Zobrazeno 1 - 10
of 17 939
pro vyhledávání: '"P. Hebert"'
Self-reinforcing cascades: A spreading model for beliefs or products of varying intensity or quality
Autor:
Hébert-Dufresne, Laurent, Lovato, Juniper, Burgio, Giulio, Gleeson, James P., Redner, S., Krapivsky, P. L.
Models of how things spread often assume that transmission mechanisms are fixed over time. However, social contagions--the spread of ideas, beliefs, innovations--can lose or gain in momentum as they spread: ideas can get reinforced, beliefs strengthe
Externí odkaz:
http://arxiv.org/abs/2411.00714
We present REM, a framework for segmenting a wide range of concepts in video that can be described through natural language. Our method capitalizes on visual-language representations learned by video diffusion models on Internet-scale datasets. A key
Externí odkaz:
http://arxiv.org/abs/2410.23287
Autor:
Sayana, Krishna, Vasudeva, Raghavendra, Vasilevski, Yuri, Su, Kun, Hebert, Liam, Pham, Hubert, Jash, Ambarish, Sodhi, Sukhdeep
The recent advances in Large Language Model's generation and reasoning capabilities present an opportunity to develop truly conversational recommendation systems. However, effectively integrating recommender system knowledge into LLMs for natural lan
Externí odkaz:
http://arxiv.org/abs/2410.16780
Autor:
Ahern, Emily J., Scholten, Sarah K., Locke, Clayton, Bourbeau-Hebert, Nicolas, White, Benjamin, Luiten, Andre N., Perrella, Christopher
Rubidium two-photon frequency standards are emerging as powerful contenders for compact, durable devices with exceptional stability. The field has focused on single-color excitation to date. Here we demonstrate the key advantages of a two-color excit
Externí odkaz:
http://arxiv.org/abs/2410.16654
Autor:
Hébert, Auguste, Philippe, Paul
In 2019, D. Muthiah proposed a strategy to define affine Kazhdan-Lusztig $R$-polynomials for Kac-Moody groups. Since then, Bardy-Panse, the first author and Rousseau have introduced the formalism of twin masures and the authors have extended combinat
Externí odkaz:
http://arxiv.org/abs/2410.04872
Autor:
Eisenberg, Yishai, Wang, Wenchao, Zhao, Shitong, Hebert, Eric S., Chen, Yi-Hao, Ouzounov, Dimitre G., Takahashi, Hazuki, Gruzdeva, Anna, LaViolette, Aaron K., Labaz, Moshe, Sidorenko, Pavel, Antonio-Lopez, Enrique, Amezcua-Correa, Rodrigo, Yapici, Nilay, Xu, Chris, Wise, Frank
An exciting recent development for deep-tissue imaging with cellular resolution is three-photon fluorescence microscopy (3PM) with excitation at long wavelengths (1300 and 1700 nm). In the last few years, long-wavelength 3PM has driven rapid progress
Externí odkaz:
http://arxiv.org/abs/2410.00889
The Onion Decomposition has recently been shown to provide principled models of complex graphs that better reproduce the sparse networks found in nature, but at the cost of complicated connection rules. We propose a k-edge swapping MCMC algorithm to
Externí odkaz:
http://arxiv.org/abs/2409.20493
Autor:
Hebert, Liam, Kyriakidi, Marialena, Pham, Hubert, Sayana, Krishna, Pine, James, Sodhi, Sukhdeep, Jash, Ambarish
Hybrid recommender systems, combining item IDs and textual descriptions, offer potential for improved accuracy. However, previous work has largely focused on smaller datasets and model architectures. This paper introduces Flare (Fusing Language model
Externí odkaz:
http://arxiv.org/abs/2409.11699
Complex 3D scene understanding has gained increasing attention, with scene encoding strategies playing a crucial role in this success. However, the optimal scene encoding strategies for various scenarios remain unclear, particularly compared to their
Externí odkaz:
http://arxiv.org/abs/2409.03757
Autor:
Hébert-Dufresne, Laurent, Kling, Matthew M., Rosenblatt, Samuel F., Miller, Stephanie N., Burnham, P. Alexander, Landry, Nicholas W., Gotelli, Nicholas J., McGill, Brian J.
Stochastic diffusion is the noisy and uncertain process through which dynamics like epidemics, or agents like animal species, disperse over a larger area. Understanding these processes is becoming increasingly important as we attempt to better prepar
Externí odkaz:
http://arxiv.org/abs/2408.07755