Papers
Frequency-aware Generative Models for Multivariate Time Series Imputation
Xinyu Yang, Yu Sun, Xiaojie Yuan et al.
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations
Alexander Tyurin, Kaja Gruntkowska, Peter Richtárik
Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
Yongqi Wang, Wenxiang Guo, Rongjie Huang et al.
From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos
Matthew Wallingford, Anand Bhattad, Aditya Kusupati et al.
From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach
Timothée Devergne, Vladimir R. Kostic, Michele Parrinello et al.
From Causal to Concept-Based Representation Learning
Goutham Rajendran, Simon Buchholz, Bryon Aragam et al.
From Chaos to Clarity: 3DGS in the Dark
Zhihao Li, Yufei Wang, Alex Kot et al.
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
Huanxuan Liao, Shizhu He, Yao Xu et al.
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
Mohammad Pedramfar, Vaneet Aggarwal
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection
Xinlei Wang, Maike Feng, Jing Qiu et al.
From Similarity to Superiority: Channel Clustering for Time Series Forecasting
Jialin Chen, Jan Eric Lenssen, Aosong Feng et al.
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning
Pusen Dong, Tianchen Zhu, Yue Qiu et al.
From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS
Haoran Zhang, Junkai Deng, Xuhui Chen et al.
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
Zhuoshi Pan, Yuguang Yao, Gaowen Liu et al.
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
Kevin Christian Wibisono, Yixin Wang
Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models
Shenghao Fu, Junkai Yan, Qize Yang et al.
Frustratingly Easy Test-Time Adaptation of Vision-Language Models
Matteo Farina, Gianni Franchi, Giovanni Iacca et al.
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning
Tristan Cinquin, Marvin Pförtner, Vincent Fortuin et al.
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
Austin Coursey, Junyi Ji, Marcos Quinones-Grueiro et al.
FUGAL: Feature-fortified Unrestricted Graph Alignment
Aditya Bommakanti, Harshith Reddy Vonteri, Konstantinos Skitsas et al.
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
Jitao Zhao, Di Jin, Meng Ge et al.
Full-Atom Peptide Design with Geometric Latent Diffusion
Xiangzhe Kong, Yinjun Jia, Wenbing Huang et al.
Full-Distance Evasion of Pedestrian Detectors in the Physical World
Zhi Cheng, Zhanhao Hu, Yuqiu Liu et al.
Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products
Bethia Sun, Maurice Pagnucco, Yang Song