Leila Wehbe

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 25

Top Topics

Semantic Representations

Natural Language

Small Sample Size

Top Venues

Publications

Rushikesh Zawar, Shaurya Dewan, Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe
StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images. CoRR (2024)
Ruogu Lin, Thomas Naselaris, Kendrick N. Kay, Leila Wehbe
Stacked regressions and structured variance partitioning for interpretable brain maps. NeuroImage 298 (2024)
Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. ICLR (2024)
Gabriel Sarch, Michael J. Tarr, Katerina Fragkiadaki, Leila Wehbe
Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images. NeurIPS (2023)
Joel Ye, Jennifer L. Collinger, Leila Wehbe, Robert Gaunt
Neural Data Transformer 2: Multi-context Pretraining for Neural Spiking Activity. NeurIPS (2023)
Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. CoRR (2023)
Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. CoRR (2023)
Yuchen Zhou, Emmy Liu, Graham Neubig, Leila Wehbe
Divergences between Language Models and Human Brains. CoRR (2023)
Andrew Luo, Maggie Henderson, Leila Wehbe, Michael J. Tarr
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. NeurIPS (2023)
Aria Y. Wang, Kendrick N. Kay, Thomas Naselaris, Michael J. Tarr, Leila Wehbe
Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset. Nat. Mac. Intell. 5 (12) (2023)
Mariya Toneva, Tom M. Mitchell, Leila Wehbe
Combining computational controls with natural text reveals aspects of meaning composition. Nat. Comput. Sci. 2 (11) (2022)
Mariya Toneva, Jennifer Williams, Anand Bollu, Christoph Dann, Leila Wehbe
Same Cause; Different Effects in the Brain. CLeaR (2022)
Joshua T. Vogelstein, Timothy 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 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
Prospective Learning: Back to the Future. CoRR (2022)
Mariya Toneva, Jennifer Williams, Anand Bollu, Christoph Dann, Leila Wehbe
Same Cause; Different Effects in the Brain. CoRR (2022)
Srinivas Ravishankar, Mariya Toneva, Leila Wehbe
Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling. Frontiers Comput. Neurosci. 15 (2021)
Aniketh Janardhan Reddy, Leila Wehbe
Can fMRI reveal the representation of syntactic structure in the brain? NeurIPS (2021)
Jennifer Williams, Leila Wehbe
Behavior measures are predicted by how information is encoded in an individual's brain. CoRR (2021)
Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. CoRR (2020)
Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. NeurIPS (2020)
Aria Wang, Michael J. Tarr, Leila Wehbe
Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity. NeurIPS (2019)
Hong-You Chen, Chin-Hua Hu, Leila Wehbe, Shou-De Lin
Self-Discriminative Learning for Unsupervised Document Embedding. NAACL-HLT (1) (2019)
Mariya Toneva, Leila Wehbe
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). NeurIPS (2019)
Dan Schwartz, Mariya Toneva, Leila Wehbe
Inducing brain-relevant bias in natural language processing models. NeurIPS (2019)
Mariya Toneva, Leila Wehbe
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). CoRR (2019)
Dan Schwartz, Mariya Toneva, Leila Wehbe
Inducing brain-relevant bias in natural language processing models. CoRR (2019)
Alona Fyshe, Leila Wehbe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell
A Compositional and Interpretable Semantic Space. HLT-NAACL (2015)
Leila Wehbe
The Spatio-Temporal Representation of Natural Reading. IJCAI (2015)
Aaditya Ramdas, Leila Wehbe
Nonparametric Independence Testing for Small Sample Sizes. IJCAI (2015)
Leila Wehbe, Ashish Vaswani, Kevin Knight, Tom M. Mitchell
Aligning context-based statistical models of language with brain activity during reading. EMNLP (2014)
Gustavo P. Sudre, Dean Pomerleau, Mark Palatucci, Leila Wehbe, Alona Fyshe, Riitta Salmelin, Tom M. Mitchell
Tracking neural coding of perceptual and semantic features of concrete nouns. NeuroImage 62 (1) (2012)