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cs.LG2026
Understanding Rate-Distortion Performance in Distributed Transformer Inference
Anderson de Andrade, Alon Harell, Ivan V. Bajić
Transformers achieve superior performance on many tasks, but impose heavy compute and memory requirements during inference. This inference can be made more efficient by partitionin…
cs.LG2026
Lossy Common Information in a Learnable Gray-Wyner Network
Anderson de Andrade, Alon Harell, Ivan V. Bajić
Many computer vision tasks share substantial overlapping information, yet conventional codecs tend to ignore this, leading to redundant and inefficient representations. The Gray-Wy…