Stefan Horoi

According to our database, Stefan Horoi authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Leveraging Parameter Space Symmetries for Reasoning Skill Transfer in LLMs.

Stefan Horoi, Sangwoo Cho, Supriyo Chakraborty, Shixiong Zhang, Sambit Sahu, Guy Wolf, Genta Indra Winata

CoRR, November, 2025

Less is More: Undertraining Experts Improves Model Upcycling.

Stefan Horoi, Guy Wolf, Eugene Belilovsky, Gintare Karolina Dziugaite

CoRR, June, 2025

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

Towards a General Recipe for Combinatorial Optimization With Multi-Filter GNNs.

Frederik Wenkel, Semih Cantürk, Stefan Horoi, Michael Perlmutter, Guy Wolf

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis.

Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky, Guy Wolf

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Non-Uniform Parameter-Wise Model Merging.

Albert Manuel Orozco Camacho, Stefan Horoi, Guy Wolf, Eugene Belilovsky

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Reliability of CKA as a Similarity Measure in Deep Learning.

MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, Eugene Belilovsky

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Exploring the Geometry and Topology of Neural Network Loss Landscapes.

Stefan Horoi, Jessie Huang, Bastian Rieck, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

2021

Visualizing High-Dimensional Trajectories on the Loss-Landscape of ANNs.

Stefan Horoi, Jessie Huang, Guy Wolf, Smita Krishnaswamy

CoRR, 2021

2020

Advantages of biologically-inspired adaptive neural activation in RNNs during learning.

Victor Geadah, Giancarlo Kerg, Stefan Horoi, Guy Wolf, Guillaume Lajoie

CoRR, 2020

Internal representation dynamics and geometry in recurrent neural networks.

Stefan Horoi, Guillaume Lajoie, Guy Wolf

CoRR, 2020

Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks.

Stefan Horoi, Victor Geadah, Guy Wolf, Guillaume Lajoie

Proceedings of the Advances in Artificial Intelligence, 2020