The students from the EE274: Data Compression, Theory and Applications, will be presenting short 5-min lightning talks on their final projects for the course. The talks will range from implementations of various compression algorithms as well as new applications.

• RL for compression
• LZ77 optimized implementation
• Lossless Image compression (PNG, QOI...)
• Compressor as Estimator for Neural Science
• Bits back coding etc.
• MRI data compression
• Reproducing Learnt Image Compression in SCL
• Adaptive Huffman Decoding
• Tabular data compression using Chow-Liu trees
• Perceptual Image Metrics
• Alias Coding
• HW implementation of Huffman, tANS/rANS
• AAC (advanced audio codec)
• LZ78 optimized implementation
• Invesitgation of lossy compression as denoiser for audio
• Lossy compression for Quantum computing
• Lossy text compression
• CTW