Papers
FraudGNAM: Inherently Interpretable Spectral GNN for Graph Fraud Detection
Suan Lee, Jinho Kim
Nonlocal Bayesian Modeling of Continuous Spatio-Temporal Dynamics
Jaeyeong Lee, Heeyoung Kim
High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption
Loong Kuan Lee, Ragavi Krishnamoorthy, Nico Piatkowski
Provably Correct k-Means Clustering of Persistence Diagrams
Hajin Lee, Kwangho Kim
Efficient Confidence Set Enumeration for Multi-label Conformal Classification
Arthur Ledaguenel, Florent Capelli, Jean-Marie Lagniez
Task-Free Continual Learning via Order-Invariant Linearized Adaptation and Density-Guided Adapter Routing
Hang Thi-Thuy Le, Nam-Quan Nguyen, Lam-Huy Nguyen et al.
Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection
Rodrigo F L Lassance, Jasper De Bock
KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching
Siddhartha Laghuvarapu, Rohan Deb, Jimeng Sun
Controlling Path Dependence in Gradient Ascent Unlearning through Forget-Set Ordering
Varun Sampath Kumar, Esmaeil S. Nadimi, Vinay Chakravarthi Gogineni
Decomposing Ensemble Spread in Lorenz ’96 with Learned Stochastic Parameterizations
Birgit Kühbacher, Daan Crommelin, Niki Kilbertus
Who to Trust? Aggregating Client Predictions in Federated Distillation.
Viktor Kovalchuk, Denis Son, Arman Bolatov et al.
Controlling Uncertainty and Hallucination Risk in Multi-Agent Fact Verification
Adam Kostka, Jaroslaw A. Chudziak
Maximally Robust Satisficing Bayesian Optimization
Samuli Kinnunen, Petrus Mikkola, Antti Niskanen et al.
Same Benchmark, Same Subspace: Task-Selective Convergence in LLM Representations
JaeSeong Kim, Suan Lee
Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning
Taehoon Kim, Henry Gouk, Minyoung Kim et al.
On Causal Representation Learning with Internal Auxiliaries
Kwonho Kim, Heejeong Nam, Inwoo Hwang et al.
Residual Koopman Spectral Profiling for Predicting and Preventing Transformer Training Instability
Bum Jun Kim, Shohei Taniguchi, Makoto Kawano et al.
A Model-Free Universal AI
Yegon Kim, Juho Lee
Beyond Bounds: Quantifying the Probability of Counterfactual Fairness
Taehan Kim, Minyoung Cho, Sanghack Lee
Don’t Test What You Can Deduce: Causal Discovery with Logical Inference
Jonghwan Kim, Sanghack Lee
Adaptive Cumulative Mass Calibration with Conformal Prediction
Daniil Kazantsev, Eric Moulines, Maxim Panov et al.
Joint MDPs and Reinforcement Learning in Coupled-Dynamics Environments
Ege Can Kaya, Mahsa Ghasemi, Abolfazl Hashemi