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20242026
most citedConformal time series decomposition with component-wise exchangeability

1 citations · 1 across the 3 of their papers we have counts for

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5 papers

cs.CV2026

Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference

Agata Żywot, Iason Skylitsis, Thijmen Nijdam +4

Text-to-image diffusion models like Stable Diffusion generate high-quality images from text, but lack a way to inject visual guidance (e.g. sketches, styles) at inference without r…

cs.CV2025

Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems

Antonios Tragoudaras, Chenyu Zhang, Daniil Cherniavskii +7

Recent advances in image and video generation raise hopes that these models possess world modeling capabilities-the ability to generate realistic, physically plausible videos. This…

cs.IR2025

Reproducing NevIR: Negation in Neural Information Retrieval

Coen van den Elsen, Francien Barkhof, Thijmen Nijdam +2

Negation is a fundamental aspect of human communication, yet it remains a challenge for Language Models (LMs) in Information Retrieval (IR). Despite the heavy reliance of modern ne…

cs.LG2024

Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations

Thijmen Nijdam, Juell Sprott, Taiki Papandreou-Lazos +1

In this study, we undertake a reproducibility analysis of 'Learning Fair Graph Representations Via Automated Data Augmentations' by Ling et al. (2022). We assess the validity of th…

stat.ML20241 cited

Conformal time series decomposition with component-wise exchangeability

Derck W. E. Prinzhorn, Thijmen Nijdam, Putri A. van der Linden +1

Conformal prediction offers a practical framework for distribution-free uncertainty quantification, providing finite-sample coverage guarantees under relatively mild assumptions on…