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2020 – today
- 2024
[j5]Ruogu Lin, Thomas Naselaris, Kendrick N. Kay
, Leila Wehbe:
Stacked regressions and structured variance partitioning for interpretable brain maps. NeuroImage 298: 120772 (2024)- [c15]Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe:
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. ICLR 2024 - [i10]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 abs/2406.13735 (2024) - 2023
- [j4]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): 1415-1426 (2023) - [c14]Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr:
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. NeurIPS 2023 - [c13]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 - [c12]Joel Ye, Jennifer L. Collinger, Leila Wehbe, Robert Gaunt:
Neural Data Transformer 2: Multi-context Pretraining for Neural Spiking Activity. NeurIPS 2023 - [i9]Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr:
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. CoRR abs/2306.03089 (2023) - [i8]Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe:
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. CoRR abs/2310.04420 (2023) - [i7]Yuchen Zhou, Emmy Liu, Graham Neubig, Leila Wehbe:
Divergences between Language Models and Human Brains. CoRR abs/2311.09308 (2023) - 2022
- [j3]Mariya Toneva, Tom M. Mitchell, Leila Wehbe:
Combining computational controls with natural text reveals aspects of meaning composition. Nat. Comput. Sci. 2(11): 745-757 (2022) - [c11]Mariya Toneva, Jennifer Williams, Anand Bollu, Christoph Dann, Leila Wehbe:
Same Cause; Different Effects in the Brain. CLeaR 2022: 787-825 - [i6]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 L. 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:
Prospective Learning: Back to the Future. CoRR abs/2201.07372 (2022) - [i5]Mariya Toneva, Jennifer Williams, Anand Bollu, Christoph Dann, Leila Wehbe:
Same Cause; Different Effects in the Brain. CoRR abs/2202.10376 (2022) - 2021
- [j2]Srinivas Ravishankar, Mariya Toneva, Leila Wehbe:
Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling. Frontiers Comput. Neurosci. 15: 737324 (2021) - [c10]Aniketh Janardhan Reddy, Leila Wehbe:
Can fMRI reveal the representation of syntactic structure in the brain? NeurIPS 2021: 9843-9856 - [i4]Jennifer Williams, Leila Wehbe:
Behavior measures are predicted by how information is encoded in an individual's brain. CoRR abs/2112.06048 (2021) - 2020
- [c9]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 - [i3]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 abs/2009.08424 (2020)
2010 – 2019
- 2019
- [c8]Hong-You Chen, Chin-Hua Hu, Leila Wehbe, Shou-De Lin:
Self-Discriminative Learning for Unsupervised Document Embedding. NAACL-HLT (1) 2019: 2465-2474 - [c7]Dan Schwartz, Mariya Toneva, Leila Wehbe:
Inducing brain-relevant bias in natural language processing models. NeurIPS 2019: 14100-14110 - [c6]Mariya Toneva, Leila Wehbe:
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). NeurIPS 2019: 14928-14938 - [c5]Aria Y. Wang, Michael J. Tarr, Leila Wehbe:
Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity. NeurIPS 2019: 15475-15485 - [i2]Mariya Toneva, Leila Wehbe:
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). CoRR abs/1905.11833 (2019) - [i1]Dan Schwartz, Mariya Toneva, Leila Wehbe:
Inducing brain-relevant bias in natural language processing models. CoRR abs/1911.03268 (2019) - 2016
- [e1]Irina Rish, Georg Langs, Leila Wehbe, Guillermo A. Cecchi, Kai-min Kevin Chang, Brian Murphy:
Machine Learning and Interpretation in Neuroimaging - 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers. Lecture Notes in Computer Science 9444, Springer 2016, ISBN 978-3-319-45173-2 [contents] - 2015
- [b1]Leila Wehbe:
The Time and Location of Natural Reading Processes in the Brain. Carnegie Mellon University, USA, 2015 - [c4]Aaditya Ramdas, Leila Wehbe:
Nonparametric Independence Testing for Small Sample Sizes. IJCAI 2015: 3777-3783 - [c3]Leila Wehbe:
The Spatio-Temporal Representation of Natural Reading. IJCAI 2015: 4407-4408 - [c2]Alona Fyshe, Leila Wehbe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell:
A Compositional and Interpretable Semantic Space. HLT-NAACL 2015: 32-41 - 2014
- [c1]Leila Wehbe, Ashish Vaswani, Kevin Knight, Tom M. Mitchell:
Aligning context-based statistical models of language with brain activity during reading. EMNLP 2014: 233-243 - 2012
- [j1]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): 451-463 (2012)
Coauthor Index
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last updated on 2024-10-09 21:29 CEST by the dblp team
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