3 papers
cs.SD2026
Copying Versus Randomization in Lempel-Ziv Music Synthesis
Nadav Mishan, Ram Zamir
We utilize Lempel-Ziv universal compression for music note generation. We control the algorithm's tendency to over-copy or under-copy training data by manipulating the average sequ…
cs.IT2025
Exploration-Exploitation Tradeoff in Universal Lossy Compression
Nir Weinberger, Ram Zamir
Universal compression can learn the source and adapt to it either in a batch mode (forward adaptation), or in a sequential mode (backward adaptation). We recast the sequential mode…
cs.IT2024
Alternate Learning and Compression Approaching R(D)
Ram Zamir, Kenneth Rose
The inherent trade-off in on-line learning is between exploration and exploitation. A good balance between these two (conflicting) goals can achieve a better long-term performance.…