Zobrazeno 1 - 7
of 7
pro vyhledávání: '"LICA, Mircea"'
Contemporary embodied agents, such as Voyager in Minecraft, have demonstrated promising capabilities in open-ended individual learning. However, when powered with open large language models (LLMs), these agents often struggle with rudimentary tasks,
Externí odkaz:
http://arxiv.org/abs/2411.12977
Autor:
Meo, Cristian, Nakano, Akihiro, Lică, Mircea, Didolkar, Aniket, Suzuki, Masahiro, Goyal, Anirudh, Zhang, Mengmi, Dauwels, Justin, Matsuo, Yutaka, Bengio, Yoshua
Unsupervised object-centric learning from videos is a promising approach towards learning compositional representations that can be applied to various downstream tasks, such as prediction and reasoning. Recently, it was shown that pretrained Vision T
Externí odkaz:
http://arxiv.org/abs/2410.15728
Autor:
Meo, Cristian, Lica, Mircea, Ikram, Zarif, Nakano, Akihiro, Shah, Vedant, Didolkar, Aniket Rajiv, Liu, Dianbo, Goyal, Anirudh, Dauwels, Justin
Deep Reinforcement Learning (RL) has become the leading approach for creating artificial agents in complex environments. Model-based approaches, which are RL methods with world models that predict environment dynamics, are among the most promising di
Externí odkaz:
http://arxiv.org/abs/2410.07836
Autor:
Wang, Zuowen, Gao, Chang, Wu, Zongwei, Conde, Marcos V., Timofte, Radu, Liu, Shih-Chii, Chen, Qinyu, Zha, Zheng-jun, Zhai, Wei, Han, Han, Liao, Bohao, Wu, Yuliang, Wan, Zengyu, Wang, Zhong, Cao, Yang, Tan, Ganchao, Chen, Jinze, Pei, Yan Ru, Brüers, Sasskia, Crouzet, Sébastien, McLelland, Douglas, Coenen, Oliver, Zhang, Baoheng, Gao, Yizhao, Li, Jingyuan, So, Hayden Kwok-Hay, Bich, Philippe, Boretti, Chiara, Prono, Luciano, Lică, Mircea, Dinucu-Jianu, David, Grîu, Cătălin, Lin, Xiaopeng, Ren, Hongwei, Cheng, Bojun, Zhang, Xinan, Vial, Valentin, Yezzi, Anthony, Tsai, James
This survey reviews the AIS 2024 Event-Based Eye Tracking (EET) Challenge. The task of the challenge focuses on processing eye movement recorded with event cameras and predicting the pupil center of the eye. The challenge emphasizes efficient eye tra
Externí odkaz:
http://arxiv.org/abs/2404.11770
Autor:
Meo, Cristian, Roy, Ankush, Lică, Mircea, Yin, Junzhe, Che, Zeineb Bou, Wang, Yanbo, Imhoff, Ruben, Uijlenhoet, Remko, Dauwels, Justin
This paper presents an innovative approach to extreme precipitation nowcasting by employing Transformer-based generative models, namely NowcastingGPT with Extreme Value Loss (EVL) regularization. Leveraging a comprehensive dataset from the Royal Neth
Externí odkaz:
http://arxiv.org/abs/2403.03929
This paper aims to explore the separation of the two forward passes in the Forward-Forward algorithm from a biological perspective in the context of sleep. We show the size of the gap between the sleep and awake phase influences the learning capabili
Externí odkaz:
http://arxiv.org/abs/2310.18647
Autor:
LICA, Mircea1 drmircealica@gmail.com, RADU, Victor Gheorghe1, CHIOTOROIU, Alexandru2, BEURAN, Mircea3
Publikováno v:
Romanian Journal of Medical Practice. 2018, Vol. 13 Issue 1, p29-35. 7p.
