Zobrazeno 1 - 10
of 3 194
pro vyhledávání: '"BAILEY, JAMES"'
Autor:
Bailey, James P.
We provide a complete characterization for uniqueness of equilibria in unconstrained polymatrix games. We show that while uniqueness is natural for coordination and general polymatrix games, zero-sum games require that the dimension of the combined s
Externí odkaz:
http://arxiv.org/abs/2410.16548
Autor:
Hu, Ran, Bailey, James P.
In the spatial model of voting, the yolk and LP (linear programming) yolk are important solution concepts for predicting outcomes for a committee of voters. McKelvey and Tovey showed that the LP yolk provides a lower bound approximation for the size
Externí odkaz:
http://arxiv.org/abs/2410.10788
In day labor markets, workers are particularly vulnerable to wage theft. This paper introduces a principal-agent model to analyze the conditions required to mitigate wage theft through fines and establishes the necessary and sufficient conditions to
Externí odkaz:
http://arxiv.org/abs/2410.09305
Autor:
Passerotti, Giulio, Alberello, Alberto, Vichi, Marcello, Bennetts, Luke G., Bailey, James, Toffoli, Alessandro
The size and shape of sea ice floes play a crucial role in influencing ocean-atmosphere energy exchanges, sea ice concentrations, albedo, and wave propagation through ice-covered waters. Despite the availability of diverse image segmentation techniqu
Externí odkaz:
http://arxiv.org/abs/2409.06641
Recent research on learned indexes has created a new perspective for indexes as models that map keys to their respective storage locations. These learned indexes are created to approximate the cumulative distribution function of the key set, where us
Externí odkaz:
http://arxiv.org/abs/2408.06134
While remarkable progress has been made on supervised skeleton-based action recognition, the challenge of zero-shot recognition remains relatively unexplored. In this paper, we argue that relying solely on aligning label-level semantics and global sk
Externí odkaz:
http://arxiv.org/abs/2406.13327
It has recently been discovered that using a pre-trained vision-language model (VLM), e.g., CLIP, to align a whole query image with several finer text descriptions generated by a large language model can significantly enhance zero-shot performance. H
Externí odkaz:
http://arxiv.org/abs/2406.02915
Autor:
Liu, Yuansan, Wijewickrema, Sudanthi, Hu, Dongting, Bester, Christofer, O'Leary, Stephen, Bailey, James
Recent innovations in diffusion probabilistic models have paved the way for significant progress in image, text and audio generation, leading to their applications in generative time series forecasting. However, leveraging such abilities to model hig
Externí odkaz:
http://arxiv.org/abs/2406.02827
Self-supervised learning (SSL) has potential for effective representation learning in medical imaging, but the choice of data augmentation is critical and domain-specific. It remains uncertain if general augmentation policies suit surgical applicatio
Externí odkaz:
http://arxiv.org/abs/2406.00907
Deep Learning has been a critical part of designing inverse design methods that are computationally efficient and accurate. An example of this is the design of photonic metasurfaces by using their photoluminescent spectrum as the input data to predic
Externí odkaz:
http://arxiv.org/abs/2405.04056