Alexander G. Huth

According to our database, Alexander G. Huth authored at least 27 papers between 2008 and 2024.

Collaborative distances:

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

2024

Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks.

Mathis Pink, Vy A. Vo, Qinyuan Wu, Jianing Mu, Javier S. Turek, Uri Hasson, Kenneth A. Norman, Sebastian Michelmann, Alexander Huth, Mariya Toneva

CoRR, 2024

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

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

CoRR, 2024

Crafting Interpretable Embeddings by Asking LLMs Questions.

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

CoRR, 2024

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

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

CoRR, 2024

2023

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

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

CoRR, 2023

Brain encoding models based on multimodal transformers can transfer across language and vision.

Jerry Tang, Meng Du, Vy A. Vo, Vasudev Lal, Alexander Huth

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

Scaling laws for language encoding models in fMRI.

Richard 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

Humans and language models diverge when predicting repeating text.

Aditya R. Vaidya, Javier Turek, Alexander Huth

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

2022

Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech.

Aditya R. Vaidya, Shailee Jain, Alexander Huth

Proceedings of the International Conference on Machine Learning, 2022

2021

Physically Plausible Pose Refinement using Fully Differentiable Forces.

Akarsh Kumar, Aditya R. Vaidya, Alexander G. Huth

CoRR, 2021

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

Richard 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

Multi-timescale Representation Learning in LSTM Language Models.

Shivangi Mahto, Vy Ai Vo, Javier S. Turek, Alexander Huth

Proceedings of the 9th International Conference on Learning Representations, 2021

Selecting Informative Contexts Improves Language Model Fine-tuning.

Richard 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

Deep Generative Modeling for Scene Synthesis via Hybrid Representations.

Zaiwei Zhang, Zhenpei Yang, Chongyang Ma, Linjie Luo, Alexander Huth, Etienne Vouga, Qixing Huang

ACM Trans. Graph., 2020

Selecting Informative Contexts Improves Language Model Finetuning.

Richard Antonello, Javier Turek, Alexander Huth

CoRR, 2020

Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech.

Shailee Jain, Vy A. Vo, Shivangi Mahto, Amanda LeBel, Javier S. Turek, Alexander Huth

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network.

Javier Turek, Shailee Jain, Vy A. Vo, Mihai Capota, Alexander Huth, Theodore L. Willke

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Voxelwise encoding models with non-spherical multivariate normal priors.

Anwar Nunez-Elizalde, Alexander G. Huth, Jack L. Gallant

NeuroImage, 2019

Are We Ready for Real-world Neuroscience?

Pawel J. Matusz, Suzanne Dikker, Alexander G. Huth, Catherine Perrodin

J. Cogn. Neurosci., 2019

A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between.

Javier S. Turek, Shailee Jain, Mihai Capota, Alexander G. Huth, Theodore L. Willke

CoRR, 2019

2018

Incorporating Context into Language Encoding Models for fMRI.

Shailee Jain, Alexander Huth

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling.

Javier S. Turek, Alexander G. Huth

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Sparse and low-rank approximations of large symmetric matrices using biharmonic interpolation.

Javier S. Turek, Alexander Huth

CoRR, 2017

2016

Natural speech reveals the semantic maps that tile human cerebral cortex.

Alexander G. Huth, Wendy A. de Heer, Thomas L. Griffiths, Frédéric E. Theunissen, Jack L. Gallant

Nat., 2016

2015

Pycortex: an interactive surface visualizer for fMRI.

James S. Gao, Alexander G. Huth, Mark D. Lescroart, Jack L. Gallant

Frontiers Neuroinformatics, 2015

2010

Anthropic correction of information estimates and its application to neural coding.

Michael Gastpar, Patrick R. Gill, Alexander G. Huth, Frédéric E. Theunissen

IEEE Trans. Inf. Theory, 2010

2008

Decoding What People See from Where They Look: Predicting Visual Stimuli from Scanpaths.

Moran Cerf, Jonathan Harel, Alex Huth, Wolfgang Einhäuser, Christof Koch

Proceedings of the Attention in Cognitive Systems, 2008