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2 results for “energy landscape”
SPIN Processed News Frame: The Cushion
On the Abundance of Critical Points of the t-SNE Energy
A theoretical machine learning paper identifies infinite families of critical points in t-SNE’s energy landscape—explaining why the algorithm frequently produces topologically misleading or spurious clusterings—and introduces symmetry-based analytical tools to characterize them.
Spin 45% Claim Present in Source AI Risk Moderate
arXiv Machine Learning
Sep 7, 2026
SPIN Processed News Frame: The Hype
Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes
Researchers propose a model-agnostic, post-hoc sentence-level attribution method for proprietary LLMs using an Energy-Based Model surrogate to quantify prompt influence without repeated API calls.
Spin 65% Claim Present in Source AI Risk Moderate
arXiv Artificial Intelligence
Aug 5, 2026