3D Generators

Kavli Affiliate: Feng Wang | First 5 Authors: Zilong Chen, Yikai Wang, Feng Wang, Zhengyi Wang, Huaping Liu | Summary: Automatic 3D generation has recently attracted widespread attention. Recent methods have greatly accelerated the generation speed, but usually produce less-detailed objects due to limited model capacity or 3D data. Motivated by recent advancements in video […]


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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Kavli Affiliate: Felix Fischer | First 5 Authors: Gemini Team, Petko Georgiev, Ving Ian Lei, Ryan Burnell, Libin Bai | Summary: In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over fine-grained information from millions of tokens of context, […]


Continue.. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Kavli Affiliate: Felix Fischer | First 5 Authors: Gemini Team, Petko Georgiev, Ving Ian Lei, Ryan Burnell, Libin Bai | Summary: In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over fine-grained information from millions of tokens of context, […]


Continue.. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Kavli Affiliate: Felix Fischer | First 5 Authors: Gemini Team, Petko Georgiev, Ving Ian Lei, Ryan Burnell, Libin Bai | Summary: In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over fine-grained information from millions of tokens of context, […]


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A Magnetic Millirobot Walks on Slippery Biological Surfaces for Targeted Cargo Delivery

Kavli Affiliate: Felix Fischer | First 5 Authors: Moonkwang Jeong, Xiangzhou Tan, Felix Fischer, Tian Qiu, | Summary: Small-scale robots hold great potential for targeted cargo delivery in minimally-inv asive medicine. However, current robots often face challenges to locomote efficiently on slip pery biological tissue surfaces, especially when loaded with heavy cargos. Here, we report […]


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