Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorialby StarFirst submitted to…
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropoutby Xinzhe Cao, Yadong Xu,…
Partial Identifiability and Misspecification in Inverse Reinforcement Learningby Joar Skalse, Alessandro AbateFirst submitted to arxiv…
Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimationby Boxin Zhao, Cong Ma, Mladen KolarFirst…
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networksby…
MC-NEST – Enhancing Mathematical Reasoning in Large Language Models with a Monte Carlo Nash Equilibrium…
Machine Learning-based sEMG Signal Classification for Hand Gesture Recognitionby Parshuram N. Aarotale, Ajita RattaniFirst submitted…
Improving Next Tokens via Second-to-Last Predictions with Generate and Refineby Johannes SchneiderFirst submitted to arxiv…
Best of Both Worlds: Advantages of Hybrid Graph Sequence Modelsby Ali Behrouz, Ali Parviz, Mahdi…
Quantile deep learning models for multi-step ahead time series predictionby Jimmy Cheung, Smruthi Rangarajan, Amelia…