🏗️ Building on HF

Daniel Efaw PRO

Firemedic15

AI & ML interests

Security executive and AI practitioner building models to predict geopolitical conflict at the intersection of threat intelligence and machine learning. Currently developing models for civil war risk and high-volatility area forecasting.

Recent Activity

updated a Space about 6 hours ago

Firemedic15/repro-temporal-straightening-for-latent-planning

published a Space about 6 hours ago

Firemedic15/repro-temporal-straightening-for-latent-planning

updated a dataset about 6 hours ago

Firemedic15/repro-ts-artifacts

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Firemedic15 's Spaces 36

Reproduction: Temporal Straightening for Latent Planning

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Reproduction: How Hard Is Science?

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Reproduction: Towards Steering without Sacrifice: Principled Training of Steering Vectors for Prompt-only Interventions

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Reproduction: Probabilistic Retrofitting of Learned Simulators

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Reproduction: 1-Bit Wonder: Improving QAT Performance in the Low-Bit Regime through K-Means Quantization

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Reproduction: De-Linearizing Agent Traces: Bayesian Inference of Latent Partial Orders for Efficient Execution

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Reproduction: Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions

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Reproduction: RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models

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Reproduction: Evaluating Contextual Illegality: AI Compliance in Corporate Law Scenarios

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Conflict GPT 2

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Analyze geopolitical risks with an AI chat assistant

Reproduction: GEM-FI: Gated Evidential Mixtures with Fisher Modulation

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Reproduction: On the Intrinsic Limits of Transformer Image Embeddings in Non-Solvable Spatial Reasoning

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Reproduction: On the Ability of Transformers to Verify Plans

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Reproduction: IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference

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Reproduction: TriAttention: Efficient Long Reasoning with Trigonometric KV Compression

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Reproduction: Single-Rollout Hidden-State Dynamics for Training-Free RLVR Data Selection

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Reproduction: Multi-Round Human-AI Collaboration with User-Specified Requirements

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Reproduction: Large-Scale Notification Dispatch with Bundle Treatments and Multi-Outcome Uplift Optimization

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Reproduction: Innovation: An Almost Characterization of Hallucination

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