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cs.LG2025
Auditing Algorithmic Bias in Transformer-Based Trading
Armin Gerami, Ramani Duraiswami
Transformer models have become increasingly popular in financial applications, yet their potential risk making and biases remain under-explored. The purpose of this work is to audi…
cs.LG2025
Transformer Based Linear Attention with Optimized GPU Kernel Implementation
Armin Gerami, Ramani Duraiswami
The original softmax-based attention mechanism (regular attention) in the extremely successful Transformer architecture computes attention between tokens, each embedded in a $D…