👋 Open to Work

Prashant Raju

pcr2120

·

https://raju.ai

AI & ML interests

Representation Learning, Geometric Stability, Interpretability, Computational Neuroscience, Computational Biology, Biological Foundation Models

Recent Activity

authored a paper 6 days ago

Controversial stimuli: pitting neural networks against each other as models of human recognition

upvoted a paper 7 days ago

Controversial stimuli: pitting neural networks against each other as models of human recognition

updated a model about 1 month ago

pcr2120/shesha-geometry

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Organizations

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upvoted a paper 7 days ago

Controversial stimuli: pitting neural networks against each other as models of human recognition

Paper • 1911.09288 • Published Jul 15, 2020 • 1

upvoted 2 papers 3 months ago

The Geometric Alignment Tax: Tokenization vs. Continuous Geometry in Scientific Foundation Models

Paper • 2604.04155 • Published Apr 5 • 8

Geometric Reliability of Neural Population Codes: Sampling Calibration and Within-Session Nonstationarity

Paper • 2606.29655 • Published 29 days ago • 3

upvoted 2 papers 5 months ago

Geometric Phase Transition Enables Extreme Hippocampal Memory Capacity

Paper • 2605.17199 • Published May 16 • 6

From Syntax to Semantics: Geometric Stability as the Missing Axis of Perturbation Biology

Paper • 2603.00678 • Published Apr 25 • 1

upvoted 2 papers 6 months ago

The Geometric Canary: Predicting Steerability and Detecting Drift via Representational Stability

Paper • 2604.17698 • Published Apr 25 • 4

Directional coherence and effect magnitude in single-cell CRISPR perturbation responses

Paper • 2604.16642 • Published Aug 27 • 6

upvoted a paper 9 months ago

Geometric Stability: The Missing Axis of Representations

Paper • 2601.09173 • Published 5 days ago • 7