Leila Wehbe

According to our database, Leila Wehbe authored at least 24 papers between 2012 and 2023.

Collaborative distances:

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

2023

Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset.

Aria Y. Wang, Kendrick N. Kay, Thomas Naselaris, Michael J. Tarr, Leila Wehbe

Nat. Mac. Intell., December, 2023

Divergences between Language Models and Human Brains.

Yuchen Zhou, Emmy Liu, Graham Neubig, Leila Wehbe

CoRR, 2023

BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity.

Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe

CoRR, 2023

Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models.

Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr

CoRR, 2023

Neural Data Transformer 2: Multi-context Pretraining for Neural Spiking Activity.

Joel Ye, Jennifer L. Collinger, Leila Wehbe, Robert Gaunt

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

Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images.

Gabriel Sarch, Michael J. Tarr, Katerina Fragkiadaki, Leila Wehbe

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

Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models.

Andrew Luo, Maggie Henderson, Leila Wehbe, Michael J. Tarr

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

2022

Combining computational controls with natural text reveals aspects of meaning composition.

Mariya Toneva, Tom M. Mitchell, Leila Wehbe

Nat. Comput. Sci., 2022

Prospective Learning: Back to the Future.

Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang

CoRR, 2022

Same Cause; Different Effects in the Brain.

Mariya Toneva, Jennifer Williams, Anand Bollu, Christoph Dann, Leila Wehbe

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling.

Srinivas Ravishankar, Mariya Toneva, Leila Wehbe

Frontiers Comput. Neurosci., 2021

Behavior measures are predicted by how information is encoded in an individual's brain.

Jennifer Williams, Leila Wehbe

CoRR, 2021

Can fMRI reveal the representation of syntactic structure in the brain?

Aniketh Janardhan Reddy, Leila Wehbe

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

2020

Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction.

Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell

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

2019

Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity.

Aria Wang, Michael J. Tarr, Leila Wehbe

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain).

Mariya Toneva, Leila Wehbe

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Inducing brain-relevant bias in natural language processing models.

Dan Schwartz, Mariya Toneva, Leila Wehbe

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Self-Discriminative Learning for Unsupervised Document Embedding.

Hong-You Chen, Chin-Hua Hu, Leila Wehbe, Shou-De Lin

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2015

The Time and Location of Natural Reading Processes in the Brain.

Leila Wehbe

PhD thesis, 2015

A Compositional and Interpretable Semantic Space.

Alona Fyshe, Leila Wehbe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

The Spatio-Temporal Representation of Natural Reading.

Leila Wehbe

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Nonparametric Independence Testing for Small Sample Sizes.

Aaditya Ramdas, Leila Wehbe

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Aligning context-based statistical models of language with brain activity during reading.

Leila Wehbe, Ashish Vaswani, Kevin Knight, Tom M. Mitchell

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2012

Tracking neural coding of perceptual and semantic features of concrete nouns.

Gustavo P. Sudre, Dean Pomerleau, Mark Palatucci, Leila Wehbe, Alona Fyshe, Riitta Salmelin, Tom M. Mitchell

NeuroImage, 2012