Urmăriți
Richard Antonello
Richard Antonello
Postdoctoral Scholar, Columbia University
Adresă de e-mail confirmată pe columbia.edu
Titlu
Citat de
Citat de
Anul
Predictive coding or just feature discovery? An alternative account of why language models fit brain data
R Antonello, A Huth
Neurobiology of Language 5 (1), 64-79, 2024
522024
Scaling laws for language encoding models in fMRI
R Antonello, A Vaidya, A Huth
Advances in Neural Information Processing Systems 36, 21895-21907, 2023
492023
Low-dimensional structure in the space of language representations is reflected in brain responses
R Antonello, JS Turek, V Vo, A Huth
Advances in neural information processing systems 34, 8332-8344, 2021
462021
Explaining black box text modules in natural language with language models
C Singh, AR Hsu, R Antonello, S Jain, AG Huth, B Yu, J Gao
arXiv preprint arXiv:2305.09863, 2023
372023
Selecting informative contexts improves language model finetuning
R Antonello, N Beckage, J Turek, A Huth
arXiv preprint arXiv:2005.00175, 2020
112020
Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions
V Benara, C Singh, J Morris, R Antonello, I Stoica, A Huth, J Gao
Advances in Neural Information Processing Systems 37, 124137-124162, 2025
6*2025
A generative framework to bridge data-driven models and scientific theories in language neuroscience
R Antonello, C Singh, S Jain, A Hsu, J Gao, B Yu, A Huth
arXiv preprint arXiv:2410.00812, 2024
22024
Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Models
R Antonello, E Cheng
UniReps: 2nd Edition of the Workshop on Unifying Representations in Neural …, 0
2*
How many bytes can you take out of brain-to-text decoding?
R Antonello, N Sarma, J Tang, J Song, A Huth
arXiv preprint arXiv:2405.14055, 2024
12024
BrainWavLM: Fine-tuning Speech Representations with Brain Responses to Language
N Vattikonda, AR Vaidya, RJ Antonello, AG Huth
arXiv preprint arXiv:2502.08866, 2025
2025
Predictive power in language encoding models
RJ Antonello
2024
Methods and apparatus to generate a surrogate model based on traces from a computing unit
JS Turek, M Capotã, P Mukherjee, R Antonello
US Patent App. 17/559,755, 2022
2022
Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEG
S Shams, R Antonello, G Mischler, S Bickel, N Mesgarani
Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.
Articole 1–13