Zobrazeno 1 - 10
of 344 529
pro vyhledávání: '"Virginia, A."'
Previous work [Physical Review Letters 114, 213601 (2015)] has shown that thermal light with a blackbody spectrum cannot be decomposed as a mixture of independent localized pulses. We find that thermal light with a flat spectrum, which can occur when
Externí odkaz:
http://arxiv.org/abs/2412.17223
Autor:
Sgouritsa, Eleni, Aglietti, Virginia, Teh, Yee Whye, Doucet, Arnaud, Gretton, Arthur, Chiappa, Silvia
The reasoning abilities of Large Language Models (LLMs) are attracting increasing attention. In this work, we focus on causal reasoning and address the task of establishing causal relationships based on correlation information, a highly challenging p
Externí odkaz:
http://arxiv.org/abs/2412.13952
Autor:
Saunders, Jack, Hewitt, Charlie, Jian, Yanan, Kowalski, Marek, Baltrusaitis, Tadas, Chen, Yiye, Cosker, Darren, Estellers, Virginia, Gyde, Nicholas, Namboodiri, Vinay P., Lundell, Benjamin E
Gaussian Splatting has changed the game for real-time photo-realistic rendering. One of the most popular applications of Gaussian Splatting is to create animatable avatars, known as Gaussian Avatars. Recent works have pushed the boundaries of quality
Externí odkaz:
http://arxiv.org/abs/2412.07739
In this work, we study the relaxation of a degenerate functional with linear growth, depending on a weight $w$ that does not exhibit doubling or Muckenhoupt-type conditions. In order to obtain an explicit representation of the relaxed functional and
Externí odkaz:
http://arxiv.org/abs/2412.05328
Autor:
del Campo, Virginia, Malaina, Iker
This study investigates the impact of changes in body composition and follow-up imaging modalities on recurrence and prognosis in patients with head and neck squamous cell carcinoma (HNSCC). The results indicate that an increase in the adiposity inde
Externí odkaz:
http://arxiv.org/abs/2411.16264
Autor:
Weber, Maurice, Fu, Daniel, Anthony, Quentin, Oren, Yonatan, Adams, Shane, Alexandrov, Anton, Lyu, Xiaozhong, Nguyen, Huu, Yao, Xiaozhe, Adams, Virginia, Athiwaratkun, Ben, Chalamala, Rahul, Chen, Kezhen, Ryabinin, Max, Dao, Tri, Liang, Percy, Ré, Christopher, Rish, Irina, Zhang, Ce
Large language models are increasingly becoming a cornerstone technology in artificial intelligence, the sciences, and society as a whole, yet the optimal strategies for dataset composition and filtering remain largely elusive. Many of the top-perfor
Externí odkaz:
http://arxiv.org/abs/2411.12372
This work considers the problem of output-sensitive listing of occurrences of $2k$-cycles for fixed constant $k\geq 2$ in an undirected host graph with $m$ edges and $t$ $2k$-cycles. Recent work of Jin and Xu (and independently Abboud, Khoury, Leibow
Externí odkaz:
http://arxiv.org/abs/2411.07499
Autor:
Nogler, Jakob, Polak, Adam, Saha, Barna, Williams, Virginia Vassilevska, Xu, Yinzhan, Ye, Christopher
The tree edit distance (TED) between two rooted ordered trees with $n$ nodes labeled from an alphabet $\Sigma$ is the minimum cost of transforming one tree into the other by a sequence of valid operations consisting of insertions, deletions and relab
Externí odkaz:
http://arxiv.org/abs/2411.06502
Autor:
Tobaben, Marlon, Souibgui, Mohamed Ali, Tito, Rubèn, Nguyen, Khanh, Kerkouche, Raouf, Jung, Kangsoo, Jälkö, Joonas, Kang, Lei, Barsky, Andrey, d'Andecy, Vincent Poulain, Joseph, Aurélie, Muhamed, Aashiq, Kuo, Kevin, Smith, Virginia, Yamasaki, Yusuke, Fukami, Takumi, Niwa, Kenta, Tyou, Iifan, Ishii, Hiro, Yokota, Rio, N, Ragul, Kutum, Rintu, Llados, Josep, Valveny, Ernest, Honkela, Antti, Fritz, Mario, Karatzas, Dimosthenis
The Privacy Preserving Federated Learning Document VQA (PFL-DocVQA) competition challenged the community to develop provably private and communication-efficient solutions in a federated setting for a real-life use case: invoice processing. The compet
Externí odkaz:
http://arxiv.org/abs/2411.03730
Understanding and mitigating the potential risks associated with foundation models (FMs) hinges on developing effective interpretability methods. Sparse Autoencoders (SAEs) have emerged as a promising tool for disentangling FM representations, but th
Externí odkaz:
http://arxiv.org/abs/2411.00743