Orion-MSP: Multi-Scale Sparse Attention for Tabular In-Context Learning
Paper
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2511.02818
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Published
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14
Lexsi Lab Papers
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TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models
Paper • 2511.02802 • Published • 13 -
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 -
Bridging the Gap in XAI-Why Reliable Metrics Matter for Explainability and Compliance
Paper • 2502.04695 • 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