Richard J. Antonello

According to our database, Richard J. Antonello authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Interpretable Embeddings of Speech Enhance and Explain Brain Encoding Performance of Audio Models.

Riki Shimizu, Richard J. Antonello, Chandan Singh, Nima Mesgarani

CoRR, July, 2025

Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEG.

Siavash Shams, Richard J. Antonello, Gavin Mischler, Stephan Bickel, Ashesh D. Mehta, Nima Mesgarani

CoRR, June, 2025

BrainWavLM: Fine-tuning Speech Representations with Brain Responses to Language.

Nishitha Vattikonda, Aditya R. Vaidya, Richard J. Antonello, Alexander G. Huth

CoRR, February, 2025

2024

A generative framework to bridge data-driven models and scientific theories in language neuroscience.

Richard J. Antonello, Chandan Singh, Shailee Jain, Aliyah R. Hsu, Jianfeng Gao, Bin Yu, Alexander Huth

CoRR, 2024

Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Models.

Emily Cheng, Richard J. Antonello

CoRR, 2024

Crafting Interpretable Embeddings by Asking LLMs Questions.

Vinamra Benara, Chandan Singh, John X. Morris, Richard J. Antonello, Ion Stoica, Alexander G. Huth, Jianfeng Gao

CoRR, 2024

How Many Bytes Can You Take Out Of Brain-To-Text Decoding?

Richard J. Antonello, Nihita Sarma, Jerry Tang, Jiaru Song, Alexander Huth

CoRR, 2024

Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions.

Vinamra Benara, Chandan Singh, John X. Morris, Richard J. Antonello, Ion Stoica, Alexander Huth, Jianfeng Gao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Explaining black box text modules in natural language with language models.

Chandan Singh, Aliyah R. Hsu, Richard J. Antonello, Shailee Jain, Alexander G. Huth, Bin Yu, Jianfeng Gao

CoRR, 2023

Scaling laws for language encoding models in fMRI.

Richard J. Antonello, Aditya R. Vaidya, Alexander Huth

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses.

Richard J. Antonello, Javier S. Turek, Vy Ai Vo, Alexander Huth

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Selecting Informative Contexts Improves Language Model Fine-tuning.

Richard J. Antonello, Nicole Beckage, Javier Turek, Alexander Huth

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Selecting Informative Contexts Improves Language Model Finetuning.

Richard J. Antonello, Javier Turek, Alexander Huth

CoRR, 2020