Artificial sound change: Language change and deep convolutional neural networks in iterative learning. - Gasper Begus (CoRR, 2020)

Generative Adversarial Phonology: Modeling Unsupervised Phonetic and Phonological Learning With Neural Networks. - Gasper Begus (Frontiers Artif. Intell., 2020)

Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales. - Jacob Andreas; Gasper Begus; Michael M. Bronstein; Roee Diamant; Denley Delaney; Shane Gero; Shafi Goldwasser; David F. Gruber; Sarah de Haas; Peter Malkin; Roger Payne; Giovanni Petri; et al. (CoRR, 2021)

Interpreting intermediate convolutional layers of CNNs trained on raw speech. - Gasper Begus; Alan Zhou (CoRR, 2021)

CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks. - Gasper Begus (Neural Networks, 2021)

Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication. - Gasper Begus (Trans. Assoc. Comput. Linguistics, 2021)

Interpreting Intermediate Convolutional Layers In Unsupervised Acoustic Word Classification. - Gasper Begus; Alan Zhou (ICASSP, 2022)

Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech data. - Gasper Begus; Alan Zhou (INTERSPEECH, 2022)

Local and non-local dependency learning and emergence of rule-like representations in speech data by deep convolutional generative adversarial networks. - Gasper Begus (Comput. Speech Lang., 2022)

Interpreting Intermediate Convolutional Layers of Generative CNNs Trained on Waveforms. - Gasper Begus; Alan Zhou (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Articulation GAN: Unsupervised Modeling of Articulatory Learning. - Gasper Begus; Alan Zhou; Peter Wu; Gopala Krishna Anumanchipalli (ICASSP, 2023)

Approaching an unknown communication system by latent space exploration and causal inference. - Gasper Begus; Andrej Leban; Shane Gero (CoRR, 2023)

AI-assisted coding: Experiments with GPT-4. - Russell A. Poldrack; Thomas Lu; Gasper Begus (CoRR, 2023)

Large Linguistic Models: Analyzing theoretical linguistic abilities of LLMs. - Gasper Begus; Maksymilian Dabkowski; Ryan Rhodes (CoRR, 2023)

Basic syntax from speech: Spontaneous concatenation in unsupervised deep neural networks. - Gasper Begus; Thomas Lu; Zili Wang 004 (CoRR, 2023)

Large language models and (non-)linguistic recursion. - Maksymilian Dabkowski; Gasper Begus (CoRR, 2023)

CiwaGAN: Articulatory information exchange. - Gasper Begus; Thomas Lu; Alan Zhou; Peter Wu; Gopala Krishna Anumanchipalli (CoRR, 2023)

Exploring the encoding of linguistic representations in the Fully-Connected Layer of generative CNNs for Speech. - Bruno Ferenc Segedin; Gasper Begus (CoRR, 2025)