Zobrazeno 1 - 10
of 2 419
pro vyhledávání: '"Suyoung Been"'
Autor:
Choi, Suyoung, Jang, Hyeontae
A seed is a PL sphere that is not obtainable by a wedge operation from any other PL sphere. In this paper, we study two operations on PL spheres, known as the stellar subdivision and the wedge, that preserve the maximality of Buchstaber numbers and p
Externí odkaz:
http://arxiv.org/abs/2407.12400
Autor:
Choi, Suyoung, Yoon, Younghan
This paper investigates the rational Betti numbers of real toric manifolds associated with chordal nestohedra. We consider the poset topology of a specific poset induced from a chordal building set, and show its EL-shellability. Based on this, we pre
Externí odkaz:
http://arxiv.org/abs/2407.11313
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding
Recently, deep end-to-end learning has been studied for intent classification in Spoken Language Understanding (SLU). However, end-to-end models require a large amount of speech data with intent labels, and highly optimized models are generally sensi
Externí odkaz:
http://arxiv.org/abs/2405.15097
Let $K$ be an $(n-1)$-dimensional piecewise linear sphere on $[m]$, where $m\leq n+4$. There are a canonical action of $m$-dimensional torus $T^m$ on the moment-angle complex $\mathcal{Z}_K$, and a canonical action of $\mathbb{Z}_2^m$ on the real mom
Externí odkaz:
http://arxiv.org/abs/2404.15600
Large Models (LMs) have heightened expectations for the potential of general AI as they are akin to human intelligence. This paper shows that recent large models such as Stable Diffusion and DALL-E3 also share the vulnerability of human intelligence,
Externí odkaz:
http://arxiv.org/abs/2404.15154
Coreset selection is a method for selecting a small, representative subset of an entire dataset. It has been primarily researched in image classification, assuming there is only one object per image. However, coreset selection for object detection is
Externí odkaz:
http://arxiv.org/abs/2404.09161
Offline reinforcement learning (RL) has seen notable advancements through return-conditioned supervised learning (RCSL) and value-based methods, yet each approach comes with its own set of practical challenges. Addressing these, we propose Value-Aide
Externí odkaz:
http://arxiv.org/abs/2402.02017
Legged Robot State Estimation With Invariant Extended Kalman Filter Using Neural Measurement Network
This paper introduces a novel proprioceptive state estimator for legged robots that combines model-based filters and deep neural networks. Recent studies have shown that neural networks such as multi-layer perceptron or recurrent neural networks can
Externí odkaz:
http://arxiv.org/abs/2402.00366
Autor:
Shin, Soohyeon, Park, Jin-Hong, Sibille, Romain, Jang, Harim, Park, Tae Beom, Kim, Suyoung, Shang, Tian, Medarde, Marisa, Bauer, Eric D., Zaharko, Oksana, Kenzelmann, Michel, Park, Tuson
Superposed symmetry-equivalent magnetic ordering wave vectors can lead to topologically non-trivial spin textures, such as magnetic skyrmions and hedgehogs, and give rise to novel quantum phenomena due to fictitious magnetic fields associated with a
Externí odkaz:
http://arxiv.org/abs/2311.13405
With the widespread usage of VR devices and contents, demands for 3D scene generation techniques become more popular. Existing 3D scene generation models, however, limit the target scene to specific domain, primarily due to their training strategies
Externí odkaz:
http://arxiv.org/abs/2311.13384