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cs.LG2026
Cross-Block Conditioning in Deep Boltzmann Machines for Statistical Data Fusion
Junichiro Niimi
Statistical data fusion combines two panels that share a block of covariates but observe disjoint outcome blocks, and in its traditional form no row observes both outcomes at once.…
cs.LG2026
Revisiting Energy-based Tabular Anomaly Detection: Energy and Reconstruction are Complementary
Junichiro Niimi
Tabular anomaly detection is dominated by classical density-proxy methods (Isolation Forest, OCSVM, LOF), reconstruction-based detectors (Autoencoders, VAEs), and modern non-parame…
cs.LG2026
The Mouth is Not the Brain: Bridging Energy-Based World Models and Language Generation
Junichiro Niimi
Large Language Models (LLMs) generate fluent text, yet whether they truly understand the world or merely produce plausible texts about it remains contested. We propose an architect…