ESE Ph.D. Thesis Defense: “Neural Compression: Estimating and Achieving the Fundamental Limits”
Amy Gutmann Hall, Room 515 3317 Chestnut Street, PhiladelphiaNeural compression, which pertains to compression schemes that are learned from data using neural networks, has emerged as a powerful approach for compressing real-world data. Neural compressors often outperform classical […]