The Approximation Rank of Softmax Attention
Sharp Geometric Laws and Robust Interaction Dimension
Studies the approximation complexity of softmax attention through support geometry and softmax-visible interaction dimension.
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Studies in learning, decision-making, and quantitative methods.
13 results
Sharp Geometric Laws and Robust Interaction Dimension
Studies the approximation complexity of softmax attention through support geometry and softmax-visible interaction dimension.
Project lead
GeoAttention
Studies which named geometric descriptions of attention are intrinsic and which depend on admissible changes of query/key representation.
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Research on post-training attention adaptation via geometry-adaptive fine-tuning.
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Research on softmax policy improvement, its robustness, and its failure modes.
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A hierarchical long-horizon research workflow centred on durable state, explicit handoffs, independent verification, recovery, and bounded agent authority.
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A bounded transformer-news overlay for Chinese macro-asset allocation with explicit portfolio controls and frozen evaluation.
Microprice, order-book imbalance, and toxicity-adjusted factor variants examined through parameter sweeps and long–short validation.
A multi-period retirement-allocation study combining wealth, annuity adequacy, mortality assumptions, and later health-state extensions.
Empirical fixed-income research using a rule-based disclosure-risk score, issue-spread regressions, and conditional portfolio sorts.
Research on spectral-risk decisions, diverse scenarios, and selective robustness evaluation.
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