Papers
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
Florian Heinrichs, Mavin Heim, Corinna Weber
Function-Space Regularization in Neural Networks: A Probabilistic Perspective
Tim G. J. Rudner, Sanyam Kapoor, Shikai Qiu et al.
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
Aleksandr Shevchenko, Kevin Kögler, Hamed Hassani et al.
Fundamental Tradeoffs in Learning with Prior Information
Anirudha Majumdar
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
Songtao Liu, Zhengkai Tu, Minkai Xu et al.
Future-conditioned Unsupervised Pretraining for Decision Transformer
Zhihui Xie, Zichuan Lin, Deheng Ye et al.
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
Salah Ghamizi, Jingfeng Zhang, Maxime Cordy et al.
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
Renato Berlinghieri, Brian L. Trippe, David R. Burt et al.
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients
Marc Harkonen, Markus Lange-Hegermann, Bogdan Raita
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang et al.
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models
Hanjing Wang, Man-Kit Sit, Congjie He et al.
GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency
Min-Seop Kwak, Jiuhn Song, Seungryong Kim
General Covariance Data Augmentation for Neural PDE Solvers
Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov et al.
Generalization Analysis for Contrastive Representation Learning
Yunwen Lei, Tianbao Yang, Yiming Ying et al.
Generalization Bounds using Data-Dependent Fractal Dimensions
Benjamin Dupuis, George Deligiannidis, Umut Simsekli
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
Emmanuel Abbe, Samy Bengio, Aryo Lotfi et al.
Generalized Disparate Impact for Configurable Fairness Solutions in ML
Luca Giuliani, Eleonora Misino, Michele Lombardi
Generalized Implicit Follow-The-Regularized-Leader
Keyi Chen, Francesco Orabona
Generalized Polyak Step Size for First Order Optimization with Momentum
Xiaoyu Wang, Mikael Johansson, Tong Zhang
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
Marina Knittel, Max Springer, John P Dickerson et al.
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization
Ziyi Chen, Yi Zhou, Yingbin Liang et al.
Generalized Teacher Forcing for Learning Chaotic Dynamics
Florian Hess, Zahra Monfared, Manuel Brenner et al.
Generalizing Neural Wave Functions
Nicholas Gao, Stephan Günnemann
General Sequential Episodic Memory Model
Arjun Karuvally, Terrence Sejnowski, Hava T Siegelmann
Generated Graph Detection
Yihan Ma, Zhikun Zhang, Ning Yu et al.