Papers
From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
Shengju Yu, Zhibin Dong, Siwei Wang et al.
From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers
Yoon Hyeok Lee, Jaemin Park, Taejin Paik et al.
From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs
Ang Cao, Sergio Arnaud, Oleksandr Maksymets et al.
From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
Fuying Wang, Jiacheng Xu, Lequan Yu
From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control
Peiyan Hu, Xiaowei Qian, Wenhao Deng et al.
From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control
Chi Zhang, Ren Lianhai, Jingpu Cheng et al.
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training
Philip Zmushko, Aleksandr Beznosikov, Martin Takáč et al.
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
Srijith Nair, Michael Lin, Peizhong Ju et al.
FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting
Yue Jiang, Yile Chen, Xiucheng Li et al.
Fully Dynamic Embedding into $\ell_p$ Spaces
Kiarash Banihashem, Xiang Chen, Mohammadtaghi Hajiaghayi et al.
Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
Gramoz Goranci, Peter Kiss, Neel Patel et al.
Fully Heteroscedastic Count Regression with Deep Double Poisson Networks
Spencer Young, Porter Jenkins, Longchao Da et al.
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
Virginia Aglietti, Ira Ktena, Jessica Schrouff et al.
Functional Alignment Can Mislead: Examining Model Stitching
Damian Smith, Harvey Mannering, Antonia Marcu
Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces
Tyler Ingebrand, Adam Thorpe, Ufuk Topcu
Function-Space Learning Rates
Edward Milsom, Ben Anson, Laurence Aitchison
Function-to-Style Guidance of LLMs for Code Translation
Longhui Zhang, Bin Wang, Jiahao Wang et al.
Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton
Chengmei Niu, Zhenyu Liao, Zenan Ling et al.
Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds
Emanuele Troiani, Hugo Cui, Yatin Dandi et al.
Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities
Yifang Chen, Xiaoyu Li, Yingyu Liang et al.
FuseUNet: A Multi-Scale Feature Fusion Method for U-like Networks
Quansong He, Xiangde Min, Kaishen Wang et al.
Fusing Reward and Dueling Feedback in Stochastic Bandits
Xuchuang Wang, Qirun Zeng, Jinhang Zuo et al.
G-Adaptivity: optimised graph-based mesh relocation for finite element methods
James Rowbottom, Georg Maierhofer, Teo Deveney et al.
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
Gabriel Tseng, Anthony Fuller, Marlena Reil et al.
Gamma Distribution PCA-Enhanced Feature Learning for Angle-Robust SAR Target Recognition
Chong Zhang, Peng Zhang, Mengke Li