Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modellingby Grigory Bartosh, Dmitry Vetrov,…
Probabilistic Numeric SMC Sampling for Bayesian Nonlinear System Identification in Continuous Timeby Joe D. Longbottom,…
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with…
Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extractionby Qinyuan Wu,…
Zadeh’s Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervalsby Yusuf Guven, Ata Koklu, Tufan…
Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervalsby Ata Koklu, Yusuf…
TextSquare: Scaling up Text-Centric Visual Instruction Tuningby Jingqun Tang, Chunhui Lin, Zhen Zhao, Shu Wei,…
Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddingsby Logan Hallee, Rohan Kapur, Arjun…
A Study of Acquisition Functions for Medical Imaging Deep Active Learningby Bonaventure F. P. DossouFirst…
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimizationby Nicola Bariletto, Nhat HoFirst submitted to arxiv on:…