Robust PLSA Performs Better Than LDA. - Anna Potapenko; Konstantin V. Vorontsov (ECIR, 2013)

Tutorial on Probabilistic Topic Modeling: Additive Regularization for Stochastic Matrix Factorization. - Konstantin V. Vorontsov; Anna Potapenko (AIST, 2014)

Additive Regularization of Topic Models for Topic Selection and Sparse Factorization. - Konstantin V. Vorontsov; Anna Potapenko; Alexander Plavin (SLDS, 2015)

Additive regularization of topic models. - Konstantin V. Vorontsov; Anna Potapenko (Mach. Learn., 2015)

Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks. - Anna Potapenko; Artem Popov; Konstantin V. Vorontsov (CoRR, 2017)

Probabilistic Approach for Embedding Arbitrary Features of Text. - Anna Potapenko (AIST, 2018)

Learning and Evaluating Sparse Interpretable Sentence Embeddings. - Valentin Trifonov; Octavian-Eugen Ganea; Anna Potapenko; Thomas Hofmann 001 (BlackboxNLP@EMNLP, 2018)

Structural and functional learning for learning language use. - Angeliki Lazaridou; Anna Potapenko; Olivier Tieleman (ViGIL@NeurIPS, 2019)

Compressive Transformers for Long-Range Sequence Modelling. - Jack W. Rae; Anna Potapenko; Siddhant M. Jayakumar; Timothy P. Lillicrap (CoRR, 2019)

Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning. - Angeliki Lazaridou; Anna Potapenko; Olivier Tieleman (ACL, 2020)

Compressive Transformers for Long-Range Sequence Modelling. - Jack W. Rae; Anna Potapenko; Siddhant M. Jayakumar; Chloe Hillier; Timothy P. Lillicrap (ICLR, 2020)