Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systemsby Dan MacKinlay, Russell Tsuchida, Dan…
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Modelsby Haotian Sun, Yuchen Zhuang, Wei Wei, Chao…
Lumos : Empowering Multimodal LLMs with Scene Text Recognitionby Ashish Shenoy, Yichao Lu, Srihari Jayakumar,…
Diffeomorphic Measure Matching with Kernels for Generative Modelingby Biraj Pandey, Bamdad Hosseini, Pau Batlle, Houman…
Task-conditioned adaptation of visual features in multi-task policy learningby Pierre Marza, Laetitia Matignon, Olivier Simonin,…
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Modelby Mikail Khona,…
Zero-shot Imputation with Foundation Inference Models for Dynamical Systemsby Patrick Seifner, Kostadin Cvejoski, Antonia Körner,…
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimandby Md Musfiqur Rahman,…
PASOA- PArticle baSed Bayesian Optimal Adaptive designby Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence ForbesFirst…
Outlier-Aware Training for Low-Bit Quantization of Structural Re-Parameterized Networksby Muqun Niu, Yuan Ren, Boyu Li,…