Papers
Compressibility Barriers to Neighborhood-Preserving Data Visualization
Szymon Snoeck, Noah Bergam, Nakul Verma
Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective
Vishwak Srinivasan, Qijia Jiang
On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning
Haoyuan Sun, Ali Jadbabaie, Navid Azizan
Universal Dynamic Regret and Constraint Violation Bounds for Constrained Online Convex Optimization
Subhamon Supantha, Abhishek Sinha
Ranking Items from Discrete Ratings: The Cost of Unknown User Thresholds
Oscar Villemaud, Suryanarayana Sankagiri, Matthias Grossglauser
Multi-distribution Learning: From Worst-Case Optimality to Lexicographic Min-Max Optimality
Guanghui Wang, Umar Syed, Robert E. Schapire et al.
Last-iterate Convergence for Symmetric, General-sum, 2 × 2 Games Under The Exponential Weights Dynamic
Guanghui Wang, Krishna Acharya, Lokranjan Lakshmikanthan et al.
Bridging Lifelong and Multi-Task Representation Learning: An Algorithm and a Complexity Measure
Zhi Wang, Chicheng Zhang, Ramya Korlakai Vinayak
Graph Inference with Effective Resistance Queries
Evelyn Warton, Huck Bennett, Mitchell Black et al.
PAC-Bayesian Analysis of the Surrogate Relation between Joint Embedding and Supervised Downstream Losses
Theresa Wasserer, Maximilian Fleissner, Debarghya Ghoshdastidar
Improved Regret in Stochastic Decision-Theoretic Online Learning under Differential Privacy
Ruihan Wu, Yu-Xiang Wang
Smoothed Online Optimization for Target Tracking: Robust and Learning-Augmented Algorithms
Ali Zeynali, Mahsa Sahebdel, Qingsong Liu et al.
Harmonizing MR Images Across 100+ Scanners: Multi-site Validation with Traveling Subjects and Real-world Protocols
Savannah P. Hays, Lianrui Zuo, Muhammad Faizyab Ali Chaudhary et al.
Detection versus Instance Segmentation for Multi-Species Malaria Diagnosis: A Head-to-Head Comparison and Multi-Dataset Validation of YOLOv12 Architectures with Small Object Optimization
Ahmed Tahiru Issah, Idaya Seidu, Carine Mukamakuza
Multi-site Benchmarking of Deep Learning Models for Intraparenchymal Hemorrhage Segmentation on NCCT
Kauê T N Duarte, Abhijot S Sidhu, Murilo C Barros et al.
Virtual-Eyes: Quantitative Validation of a Lung CT Quality-Control Pipeline for Foundation-Model Cancer Risk Prediction
Md. Enamul Hoq, Linda Larson-Prior, Fred Prior
Evaluating the Impact of Medical Image Reconstruction on Downstream AI Fairness and Performance
Matteo Wohlrapp, Niklas Bubeck, Daniel Rueckert et al.
Scalable Detection of Undiagnosed ILD in Population Screening: A Multi-Cohort Study using 3D Foundation Models
Niccolò McConnell, Mehran Azimbagirad, Daryl O. Cheng et al.
UMamba-ProSSL: Self-Supervised Large-Scale Pretraining with Multi-Task UMamba Advances Prostate Cancer Detection in Biparametric MRI
Syed Farhan Abbas, Michael S. Larsen, Arild Strømsvåg et al.
On the Stability and Robustness of Vision Transformers for Neurodegenerative Disease Classification
Eloi Navet, Rémi Giraud, Boris Mansencal et al.
Can Vision Language Models Track a Heartbeat? A Benchmark on Frame-Level Echocardiogram Understanding
Dingming Liu, Nabil Jabareen, Soeren Lukassen
A comprehensive benchmark of graph neural networks, graph kernels, and classical machine learning approaches on rs-fMRI brain graphs
Razan Mhanna, Sophie Achard, Alexander Petersen et al.