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Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms.

, , , , , , , , and . ACL (1), page 440-450. Association for Computational Linguistics, (2018)

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Thirumanikandan Subramanian University of Stuttgart

Mixed Reality Tool to simulate and evaluate user interactions in the Interior of automated vehicles, , and . Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, page 304–306. New York, NY, USA, Association for Computing Machinery, (Sep 18, 2023)
Mixed Reality Tool to simulate and evaluate user interactions in the Interior of automated vehicles, , and . Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, page 304–306. New York, NY, USA, Association for Computing Machinery, (Sep 18, 2023)Characterisation of the conveying effect of turned radial shaft seal counter-surfaces using a simplified hydrodynamic simulation model, , , , , , and . Forschung im Ingenieurwesen, (Jan 31, 2023)
 

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Convergence Analysis of the Variance in Gaussian Belief Propagation., and . IEEE Trans. Signal Processing, 62 (19): 5119-5131 (2014)Unsupervised Learning with Truncated Gaussian Graphical Models., , , , and . CoRR, (2016)Deconvolutional Latent-Variable Model for Text Sequence Matching., , , , and . AAAI, page 5438-5445. AAAI Press, (2018)Distributed Estimation of Variance in Gaussian Graphical Model via Belief Propagation: Accuracy Analysis and Improvement., and . IEEE Trans. Signal Processing, 63 (23): 6258-6271 (2015)Document Hashing with Mixture-Prior Generative Models., , , and . EMNLP/IJCNLP (1), page 5225-5234. Association for Computational Linguistics, (2019)Nonlinear Statistical Learning with Truncated Gaussian Graphical Models., , , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1948-1957. JMLR.org, (2016)NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing., , , , , , and . ACL (1), page 2041-2050. Association for Computational Linguistics, (2018)Symmetric Variational Autoencoder and Connections to Adversarial Learning., , , , , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 661-669. PMLR, (2018)A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks., , and . NIPS, page 4486-4495. (2017)Complexity reduction of signal detection by exploiting correlation characteristics of spreading sequences., , , and . Int. J. Communication Systems, 22 (11): 1427-1443 (2009)