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Model-agnostic Retrieval-Augmented Extended Forecasting for time series
Juan Pablo Villa Serna, Rohan Asthana, Vasileios Belagiannis
Time series forecasting with pretrained foundation models has demonstrated strong zero-shot capabilities. However, achieving optimal performance on time series with short or neglig…
Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-Probability
Rohan Asthana, Vasileios Belagiannis
Diffusion-based image generative models produce high-fidelity images through iterative denoising but remain vulnerable to memorization, where they unintentionally reproduce exact c…
Multi-conditioned Graph Diffusion for Neural Architecture Search
Rohan Asthana, Joschua Conrad, Youssef Dawoud +2
Neural architecture search automates the design of neural network architectures usually by exploring a large and thus complex architecture search space. To advance the architecture…