1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature
Rohan Asthana, Joschua Conrad, Maurits Ortmanns +1
Zero-shot Neural Architecture Search (NAS) typically optimises the architecture search process by exploiting the network or gradient properties at initialisation through zero-cost…
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation
Julia Hornauer, Amir El-Ghoussani, Vasileios Belagiannis
Monocular depth estimation, similar to other image-based tasks, is prone to erroneous predictions due to ambiguities in the image, for example, caused by dynamic objects or shadows…
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…