DogSurf: Quadruped Robot Capable of GRU-based Surface Recognition for Blind Person Navigation
The article discusses the development of DogSurf, a quadruped robot that assists visually impaired individuals in navigating…
Critic-Actor for Average Reward MDPs with Function Approximation: A Finite-Time Analysis
This research presents the first critic-actor algorithm with function approximation and finite-time analysis, used in the long-run…
Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble
This paper investigates the use of boosting as a meta-learner in Hyperparameter Optimization (HPO) and stacking ensemble….
A Probabilistic Model to explain Self-Supervised Representation Learning
The article discusses the theoretical understanding of self-supervised learning (SSL) methods like SimCLR, CLIP, and VicREG. The…
Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization
The article discusses the importance of unlearning in machine learning models, particularly in the context of data…
Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models
The article presents Counterfactual Concept Bottleneck Models (CF-CBMs), a new class of models in deep learning. These…
SMLP: Symbolic Machine Learning Prover
The article presents Symbolic Machine Learning Prover (SMLP), a tool and library for system exploration based on…
Approximate Control for Continuous-Time POMDPs
The paper proposes a new decision-making framework for partially observable systems in continuous time with discrete state…
From Words to Molecules: A Survey of Large Language Models in Chemistry
This article delves into the use of Large Language Models (LLMs) in the field of chemistry. It…
Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting
The paper reviews the development and techniques of few-shot learning on graphs, a field that has seen…