6 papers
Rescuing Points Trapped Inside Incorrect Decision Regions: A target for Evaluating and Improving Forward-Forward Learning
Alireza Rahmansetayesh, Amirhossein Yousefiramandi, Maxwell Spiridonov +3
Forward-Forward learning replaces end-to-end backpropagation with local, layer-wise training objectives. Its variants are evaluated primarily by classification accuracy, often meas…
Layer-wise Input Recoverability in Deep Neural Networks
Maxwell Spiridonov, Alireza Rahmansetayesh, Pierre Baldi
The inner workings of deep neural networks are still not well understood. The information bottleneck framework, which characterizes deep networks by the mutual information between…
A Theory of Synaptic Neural Balance: From Local to Global Order
Pierre Baldi, Antonios Alexos, Ian Domingo +1
We develop a general theory of synaptic neural balance and how it can emerge or be enforced in neural networks. For a given regularizer, a neuron is said to be in balance if the to…
Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems
Antonios Alexos, Yu-Dai Tsai, Ian Domingo +2
Creating controlled methods to simulate neurodegeneration in artificial intelligence (AI) is crucial for applications that emulate brain function decline and cognitive disorders. W…
AttentionStitch: How Attention Solves the Speech Editing Problem
Antonios Alexos, Pierre Baldi
The generation of natural and high-quality speech from text is a challenging problem in the field of natural language processing. In addition to speech generation, speech editing i…
Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data
Antonios Alexos, Junze Liu, Akash Tiwari +5
In Inertial Confinement Fusion (ICF) process, roughly a 2mm spherical shell made of high density carbon is used as target for laser beams, which compress and heat it to energy leve…