Papers
Cancer Survival Prediction by Cyclic Generation and Multi-grained Alignment
Yongqi Bu, Qinggang Niu, Zhen Li et al.
MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation
Diana Bolanos, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman
Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise
Ethan Blaser, Shangtong Zhang
Condensed Data Expansion Using Model Inversion for Knowledge Distillation
Kuluhan Binici, Shivam Aggarwal, Cihan Acar et al.
MDBench: Benchmarking Data-Driven Methods for Model Discovery
Amirmohammad Ziaei Bideh, Aleksandra Georgievska, Jonathan Gryak
DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients
Yuexin Bian, Jie Feng, Yuanyuan Shi
FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA
Jieming Bian, Lei Wang, Letian Zhang et al.
Deep Clustering Based on Sparse Kolmogorov-Arnold Network and Spectral Constraint
Zixuan Bi, Yang Zhao, Ganchao Liu
Shaping Without Tearing: Controllable Diffeomorphic Deformations for Topology-Preserving 3D Point Cloud Augmentation
Jian Bi, Qianliang Wu, Jianjun Qian et al.
Differentially Private Linear Programming: Reduced Sub-Optimality and Guaranteed Constraint Satisfaction
Alexander Benvenuti, Brendan Bialy, Miriam Dennis et al.
Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden
Ainhize Barrainkua, Giovanni De Toni, Jose A. Lozano et al.
Collaborative Dual Representations for Semi-Supervised Partial Label Learning
Wei-Xuan Bao, Yong Rui, Min-Ling Zhang
Multi-Level Domain Adaptation and Contrastive Domain Isolation with Bilinear Fusion for Patient Drug Response Prediction
Yuting Bai, Hanwen Lv, Wanwan Shi et al.
Medical Vision–Language Pretraining with LLM-Guided Temporal Supervision
Liang Bai, Zhi Wang, Huimin Yan et al.
Mechanistic Dissection of Cross-Attention Subspaces in Text-to-Image Diffusion Models
Jun-Hyun Bae, Wonyong Jo, Jaehyup Lee et al.
Convergence of Fast Policy Iteration in Markov Games and Robust MDPs
Keith Badger, Jefferson Huang, Marek Petrik
Spectral Basis Learning for Expressive Graph Neural Networks in Link Prediction
Niloofar Azizi, Nils M. Kriege, Nicholas J. A. Harvey et al.
SOSControl: Enhancing Human Motion Generation Through Saliency-Aware Symbolic Orientation and Timing Control
Ho Yin Au, Junkun Jiang, Jie Chen
FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition
Zhongde An, Jinhong You, Jiyanglin Li et al.
Removing Box-Free Watermarks for Image-to-Image Models via Query-Based Reverse Engineering
Haonan An, Guang Hua, Hangcheng Cao et al.
Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets
Nabil Alami, Jad Zakharia, Souhaib Ben Taieb
InfoQ: Mixed-Precision Quantization via Global Information Flow
Mehmet Emre Akbulut, Hazem Hesham Yousef Shalby, Fabrizio Pittorino et al.
PAGE: A Unified Approach for Federated Graph Unlearning
Yuming Ai, Xunkai Li, Jiaqi Chao et al.
PharmaQA: Prompt-Based Molecular Representation Learning via Pharmacophore-Oriented Question Answering
Chengwei Ai, Qiaozhen Meng, Mengwei Sun et al.
Expressive Power of Graph Transformers via Logic
Veeti Ahvonen, Maurice Funk, Damian Heiman et al.