AI & ML interests
Frontier research around Safe and aligned intelligence
Papers
Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit Attribution
$C$-$ΔΘ$: Circuit-Restricted Weight Arithmetic for Selective Refusal
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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 as Alignment: Making Internal Understanding a Design Principle
Paper • 2509.08592 • Published -
Interpretability-Aware Pruning for Efficient Medical Image Analysis
Paper • 2507.08330 • Published
-
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 as Alignment: Making Internal Understanding a Design Principle
Paper • 2509.08592 • Published -
Interpretability-Aware Pruning for Efficient Medical Image Analysis
Paper • 2507.08330 • Published