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Extending and Improving Wordnet via Unsupervised Word Embeddings., , , и . CoRR, (2017)Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition, , и . (2018)cite arxiv:1812.00793Comment: 69 pages. arXiv admin note: text overlap with arXiv:1710.02736.Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond., , и . CoRR, (2023)On the Benefits of Memory for Modeling Time-Dependent PDEs., , , и . CoRR, (2024)Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 24139-24172. PMLR, (2023)Representational aspects of depth and conditioning in normalizing flows., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 5628-5636. PMLR, (2021)Universal Approximation Using Well-Conditioned Normalizing Flows., , , и . NeurIPS, стр. 12700-12711. (2021)Progressive distillation induces an implicit curriculum., , , , и . ICLR, OpenReview.net, (2025)On Routing Disjoint Paths in Bounded Treewidth Graphs., , , и . SWAT, том 53 из LIPIcs, стр. 15:1-15:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2016)Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions., и . NeurIPS, (2022)