Zobrazeno 1 - 10
of 284
pro vyhledávání: '"Cottrell, Garrison W"'
Autor:
Baldota, Siddhant, Ramaprasad, Shreyas Anantha, Bhamra, Jaspreet Kaur, Luna, Shane, Ramachandra, Ravi, Zen, Eugene, Kim, Harrison, Crawl, Daniel, Perez, Ismael, Altintas, Ilkay, Cottrell, Garrison W., Nguyen, Mai H.
Research has shown that climate change creates warmer temperatures and drier conditions, leading to longer wildfire seasons and increased wildfire risks in the United States. These factors have in turn led to increases in the frequency, extent, and s
Externí odkaz:
http://arxiv.org/abs/2212.14143
Autor:
Dewangan, Anshuman, Pande, Yash, Braun, Hans-Werner, Vernon, Frank, Perez, Ismael, Altintas, Ilkay, Cottrell, Garrison W., Nguyen, Mai H.
Publikováno v:
Remote Sensing. 2022; 14(4):1007
The size and frequency of wildland fires in the western United States have dramatically increased in recent years. On high-fire-risk days, a small fire ignition can rapidly grow and become out of control. Early detection of fire ignitions from initia
Externí odkaz:
http://arxiv.org/abs/2112.08598
Publikováno v:
In Neurocomputing 1 September 2024 596
Despite recent advances in Visual QuestionAnswering (VQA), it remains a challenge todetermine how much success can be attributedto sound reasoning and comprehension ability.We seek to investigate this question by propos-ing a new task ofrationale gen
Externí odkaz:
http://arxiv.org/abs/2004.02032
Autor:
Bachlechner, Thomas, Majumder, Bodhisattwa Prasad, Mao, Huanru Henry, Cottrell, Garrison W., McAuley, Julian
Deep networks often suffer from vanishing or exploding gradients due to inefficient signal propagation, leading to long training times or convergence difficulties. Various architecture designs, sophisticated residual-style networks, and initializatio
Externí odkaz:
http://arxiv.org/abs/2003.04887
Stories generated with neural language models have shown promise in grammatical and stylistic consistency. However, the generated stories are still lacking in common sense reasoning, e.g., they often contain sentences deprived of world knowledge. We
Externí odkaz:
http://arxiv.org/abs/1908.09451
We are interested in the task of generating multi-instrumental music scores. The Transformer architecture has recently shown great promise for the task of piano score generation; here we adapt it to the multi-instrumental setting. Transformers are co
Externí odkaz:
http://arxiv.org/abs/1907.04868
Recent advances in deep neural networks have enabled algorithms to compose music that is comparable to music composed by humans. However, few algorithms allow the user to generate music with tunable parameters. The ability to tune properties of gener
Externí odkaz:
http://arxiv.org/abs/1801.00887
As an efficient recurrent neural network (RNN) model, reservoir computing (RC) models, such as Echo State Networks, have attracted widespread attention in the last decade. However, while they have had great success with time series data [1], [2], man
Externí odkaz:
http://arxiv.org/abs/1711.05255