Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks. - Stefan Horoi; Victor Geadah; Guy Wolf; Guillaume Lajoie (Canadian AI, 2020)

Internal representation dynamics and geometry in recurrent neural networks. - Stefan Horoi; Guillaume Lajoie; Guy Wolf (CoRR, 2020)

Advantages of biologically-inspired adaptive neural activation in RNNs during learning. - Victor Geadah; Giancarlo Kerg; Stefan Horoi; Guy Wolf; Guillaume Lajoie (CoRR, 2020)

Visualizing High-Dimensional Trajectories on the Loss-Landscape of ANNs. - Stefan Horoi; Jessie Huang; Guy Wolf; Smita Krishnaswamy (CoRR, 2021)

Exploring the Geometry and Topology of Neural Network Loss Landscapes. - Stefan Horoi; Jessie Huang; Bastian Rieck; Guillaume Lajoie; Guy Wolf; Smita Krishnaswamy (IDA, 2022)

Reliability of CKA as a Similarity Measure in Deep Learning. - MohammadReza Davari; Stefan Horoi; Amine Natik; Guillaume Lajoie; Guy Wolf; Eugene Belilovsky (ICLR, 2023)

Non-Uniform Parameter-Wise Model Merging. - Albert Manuel Orozco Camacho; Stefan Horoi; Guy Wolf; Eugene Belilovsky (IEEE Big Data, 2024)

Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis. - Stefan Horoi; Albert Manuel Orozco Camacho; Eugene Belilovsky; Guy Wolf (ICML, 2024)

Towards a General Recipe for Combinatorial Optimization With Multi-Filter GNNs. - Frederik Wenkel; Semih Cantürk; Stefan Horoi; Michael Perlmutter; Guy Wolf (LoG, 2024)

Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization. - Victor Geadah; Stefan Horoi; Giancarlo Kerg; Guy Wolf; Guillaume Lajoie (PLoS Comput. Biol., 2024)

Less is More: Undertraining Experts Improves Model Upcycling. - Stefan Horoi; Guy Wolf; Eugene Belilovsky; Gintare Karolina Dziugaite (CoRR, 2025)