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cs.LG2026
On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning
Zihui Zhao, Yuanbo Tang, Yang Li
Dictionary learning has long been studied from both optimization and probabilistic perspectives. While formulations with element-wise sparsity regularization (e.g., L1-based sparse…
cs.LG2026
Looped World Models
Hongyuan Adam Lu, Z. L. Victor Wei, Qun Zhang +28
Current world models face a fundamental tension: faithful long-horizon simulation demands deep computation, but deeper models are expensive to deploy and prone to compounding error…
cs.LG2025
A Unified Probabilistic Framework for Dictionary Learning with Parsimonious Activation
Zihui Zhao, Yuanbo Tang, Jieyu Ren +2
Dictionary learning is traditionally formulated as an -regularized signal reconstruction problem. While recent developments have incorporated discriminative, hierarchical, or…