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Meenakshi Khosla
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A Data-driven Typology of Vision Models from Integrated Representational Metrics
Brain-model evaluations need the neuroai turing test
Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
Evaluating representational similarity measures from the lens of functional correspondence
Integrated representational signatures strengthen specificity in brains and models
Measuring the Measures: Discriminative Capacity of Representational Similarity Metrics Across Model Families
Modeling the language cortex with form-independent and enriched representations of sentence meaning reveals remarkable semantic abstractness
Representational Alignment Across Model Layers and Brain Regions with Hierarchical Optimal Transport
Seeing Through Words, Speaking Through Pixels: Deep Representational Alignment Between Vision and Language Models
Superposition disentanglement of neural representations reveals hidden alignment
Modeling the Human Visual System: Comparative Insights from Response‑Optimized and Task‑Optimized Vision Models, Language Models, and Different Readout Mechanisms
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