Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution
Paper • 2605.15138 • Published • 6
Pratinav Seth
pratinavsetharya
AI & ML interests
Explainable AI (XAI), AI Alignment & Safety, Trustworthy Machine Learning, Computer Vision, Medical Imaging, AI for Social Good & Sustainability.
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papers 7 months ago
Orion-MSP: Multi-Scale Sparse Attention for Tabular In-Context Learning
Paper • 2511.02818 • Published • 15
TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models
Paper • 2511.02802 • Published • 16
Interpretability-Aware Pruning for Efficient Medical Image Analysis
Paper • 2507.08330 • Published
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
Paper • 2410.09032 • Published • 1
Interpretability as Alignment: Making Internal Understanding a Design Principle
Paper • 2509.08592 • Published
SELF-PERCEPT: Introspection Improves Large Language Models' Detection of Multi-Person Mental Manipulation in Conversations
Paper • 2505.20679 • Published
xai_evals : A Framework for Evaluating Post-Hoc Local Explanation Methods
Paper • 2502.03014 • Published
DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models
Paper • 2411.12643 • Published