Meenakshi Khosla

According to our database1, Meenakshi Khosla authored at least 18 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts.
CoRR, February, 2025

Brain-Model Evaluations Need the NeuroAI Turing Test.
CoRR, February, 2025

Sparse components distinguish visual pathways & their alignment to neural networks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Evaluating Representational Similarity Measures from the Lens of Functional Correspondence.
CoRR, 2024

Modeling the Human Visual System: Comparative Insights from Response-Optimized and Task-Optimized Vision Models, Language Models, and different Readout Mechanisms.
CoRR, 2024

2023
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning.
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.
NeuroImage, 2022

NeuroGen: Activation optimized image synthesis for discovery neuroscience.
NeuroImage, 2022

Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models.
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.
CoRR, 2021

2020
Neural encoding with visual attention.
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.
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.
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.
NeuroImage, 2019

Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018
Machine learning in resting-state fMRI analysis.
CoRR, 2018

Ensemble learning with 3D convolutional neural networks for connectome-based prediction.
CoRR, 2018

3D Convolutional Neural Networks for Classification of Functional Connectomes.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018


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