Paper-Conference | MLO Labhttps://mlo-lab.github.io/publication-type/paper-conference/Paper-ConferenceHugo Blox Builder (https://hugoblox.com)en-us© 2026 MLO LabThu, 01 Jan 2026 00:00:00 +0000https://mlo-lab.github.io/media/logo_hu_9ab0b13d2686246a.pngPaper-Conferencehttps://mlo-lab.github.io/publication-type/paper-conference/Fine-grained uncertainty decomposition in large language models: A spectral approachhttps://mlo-lab.github.io/publication/walha-2026-fine/Thu, 01 Jan 2026 00:00:00 +0000https://mlo-lab.github.io/publication/walha-2026-fine/LVLM-Aided Alignment of Task-Specific Vision Modelshttps://mlo-lab.github.io/publication/koebler-2026-lvlm/Thu, 01 Jan 2026 00:00:00 +0000https://mlo-lab.github.io/publication/koebler-2026-lvlm/Incremental Uncertainty-aware Performance Monitoring with Active Labeling Interventionhttps://mlo-lab.github.io/publication/pmlr-v-258-koebler-25-a/Sat, 01 Mar 2025 00:00:00 +0000https://mlo-lab.github.io/publication/pmlr-v-258-koebler-25-a/Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformershttps://mlo-lab.github.io/publication/kuhn-2025-efficient/Wed, 01 Jan 2025 00:00:00 +0000https://mlo-lab.github.io/publication/kuhn-2025-efficient/Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyondhttps://mlo-lab.github.io/publication/serra-2025-federated/Wed, 01 Jan 2025 00:00:00 +0000https://mlo-lab.github.io/publication/serra-2025-federated/A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Modelshttps://mlo-lab.github.io/publication/gruber-2024-bias/Mon, 01 Jan 2024 00:00:00 +0000https://mlo-lab.github.io/publication/gruber-2024-bias/Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errorshttps://mlo-lab.github.io/publication/popordanoska-2024-consistent/Mon, 01 Jan 2024 00:00:00 +0000https://mlo-lab.github.io/publication/popordanoska-2024-consistent/Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performancehttps://mlo-lab.github.io/publication/decker-2024-explanatory/Mon, 01 Jan 2024 00:00:00 +0000https://mlo-lab.github.io/publication/decker-2024-explanatory/MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Modelhttps://mlo-lab.github.io/publication/koebler-2024-morellm/Mon, 01 Jan 2024 00:00:00 +0000https://mlo-lab.github.io/publication/koebler-2024-morellm/Provably Better Explanations with Optimized Aggregation of Feature Attributionshttps://mlo-lab.github.io/publication/decker-2024-provably/Mon, 01 Jan 2024 00:00:00 +0000https://mlo-lab.github.io/publication/decker-2024-provably/Through the Eyes of the Expert: Aligning Human and Machine Attention for Industrial AIhttps://mlo-lab.github.io/publication/koebler-2024-through/Mon, 01 Jan 2024 00:00:00 +0000https://mlo-lab.github.io/publication/koebler-2024-through/Deep Learning Model for Video-Classification of Echocardiography Imageshttps://mlo-lab.github.io/publication/destito-2023-deep/Sun, 01 Jan 2023 00:00:00 +0000https://mlo-lab.github.io/publication/destito-2023-deep/Encoding domain knowledge in multi-view latent variable models: A bayesian approach with structured sparsityhttps://mlo-lab.github.io/publication/qoku-2023-encoding/Sun, 01 Jan 2023 00:00:00 +0000https://mlo-lab.github.io/publication/qoku-2023-encoding/Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditionshttps://mlo-lab.github.io/publication/hekler-2023-test/Sun, 01 Jan 2023 00:00:00 +0000https://mlo-lab.github.io/publication/hekler-2023-test/Uncertainty Estimates of Predictions via a General Bias-Variance Decompositionhttps://mlo-lab.github.io/publication/gruber-2023-uncertainty/Sun, 01 Jan 2023 00:00:00 +0000https://mlo-lab.github.io/publication/gruber-2023-uncertainty/Multi-output Gaussian Processes for uncertainty-aware recommender systemshttps://mlo-lab.github.io/publication/yang-2021-multi/Fri, 01 Jan 2021 00:00:00 +0000https://mlo-lab.github.io/publication/yang-2021-multi/Towards trustworthy predictions from deep neural networks with fast adversarial calibrationhttps://mlo-lab.github.io/publication/tomani-2021-towards/Fri, 01 Jan 2021 00:00:00 +0000https://mlo-lab.github.io/publication/tomani-2021-towards/Document informed neural autoregressive topic models with distributional priorhttps://mlo-lab.github.io/publication/gupta-document-2019/Tue, 01 Jan 2019 00:00:00 +0000https://mlo-lab.github.io/publication/gupta-document-2019/Optical trapping dynamics for cell identificationhttps://mlo-lab.github.io/publication/volpe-optical-2006/Sun, 01 Jan 2006 00:00:00 +0000https://mlo-lab.github.io/publication/volpe-optical-2006/