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20222026
most citedLarge-Batch, Iteration-Efficient Neural Bayesian Design Optimization

1 citations · 2 across the 13 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CV2025

TalkingPose: Efficient Face and Gesture Animation with Feedback-guided Diffusion Model

Alireza Javanmardi, Pragati Jaiswal, Tewodros Amberbir Habtegebrial +4

Recent advancements in diffusion models have significantly improved the realism and generalizability of character-driven animation, enabling the synthesis of high-quality motion fr…

cs.LG2025

Fine-Grained Uncertainty Decomposition in Large Language Models: A Spectral Approach

Nassim Walha, Sebastian G. Gruber, Thomas Decker +4

As Large Language Models (LLMs) are increasingly integrated in diverse applications, obtaining reliable measures of their predictive uncertainty has become critically important. A…

stat.ML2025

Optimal Conformal Prediction under Epistemic Uncertainty

Alireza Javanmardi, Soroush H. Zargarbashi, Santo M. A. R. Thies +3

Conformal prediction (CP) is a widely used frequentist framework to quantify uncertainty by constructing prediction sets with user-specified marginal coverage guarantees. In practi…

cs.CV2025

Masked Autoencoder Self Pre-Training for Defect Detection in Microelectronics

Nikolai Röhrich, Alwin Hoffmann, Richard Nordsieck +2

While transformers have surpassed convolutional neural networks (CNNs) in various computer vision tasks, microelectronics defect detection still largely relies on CNNs. We hypothes…

stat.ML2025★ 1 cited

Conformal Prediction in Hierarchical Classification with Constrained Representation Complexity

Thomas Mortier, Alireza Javanmardi, Yusuf Sale +2

Conformal prediction has emerged as a widely used framework for constructing valid prediction sets in classification and regression tasks. In this work, we extend the split conform…