Summary of Fact Checking Beyond Training Set, by Payam Karisani et al.
Fact Checking Beyond Training Setby Payam Karisani, Heng JiFirst submitted to arxiv on: 27 Mar…
Summary of Non-linear Inference Time Intervention: Improving Llm Truthfulness, by Jakub Hoscilowicz et al.
Non-Linear Inference Time Intervention: Improving LLM Truthfulnessby Jakub Hoscilowicz, Adam Wiacek, Jan Chojnacki, Adam Cieslak,…
Summary of Inceptiontime Vs. Wavelet — a Comparison For Time Series Classification, by Daniel Klenkert et al.
InceptionTime vs. Wavelet – A comparison for time series classificationby Daniel Klenkert, Daniel Schaeffer, Julian StauchFirst…
Summary of Deep Fusion: Capturing Dependencies in Contrastive Learning Via Transformer Projection Heads, by Huanran Li et al.
Deep Fusion: Capturing Dependencies in Contrastive Learning via Transformer Projection Headsby Huanran Li, Daniel Pimentel-AlarcónFirst…
Summary of Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (clop), by Huanran Li et al.
Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (CLOP)by Huanran Li, Manh Nguyen, Daniel Pimentel-AlarcónFirst…
Summary of Conditional Wasserstein Distances with Applications in Bayesian Ot Flow Matching, by Jannis Chemseddine et al.
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matchingby Jannis Chemseddine, Paul Hagemann, Gabriele…
Summary of Enhancing Manufacturing Quality Prediction Models Through the Integration Of Explainability Methods, by Dennis Gross et al.
Enhancing Manufacturing Quality Prediction Models through the Integration of Explainability Methodsby Dennis Gross, Helge Spieker,…
Summary of Energy-guided Data Sampling For Traffic Prediction with Mini Training Datasets, by Zhaohui Yang et al.
Energy-Guided Data Sampling for Traffic Prediction with Mini Training Datasetsby Zhaohui Yang, Kshitij JerathFirst submitted…
Summary of Semi-supervised Learning For Deep Causal Generative Models, by Yasin Ibrahim et al.
Semi-Supervised Learning for Deep Causal Generative Modelsby Yasin Ibrahim, Hermione Warr, Konstantinos KamnitsasFirst submitted to…
Summary of Nonlinear Model Reduction For Operator Learning, by Hamidreza Eivazi et al.
Nonlinear model reduction for operator learningby Hamidreza Eivazi, Stefan Wittek, Andreas RauschFirst submitted to arxiv…