Zobrazeno 1 - 10
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pro vyhledávání: '"Barberan, CJ"'
The advent of Large Language Models (LLMs) has garnered significant popularity and wielded immense power across various domains within Natural Language Processing (NLP). While their capabilities are undeniably impressive, it is crucial to identify an
Externí odkaz:
http://arxiv.org/abs/2407.20529
Large language models (LLMs) have significantly transformed the landscape of Natural Language Processing (NLP). Their impact extends across a diverse spectrum of tasks, revolutionizing how we approach language understanding and generations. Neverthel
Externí odkaz:
http://arxiv.org/abs/2403.12503
Large Language Models (LLMs) have revolutionized the field of Natural Language Generation (NLG) by demonstrating an impressive ability to generate human-like text. However, their widespread usage introduces challenges that necessitate thoughtful exam
Externí odkaz:
http://arxiv.org/abs/2403.05750
Recurrent Neural Networks (RNNs) are important tools for processing sequential data such as time-series or video. Interpretability is defined as the ability to be understood by a person and is different from explainability, which is the ability to be
Externí odkaz:
http://arxiv.org/abs/2202.11811
Deep neural networks (DNs) provide superhuman performance in numerous computer vision tasks, yet it remains unclear exactly which of a DN's units contribute to a particular decision. NeuroView is a new family of DN architectures that are interpretabl
Externí odkaz:
http://arxiv.org/abs/2110.07778
Autor:
Alemohammad, Sina, Babaei, Hossein, Barberan, CJ, Liu, Naiming, Luzi, Lorenzo, Mason, Blake, Baraniuk, Richard G.
Deep neural networks have become essential for numerous applications due to their strong empirical performance such as vision, RL, and classification. Unfortunately, these networks are quite difficult to interpret, and this limits their applicability
Externí odkaz:
http://arxiv.org/abs/2110.04945
Autor:
Brenes, David, Barberan, CJ, Hunt, Brady, Parra, Sonia G., Salcedo, Mila P., Possati-Resende, Júlio C., Cremer, Miriam L., Castle, Philip E., Fregnani, José H.T.G., Maza, Mauricio, Schmeler, Kathleen M., Baraniuk, Richard, Richards-Kortum, Rebecca
Publikováno v:
In Computerized Medical Imaging and Graphics April 2022 97
Autor:
Alemohammad, Sina, Babaei, Hossein, Barberan, CJ, Liu, Naiming, Luzi, Lorenzo, Mason, Blake, Baraniuk, Richard G.
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Deep neural networks have become essential for numerous applications due to their strong empirical performance such as vision, RL, and classification. Unfortunately, these networks are quite difficult to interpret, and this limits their applicability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::746e30dd23a0f8a82ece6ea6182e4577
https://doi.org/10.1109/icassp43922.2022.9747078
https://doi.org/10.1109/icassp43922.2022.9747078
Autor:
Sapoval N; Department of Computer Science, Rice University, Houston, TX, USA., Aghazadeh A; Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA., Nute MG; Department of Computer Science, Rice University, Houston, TX, USA., Antunes DA; Department of Biology and Biochemistry, University of Houston, Houston, TX, USA., Balaji A; Department of Computer Science, Rice University, Houston, TX, USA., Baraniuk R; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA., Barberan CJ; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA., Dannenfelser R; Department of Computer Science, Rice University, Houston, TX, USA., Dun C; Department of Computer Science, Rice University, Houston, TX, USA., Edrisi M; Department of Computer Science, Rice University, Houston, TX, USA., Elworth RAL; Department of Computer Science, Rice University, Houston, TX, USA., Kille B; Department of Computer Science, Rice University, Houston, TX, USA., Kyrillidis A; Department of Computer Science, Rice University, Houston, TX, USA., Nakhleh L; Department of Computer Science, Rice University, Houston, TX, USA., Wolfe CR; Department of Computer Science, Rice University, Houston, TX, USA., Yan Z; Department of Computer Science, Rice University, Houston, TX, USA., Yao V; Department of Computer Science, Rice University, Houston, TX, USA., Treangen TJ; Department of Computer Science, Rice University, Houston, TX, USA. treangen@rice.edu.; Department of Bioengineering, Rice University, Houston, TX, USA. treangen@rice.edu.
Publikováno v:
Nature communications [Nat Commun] 2022 Apr 01; Vol. 13 (1), pp. 1728. Date of Electronic Publication: 2022 Apr 01.
Autor:
Elworth RAL; Department of Computer Science, Houston, TX 77005, USA., Wang Q; Systems, Synthetic, and Physical Biology (SSPB) Graduate Program, Houston, TX 77005, USA., Kota PK; Department of Bioengineering, Houston, TX 77005, USA., Barberan CJ; Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA., Coleman B; Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA., Balaji A; Department of Computer Science, Houston, TX 77005, USA., Gupta G; Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA., Baraniuk RG; Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA., Shrivastava A; Department of Computer Science, Houston, TX 77005, USA.; Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA., Treangen TJ; Department of Computer Science, Houston, TX 77005, USA.; Systems, Synthetic, and Physical Biology (SSPB) Graduate Program, Houston, TX 77005, USA.
Publikováno v:
Nucleic acids research [Nucleic Acids Res] 2020 Jun 04; Vol. 48 (10), pp. 5217-5234.