Jonas

imadreamerboy

AI & ML interests

AI safety and security: training data and models for safety classification, guardrails, jailbreak detection, and security-focused agents.

Recent Activity

updated a collection about 7 hours ago

ICML 2026 Reproduction

updated a Space about 7 hours ago

imadreamerboy/repro-simulcost-cost-aware-benchmark-toolkit

published a Space about 7 hours ago

imadreamerboy/repro-simulcost-cost-aware-benchmark-toolkit

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imadreamerboy 's Spaces 43

Reproduction: SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs

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Reproduction: CauchyNet: Compact and Data-Efficient Learning Using Holomorphic Activation Functions

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Reproduction: A hitchhiker's guide to Poisson gradient estimation

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Reproduction: High-accuracy sampling for diffusion models and log-concave distributions

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Reproduction: The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure?

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Reproduction: τ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment

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Reproduction: MORE: A Multilingual Document Parsing Benchmark and Evaluation

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Controlled LLM Training on Spectral Sphere — reproduction logbook

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Reproduction: Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers

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Reproduction: Chain-of-Thought Reasoning In The Wild Is Not Always Faithful

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Reproduction: The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models

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Mountain Car analytic-controller toy

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Reproduction: SAQNN: Spectral Adaptive Quantum Neural Network as a Universal Approximator

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Reproduction: Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator

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Reproduction: Semi-Supervised Hypothesis Testing by Betting on Predictions

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Reproduction: An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale

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Reproduction: A Solver-Free Training Method for Predict-then-Optimize

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Reproduction: Flat Minima and Generalization: Insights from Stochastic Convex Optimization

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Reproduction: Romberg-Extrapolated Zeroth-Order Gradient Estimator: Higher-Order Bias Reduction with Preserved Leading Directional Variance

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CHB Digits Quickstart Evidence

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Explore quickstart run evidence for sklearn digits data

ReViT bounded CPU equivariance check

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Verify CPU equivariance of ReViT models

Continual Learning Theory Evidence

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KLENT bounded source and proof audit

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Low Kruskal-Rank Adaptation: source-audit candidate

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View source audit details for Low Kruskal‑Rank Adaptation