Djallel Bouneffouf

Beyond Backprop: Alternating Minimization with co-Activation Memory.

2018 · arXiv (Cornell University)

Despite significant recent advances in deep neural networks, training them remains a challenge due to the highly non-convex nature of the objective function. State-of-the-art methods rely on error backpropagation, which suffers from several well-known issues, …

Assessing AI Utility: The Random Guesser Test for Sequential Decision-Making Systems

2024 · arXiv (Cornell University)

We propose a general approach to quantitatively assessing the risk and vulnerability of artificial intelligence (AI) systems to biased decisions. The guiding principle of the proposed approach is that any AI algorithm must outperform a …