TCR-GPT: Integrating Autoregressive Model and Reinforcement Learning for T-Cell Receptor Repertoires Generationby Yicheng Lin, Dandan…
Learning to Embed Distributions via Maximum Kernel Entropyby Oleksii Kachaiev, Stefano RecanatesiFirst submitted to arxiv…
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learningby Yuanyang Zhu, Zhi…
Probabilistic Scoring Lists for Interpretable Machine Learningby Jonas Hanselle, Stefan Heid, Johannes Fürnkranz, Eyke HüllermeierFirst…
Transient anisotropic kernel for probabilistic learning on manifoldsby Christian Soize, Roger GhanemFirst submitted to arxiv…
Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokensby Anqi Zhang, Chaofeng WuFirst…
The Entrapment Problem in Random Walk Decentralized Learningby Zonghong Liu, Salim El Rouayheb, Matthew DwyerFirst…
Supervised Learning based Method for Condition Monitoring of Overhead Line Insulators using Leakage Current Measurementby…
Neural Surrogate HMC: Accelerated Hamiltonian Monte Carlo with a Neural Network Surrogate Likelihoodby Linnea M…
Importance Corrected Neural JKO Samplingby Johannes Hertrich, Robert GruhlkeFirst submitted to arxiv on: 29 Jul…