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cs.LG2026
AdaKerNet: Neural Kernel Decoding for Task-Adaptive Prediction with Multimodal Large Models
Konstantinos D. Polyzos, Eleni Oikonomou, Tara Javidi
Large foundation models have been introduced with the promise of efficient adaptation to downstream tasks. Yet, under limited supervision, MLLMs, an important class of large founda…
cs.LG2026
Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity
Heng Zhang, Haotian Xiang, Konstantinos D. Polyzos +2
Hyperparameter selection remains a key challenge in Bayesian optimization (BO) and Bayesian active learning (AL), as model misspecification can lead to suboptimal performance, whil…
cs.CV2026
A Single Image and Multimodality Is All You Need for Novel View Synthesis
Amirhosein Javadi, Chi-Shiang Gau, Konstantinos D. Polyzos +1
Diffusion-based approaches have recently demonstrated strong performance for single-image novel view synthesis by conditioning generative models on geometry inferred from monocular…