Author

Ali Behrouz

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Preprint Aug 2026

Proteus: Incremental Memory Activation for Long-Context Sequence Modeling

This work instantiates a new paradigm of incremental memory activation, where the effective capacity of memory is progressively expanded as the context grows, and applies this paradigm to state-of-the-art models, observing consistent improvements on standard language modeling and reasoning, as well as on long-context retrieval and understanding.

Reza Bayat, Ali Behrouz, V. Mirrokni et al. · 0 citations

Preprint Jul 2026

Online Neural Space Time Memory for Dynamic Novel View Synthesis

This work proposes to decouple the frequencies of memory updates and Memory Caching, and introduces two critical mechanisms: an auxiliary Memory Loss that forces persistent internalization of the scene, and a Memory Caching strategy that regularizes active weights against catastrophic drift.

Baback Elmieh, Lynn Tsai, Zeman Li et al. · 0 citations