Meenakshi Khosla

According to our database, Meenakshi Khosla authored at least 25 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Integrated representational signatures strengthen specificity in brains and models.

Jialin Wu, Shreya Saha, Yiqing Bo, Meenakshi Khosla

CoRR, October, 2025

Superposition disentanglement of neural representations reveals hidden alignment.

André Longon, David Klindt, Meenakshi Khosla

CoRR, October, 2025

Modeling the language cortex with form-independent and enriched representations of sentence meaning reveals remarkable semantic abstractness.

Shreya Saha, Shurui Li, Greta Tuckute, Yuanning Li, Ru-Yuan Zhang, Leila Wehbe, Evelina Fedorenko, Meenakshi Khosla

CoRR, October, 2025

Representational Alignment Across Model Layers and Brain Regions with Hierarchical Optimal Transport.

Shaan Shah, Meenakshi Khosla

CoRR, October, 2025

A Data-driven Typology of Vision Models from Integrated Representational Metrics.

Jialin Wu, Shreya Saha, Yiqing Bo, Meenakshi Khosla

CoRR, September, 2025

Seeing Through Words, Speaking Through Pixels: Deep Representational Alignment Between Vision and Language Models.

Zoe Wanying He, Sean Trott, Meenakshi Khosla

CoRR, September, 2025

Measuring the Measures: Discriminative Capacity of Representational Similarity Metrics Across Model Families.

Jialin Wu, Shreya Saha, Yiqing Bo, Meenakshi Khosla

CoRR, September, 2025

Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts.

Chaitanya Kapoor, Sudhanshu Srivastava, Meenakshi Khosla

CoRR, February, 2025

Brain-Model Evaluations Need the NeuroAI Turing Test.

Jenelle Feather, Meenakshi Khosla, N. Apurva Ratan Murty, Aran Nayebi

CoRR, February, 2025

Sparse components distinguish visual pathways & their alignment to neural networks.

Ammar I Marvi, Nancy Kanwisher, Meenakshi Khosla

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Evaluating Representational Similarity Measures from the Lens of Functional Correspondence.

Yiqing Bo, Ansh Soni, Sudhanshu Srivastava, Meenakshi Khosla

CoRR, 2024

Modeling the Human Visual System: Comparative Insights from Response-Optimized and Task-Optimized Vision Models, Language Models, and different Readout Mechanisms.

Shreya Saha, Ishaan Chadha, Meenakshi Khosla

CoRR, 2024

2023

Soft Matching Distance: A metric on neural representations that captures single-neuron tuning.

Meenakshi Khosla, Alex H. Williams

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

2022

Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network.

Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

NeuroImage, 2022

NeuroGen: Activation optimized image synthesis for discovery neuroscience.

Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Ghislain St-Yves, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski

NeuroImage, 2022

Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

NeuroGen: activation optimized image synthesis for discovery neuroscience.

Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski

CoRR, 2021

2020

Neural encoding with visual attention.

Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

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

From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity.

Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response.

Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

NeuroImage, 2019

Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

Machine learning in resting-state fMRI analysis.

Meenakshi Khosla, Keith Jamison, Gia H. Ngo, Amy Kuceyeski, Mert R. Sabuncu

CoRR, 2018

Ensemble learning with 3D convolutional neural networks for connectome-based prediction.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

CoRR, 2018

3D Convolutional Neural Networks for Classification of Functional Connectomes.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018