479 citations · 1.5k across the 53 of their papers we have counts for
4 papers · 1 filter
Diagnosing Neural Convergence with Topological Alignment Spectra
Tiago F. Tavares, Fabio Ayres, Paris Smaragdis
Representational similarity in neural networks is inherently scale-dependent, yet widely used metrics such as Centered Kernel Alignment (CKA) and Procrustes analysis provide only g…
On Class Separability Pitfalls In Audio-Text Contrastive Zero-Shot Learning
Tiago Tavares, Fabio Ayres, Zhepei Wang +1
Recent advances in audio-text cross-modal contrastive learning have shown its potential towards zero-shot learning. One possibility for this is by projecting item embeddings from p…
Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations
Krishna Subramani, Paris Smaragdis, Takuya Higuchi +1
Non-negative Matrix Factorization (NMF) is a powerful technique for analyzing regularly-sampled data, i.e., data that can be stored in a matrix. For audio, this has led to numerous…
Scaling Up Adaptive Filter Optimizers
Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis
We introduce a new online adaptive filtering method called supervised multi-step adaptive filters (SMS-AF). Our method uses neural networks to control or optimize linear multi-dela…