Papers
AutoSchA: Automatic Hierarchical Music Representations via Multi-Relational Node Isolation
Stephen Ni-Hahn, Rico Zhu, Jerry Yin et al.
Disentangled Generation-Based Prototypical Alignment for Few-Shot Unsupervised Domain Adaptation in Graph-Level Anomaly Detection
Zhibin Ni, Chenghao Zhang, Hai Wan et al.
PKR-QA: A Benchmark for Procedural Knowledge Reasoning with Knowledge Module Learning
Thanh-Son Nguyen, Hong Yang, Tzeh Yuan Neoh et al.
Provably Data-Driven Projection Method for Quadratic Programming
Anh Tuan Nguyen, Viet Anh Nguyen
Hexaïssa: Standing on Giants’ Shoulders—Routing the Best Chess Engines with Mixture-of-Experts and Latent Reward Learning
Bach Ngo, Nguyen Hoang Khoi Do
Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions
Rashmeet Kaur Nayyar, Naman Shah, Siddharth Srivastava
GP-MoLFormer-Sim: Test Time Molecular Optimization Through Contextual Similarity Guidance
Jiří Navrátil, Jarret Ross, Payel Das et al.
Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems
Saptarshi Nath, Christos Peridis, Eseoghene Benjamin et al.
Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to Q-Learning
Ankur Naskar, Gugan Thoppe, Vijay Gupta
RankList – a Listwise Preference Learning Framework for Predicting Subjective Preferences
Abinay Reddy Naini, Fernando Diaz, Carlos Busso
From Decision Trees to Boolean Logic: A Fast and Unified SHAP Algorithm
Alexander Nadel, Ron Wettenstein
Unlocking Efficient Vehicle Dynamics Modeling via Analytic World Models
Asen Nachkov, Danda Pani Paudel, Jan-Nico Zaech et al.
CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation
Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng
Inference Offloading for Cost-Sensitive Binary Classification at the Edge
Vishnu Narayanan Moothedath, Umang Agarwal, Umeshraja N et al.
Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning
Hyung-Jun Moon, Sung-Bae Cho
Bant: Byzantine Antidote via Trial Function and Trust Scores
Gleb Molodtsov, Daniil Medyakov, Sergey Skorik et al.
Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling
Soheila Molaei, Bahareh Fatemi, Anshul Thakur et al.
Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes
Majid Mohammadi, Krikamol Muandet, Ilaria Tiddi et al.
Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series
Erfan Moeini, Christopher Vox, Marie Anastacio et al.
Explaining Temporal Graph Neural Network via Quantum-Inspired Evolutionary Algorithm
Masahiro Mitani, Yuya Sasaki
T4NMTD: Transition-Centric Reinforcement Learning for Non-Markovian Task Decomposition
Ruixuan Miao, Xu Lu, Cong Tian et al.
Learning Branching Policies for MILPs with Proximal Policy Optimization
Abdelouahed Ben Mhamed, Assia Kamal Idrissi, Amal Seghrouchni
Online Linear Regression with Paid Stochastic Features
Nadav Merlis, Kyoungseok Jang, Nicolò Cesa-Bianchi
Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning
Lingyuan Meng, Ke Liang, Hao Yu et al.
Semantic-Aware Feature Enhancement for Partial Label Learning
Haowei Mei, Chao Zhang, Wentao Fan et al.