Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descentby Nathan Buskulic,…
An Improved Algorithm for Learning Drifting Discrete Distributionsby Alessio MazzettoFirst submitted to arxiv on: 8…
HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interactionby Zhengrui Guo, Jiabo…
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecastingby Muyao Wang, Wenchao…
Poly-View Contrastive Learningby Amitis Shidani, Devon Hjelm, Jason Ramapuram, Russ Webb, Eeshan Gunesh Dhekane, Dan…
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLMby Hao Kang,…
Computational-Statistical Gaps in Gaussian Single-Index Modelsby Alex Damian, Loucas Pillaud-Vivien, Jason D. Lee, Joan BrunaFirst…
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Setsby Lorenzo Brigato,…
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shiftsby Ha Manh Bui,…
A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Databy Yifan Wu,…