Zobrazeno 1 - 10
of 364
pro vyhledávání: '"Lee Jihwan"'
This paper demonstrates that model-based reinforcement learning (model-based RL) is a suitable approach for the task of analogical reasoning. We hypothesize that model-based RL can solve analogical reasoning tasks more efficiently through the creatio
Externí odkaz:
http://arxiv.org/abs/2408.14855
Autor:
Kristiansen, Gus, Sandler, Mark, Zhmoginov, Andrey, Miller, Nolan, Goyal, Anirudh, Lee, Jihwan, Vladymyrov, Max
In modern deep learning, the models are learned by applying gradient updates using an optimizer, which transforms the updates based on various statistics. Optimizers are often hand-designed and tuning their hyperparameters is a big part of the traini
Externí odkaz:
http://arxiv.org/abs/2408.09310
Autor:
Lee, Hosung, Kim, Sejin, Lee, Seungpil, Hwang, Sanha, Lee, Jihwan, Lee, Byung-Jun, Kim, Sundong
This paper introduces ARCLE, an environment designed to facilitate reinforcement learning research on the Abstraction and Reasoning Corpus (ARC). Addressing this inductive reasoning benchmark with reinforcement learning presents these challenges: a v
Externí odkaz:
http://arxiv.org/abs/2407.20806
Autor:
Lee, Jihwan, Kommineni, Aditya, Feng, Tiantian, Avramidis, Kleanthis, Shi, Xuan, Kadiri, Sudarsana, Narayanan, Shrikanth
Speech decoding from EEG signals is a challenging task, where brain activity is modeled to estimate salient characteristics of acoustic stimuli. We propose FESDE, a novel framework for Fully-End-to-end Speech Decoding from EEG signals. Our approach a
Externí odkaz:
http://arxiv.org/abs/2406.08644
Autor:
Baig Hasan, Fontanarossa Pedro, Kulkarni Vishwesh, McLaughlin James, Vaidyanathan Prashant, Bartley Bryan, Bhakta Shyam, Bhatia Swapnil, Bissell Mike, Clancy Kevin, Cox Robert Sidney, Goñi Moreno Angel, Gorochowski Thomas, Grunberg Raik, Lee Jihwan, Luna Augustin, Madsen Curtis, Misirli Goksel, Nguyen Tramy, Le Novere Nicolas, Palchick Zachary, Pocock Matthew, Roehner Nicholas, Sauro Herbert, Scott-Brown James, Sexton John T., Stan Guy-Bart, Tabor Jeffrey J., Terry Logan, Vazquez Vilar Marta, Voigt Christopher A., Wipat Anil, Zong David, Zundel Zach, Beal Jacob, Myers Chris
Publikováno v:
Journal of Integrative Bioinformatics, Vol 18, Iss 3 (2021)
People who are engineering biological organisms often find it useful to communicate in diagrams, both about the structure of the nucleic acid sequences that they are engineering and about the functional relationships between sequence features and oth
Externí odkaz:
https://doaj.org/article/7f0ad540881b4ff8b3b5032521bad7d3
Publikováno v:
E3S Web of Conferences, Vol 92, p 11015 (2019)
Many polymeric materials are recently used in geotechnical practice for enhancing the engineering properties of soils. Among the various polymers, this study aims at investigating the geotechnical properties of silica sand coated with polystyrene(PS)
Externí odkaz:
https://doaj.org/article/457d9db8b88945838b6506ab9a388854
Autor:
Lee, Jihwan, Bae, Jae-Sung, Mun, Seongkyu, Choi, Heejin, Lee, Joun Yeop, Cho, Hoon-Young, Kim, Chanwoo
With the recent developments in cross-lingual Text-to-Speech (TTS) systems, L2 (second-language, or foreign) accent problems arise. Moreover, running a subjective evaluation for such cross-lingual TTS systems is troublesome. The vowel space analysis,
Externí odkaz:
http://arxiv.org/abs/2211.03078
Autor:
Lee, Jihwan, Lee, Joun Yeop, Choi, Heejin, Mun, Seongkyu, Park, Sangjun, Bae, Jae-Sung, Kim, Chanwoo
Intonations play an important role in delivering the intention of a speaker. However, current end-to-end TTS systems often fail to model proper intonations. To alleviate this problem, we propose a novel, intuitive method to synthesize speech in diffe
Externí odkaz:
http://arxiv.org/abs/2204.01271
Publikováno v:
In Poultry Science November 2024 103(11)
Autor:
Lee, Jihwan, Lee, Songjeon, Ryu, Gyeonglim, Kim, Doosan, Baek, Hyeong-uk, Kim, Joohwan, Lee, Kyungsuk, Kim, Sunkyu, Kim, Sangbum, Dang, Chang-gwon, Choi, Taejeong, Choi, Inchul
Publikováno v:
In Theriogenology 15 September 2024 226:363-368