Research

Run a bounded soft-mode reduced recovery experiment for forward-backward representations with executable evidence.

Execute a bounded D4RL-style offline recovery proxy with fixed-dataset training and normalized-score evidence.

Classify offline RL datasets by D4RL challenge properties and explain benchmark implications from metadata.

Apply noisy classifier log-probability gradients to reverse diffusion steps with explicit guidance-scale checks.

Run a bounded DDPM-PA proxy optimizer step and emit mechanism-faithful recovery traces and metrics.

Run a bounded soft-mode proxy DDPM recovery experiment using generated module skills.

Build DDPM beta schedules and closed-form forward noising coefficients for recovery experiments.

Compute diversity and correspondence diagnostics for few-shot image generation recovery experiments.

Compute cross-domain distance consistency softmax-KL losses for few-shot generator adaptation experiments.

Run a bounded ToxiGen-style classifier update and report validator-compatible before-after loss, AUC, and parameter evidence.

Run a bounded standard-versus-chain-of-thought proxy recovery experiment and emit auditable recovery artifacts.

Compute Kernelized Stein Discrepancy pairwise Stein kernels and U/V-statistic estimates from samples, model scores, and an RBF kernel.

Run a bounded 1D Gaussian-mixture KSD-U recovery experiment for the Kernelized Stein Discrepancy paper.

Use this skill to compose PMD mixture protocol, KDE update, and density metrics modules into an executable bounded soft-mode recovery experiment with auditable evidence.

Minimise empirical Stein discrepancy objectives with bounded searches and auditable loss traces for recovery experiments.

Build continuous denoising score-matching targets, losses, and reduced optimizer evidence for Score SDE.

Validate reduced or full SBI recovery artifacts, source boundaries, mechanism checks, and metric reporting.

Run a bounded Gaussian/Gaussian SBI proxy recovery that exercises F-NPSE score training, composition, and sampling.

Run bounded SBI benchmark recovery from generated skills while enforcing source boundaries and validator-compatible evidence.

Run APT-style sequential simulator proposal rounds with auditable prior, proposal, observation, and update records for likelihood-free inference recovery.

Compose CoFi coarse and fine pruning masks and summarize active transformer structures for reduced recovery experiments.

Run a bounded CoFi proxy experiment that exercises masks, sparsity regularization, distillation, pruning summaries, and validation logs.

"Use Time-Series-Library (TSLib) to configure, run, debug, and

"Evaluate TensorRT SSD and YOLO object detectors on COCO-style bbox