3 papers
cs.LG2026
Learning in the Null Space: Small Singular Values for Continual Learning
Cuong Anh Pham, Praneeth Vepakomma, Samuel Horváth
Alleviating catastrophic forgetting while enabling further learning is a primary challenge in continual learning (CL). Orthogonal-based training methods have gained attention for t…
cs.RO2025
SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided Distillation
Quang P. M. Pham, Khoi T. N. Nguyen, Nhi H. Doan +5
Efficient path planning in robotics, particularly within large-scale, complex environments, remains a significant hurdle. While Large Language Models (LLMs) offer strong reasoning…
math.OC2025
Polyak Stepsize: Estimating Optimal Functional Values Without Parameters or Prior Knowledge
Farshed Abdukhakimov, Cuong Anh Pham, Samuel Horváth +2
The Polyak stepsize for Gradient Descent is known for its fast convergence but requires prior knowledge of the optimal functional value, which is often unavailable in practice. In…