Papers
Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence
Sascha Xu, Nils Philipp Walter, Janis Kalofolias et al.
Learning from Integral Losses in Physics Informed Neural Networks
Ehsan Saleh, Saba Ghaffari, Tim Bretl et al.
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
Thalles Silva, Helio Pedrini, Adı́n Ramı́rez Rivera
Learning from Streaming Data when Users Choose
Jinyan Su, Sarah Dean
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
Jordan Dotzel, Yuzong Chen, Bahaa Kotb et al.
Learning Graph Representation via Graph Entropy Maximization
Ziheng Sun, Xudong Wang, Chris Ding et al.
Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding
Chuanhao Sun, Zhihang Yuan, Kai Xu et al.
Learning High-Order Relationships of Brain Regions
Weikang Qiu, Huangrui Chu, Selena Wang et al.
Learning in Deep Factor Graphs with Gaussian Belief Propagation
Seth Nabarro, Mark Van Der Wilk, Andrew Davison
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method
Qinghua Tao, Francesco Tonin, Alex Lambert et al.
Learning Iterative Reasoning through Energy Diffusion
Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum
Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition
Tong Wei, Zhen Mao, Zi-Hao Zhou et al.
Learning Latent Dynamic Robust Representations for World Models
Ruixiang Sun, Hongyu Zang, Xin Li et al.
Learning Latent Space Hierarchical EBM Diffusion Models
Jiali Cui, Tian Han
Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders
Xue Yu, Muchen Li, Yan Leng et al.
Learning Linear Block Error Correction Codes
Yoni Choukroun, Lior Wolf
Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
Yuyang Zhang, Shahriar Talebi, Na Li
Learning Mixtures of Gaussian Processes through Random Projection
Emmanuel Akeweje, Mimi Zhang
Learning Modality Knowledge Alignment for Cross-Modality Transfer
Wenxuan Ma, Shuang Li, Lincan Cai et al.
Learning Multiple Secrets in Mastermind
Milind Prabhu, David Woodruff
Learning Optimal Deterministic Policies with Stochastic Policy Gradients
Alessandro Montenegro, Marco Mussi, Alberto Maria Metelli et al.
Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
Asterios Tsiourvas, Wei Sun, Georgia Perakis et al.
Learning Pseudo-Contractive Denoisers for Inverse Problems
Deliang Wei, Peng Chen, Fang Li
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds
Daniel Dodd, Louis Sharrock, Christopher Nemeth
Learning Reward for Robot Skills Using Large Language Models via Self-Alignment
Yuwei Zeng, Yao Mu, Lin Shao