( en | de | ru )

 

Disambiguation of "Kristiadi, Agustinus"

Author of the publication

copydeleteadd this publication to your clipboard
Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge

, , , and . Proceedings of the 22nd Conference on Computational Natural Language Learning, page 497--507. (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Agustinus Harjanto Tulusan

Agustinus Harjanto Tulusan

Agustinus Harjanto Tulusan

Agustinus Robert Uria

Agustinus Harjanto Tulusan

 

Other publications of authors with the same name

Incorporating Literals into Knowledge Graph Embeddings., , , , and . CoRR, (2018)Low-Cost Bayesian Methods for Fixing Neural Networks' Overconfidence. Tübingen University, Germany, (2023)base-search.net (ftunivtuebing:oai:publikationen.uni-tuebingen.de:10900/135535).Fast predictive uncertainty for classification with Bayesian deep networks., , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 822-832. PMLR, (2022)Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI., , , , , , , , , and 15 other author(s). CoRR, (2024)Incorporating Literals into Knowledge Graph Embeddings., , , , and . ISWC (1), volume 11778 of Lecture Notes in Computer Science, page 347-363. Springer, (2019)An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence., , and . NeurIPS, page 18789-18800. (2021)Being a Bit Frequentist Improves Bayesian Neural Networks., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 529-545. PMLR, (2022)Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks., , and . CoRR, (2022)On the Disconnect Between Theory and Practice of Overparametrized Neural Networks., , and . CoRR, (2023)Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization., , , and . CoRR, (2023)