1 citations · 1 across the 6 of their papers we have counts for
6 papers
Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones
Ayoub Ghriss, Sourav Chakraborty
Linear attention promises constant-time recurrent inference but degrades sharply on associative recall. We formulate attention recall as a spherical-packing problem and introduce K…
S: Structured Sparsity Specification
Ayoub Ghriss
We introduce the Structured Sparsity Specification (S), an algebraic framework for defining, composing, and implementing structured sparse patterns. S specifies sparsity th…
Beyond Spectral Clustering: Probabilistic Cuts for Differentiable Graph Partitioning
Ayoub Ghriss
Probabilistic relaxations of graph cuts offer a differentiable alternative to spectral clustering, enabling end-to-end and online learning without eigendecompositions, yet prior wo…
Deep Clustering via Probabilistic Ratio-Cut Optimization
Ayoub Ghriss, Claire Monteleoni
We propose a novel approach for optimizing the graph ratio-cut by modeling the binary assignments as random variables. We provide an upper bound on the expected ratio-cut, as well…
Reinforcement Learning with Options and State Representation
Ayoub Ghriss, Masashi Sugiyama, Alessandro Lazaric
The current thesis aims to explore the reinforcement learning field and build on existing methods to produce improved ones to tackle the problem of learning in high-dimensional and…
Sentiment-Aware Automatic Speech Recognition pre-training for enhanced Speech Emotion Recognition
Ayoub Ghriss, Bo Yang, Viktor Rozgic +2
We propose a novel multi-task pre-training method for Speech Emotion Recognition (SER). We pre-train SER model simultaneously on Automatic Speech Recognition (ASR) and sentiment cl…