Zobrazeno 1 - 10
of 781 229
pro vyhledávání: '"Cohen AN"'
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 1990-2001 (2023)
Sustainable energy for household application is currently a top priority in developing countries with clean modern energy sources dominating the energy policy agenda. Nonetheless, more research evidence is required for policy and practise. This study
Externí odkaz:
https://doaj.org/article/a1a724acf59946ce8e0e789e1de6da72
Publikováno v:
EMNLP 2024
While coreference resolution is traditionally used as a component in individual document understanding, in this work we take a more global view and explore what can we learn about a domain from the set of all document-level coreference relations that
Externí odkaz:
http://arxiv.org/abs/2410.17051
Autor:
Ran-Milo, Yuval, Lumbroso, Eden, Cohen-Karlik, Edo, Giryes, Raja, Globerson, Amir, Cohen, Nadav
Structured state space models (SSMs), the core engine behind prominent neural networks such as S4 and Mamba, are linear dynamical systems adhering to a specified structure, most notably diagonal. In contrast to typical neural network modules, whose p
Externí odkaz:
http://arxiv.org/abs/2410.14067
Publikováno v:
AIMS Environmental Science, Vol 9, Iss 3, Pp 244-259 (2022)
Environmental degradation, including air quality deterioration, has been mainly attributed to anthropogenic activities. Air pollution has become a pressing issue in industrialised and highly populated areas due to the combustion of fossil fuels and i
Externí odkaz:
https://doaj.org/article/af9e2e24912e48d6bfbba1dd0bcbb18f
As the quality of image generators continues to improve, deepfakes become a topic of considerable societal debate. Image watermarking allows responsible model owners to detect and label their AI-generated content, which can mitigate the harm. Yet, cu
Externí odkaz:
http://arxiv.org/abs/2412.04653
Safety filters leveraging control barrier functions (CBFs) are highly effective for enforcing safe behavior on complex systems. It is often easier to synthesize CBFs for a Reduced order Model (RoM), and track the resulting safe behavior on the Full o
Externí odkaz:
http://arxiv.org/abs/2412.04658
Autor:
Yasunaga, Michihiro, Shamis, Leonid, Zhou, Chunting, Cohen, Andrew, Weston, Jason, Zettlemoyer, Luke, Ghazvininejad, Marjan
Recent approaches to large language model (LLM) alignment typically require millions of human annotations or rely on external aligned models for synthetic data generation. This paper introduces ALMA: Alignment with Minimal Annotation, demonstrating t
Externí odkaz:
http://arxiv.org/abs/2412.04305
This paper presents a novel approach for synthesizing control barrier functions (CBFs) from high relative degree safety constraints: Rectified CBFs (ReCBFs). We begin by discussing the limitations of existing High-Order CBF approaches and how these c
Externí odkaz:
http://arxiv.org/abs/2412.03708
Autor:
Hébert-Dufresne, Laurent, Landry, Nicholas W., Lovato, Juniper, St-Onge, Jonathan, Young, Jean-Gabriel, Couture-Ménard, Marie-Ève, Bernatchez, Stéphane, Choquette, Catherine, Cohen, Alan A.
Democratic governments comprise a subset of a population whose goal is to produce coherent decisions that solve societal challenges while respecting the will of the people they represent. New governance frameworks represent this problem as a social n
Externí odkaz:
http://arxiv.org/abs/2412.03421
Publikováno v:
MICCAI Workshop on Deep Generative Models, pp. 54-63. Cham: Springer Nature Switzerland, 2024
The segmentation of histological images is critical for various biomedical applications, yet the lack of annotated data presents a significant challenge. We propose a microscopy pseudo labeling pipeline utilizing unsupervised image translation to add
Externí odkaz:
http://arxiv.org/abs/2412.02858