A review of landmark articles in the field of co-evolutionary computing. - Noe Casas (CoRR, 2015)

Genetic Algorithms for multimodal optimization: a review. - Noe Casas (CoRR, 2015)

Deep Deterministic Policy Gradient for Urban Traffic Light Control. - Noe Casas (CoRR, 2017)

A differentiable BLEU loss. Analysis and first results. - Noe Casas; José A. R. Fonollosa; Marta R. Costa-jussà (ICLR (Workshop), 2018)

The TALP-UPC Machine Translation Systems for WMT18 News Shared Translation Task. - Noe Casas; Carlos Escolano; Marta R. Costa-jussà; José A. R. Fonollosa (WMT (shared task), 2018)

English-Catalan Neural Machine Translation in the Biomedical Domain through the cascade approach. - Marta R. Costa-jussà; Noe Casas; Maite Melero (CoRR, 2018)

Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models. - Daniel Torregrosa; Nivranshu Pasricha; Maraim Masoud; Bharathi Raja Chakravarthi; Juan A. Alonso; Noe Casas; Mihael Arcan (MTSummit (2), 2019)

The TALP-UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT. - Noe Casas; José A. R. Fonollosa; Carlos Escolano; Christine Basta; Marta R. Costa-jussà (WMT (2), 2019)

Evaluating the Underlying Gender Bias in Contextualized Word Embeddings. - Christine Basta; Marta Ruiz Costa-jussà; Noe Casas (CoRR, 2019)

Joint Source-Target Self Attention with Locality Constraints. - José A. R. Fonollosa; Noe Casas; Marta R. Costa-jussà (CoRR, 2019)

Chinese-Catalan: A Neural Machine Translation Approach Based on Pivoting and Attention Mechanisms. - Marta R. Costa-jussà; Noe Casas; Carlos Escolano; José A. R. Fonollosa (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019)

Syntax-driven Iterative Expansion Language Models for Controllable Text Generation. - Noe Casas; José A. R. Fonollosa; Marta R. Costa-jussà (SPNLP@EMNLP, 2020)

Combining Subword Representations into Word-level Representations in the Transformer Architecture. - Noe Casas; Marta R. Costa-jussà; José A. R. Fonollosa (ACL (student), 2020)

Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios. - Daniel Torregrosa; Nivranshu Pasricha; Maraim Masoud; Bharathi Raja Chakravarthi; Juan A. Alonso; Noe Casas; Mihael Arcan (CoRR, 2020)

Do all roads lead to Rome? Understanding the role of initialization in iterative back-translation. - Mikel Artetxe; Gorka Labaka; Noe Casas; Eneko Agirre (Knowl. Based Syst., 2020)

Injection of linguistic knowledge into neural text generation models. - Noé Casas Manzanares (2020)

Sparsely Factored Neural Machine Translation. - Noe Casas; José A. R. Fonollosa; Marta R. Costa-jussà (CoRR, 2021)

Extensive study on the underlying gender bias in contextualized word embeddings. - Christine Basta; Marta R. Costa-jussà; Noe Casas (Neural Comput. Appl., 2021)

Linguistic knowledge-based vocabularies for Neural Machine Translation. - Noe Casas; Marta R. Costa-jussà; José A. R. Fonollosa; Juan A. Alonso; Ramón Fanlo (Nat. Lang. Eng., 2021)