probability distribution

MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI ICLR 2025 Moments of Causal Effects UAI 2025 M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models EMNLP 2025 Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models ICML 2025 Parametric ρ-Norm Scaling Calibration AAAI 2025 Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs ICLR 2025 Regret Bounds for Robust Online Decision Making COLT 2025 Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings COLING 2025 Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport ICLR 2025 SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups ICLR 2025 ToDi: Token-wise Distillation via Fine-Grained Divergence Control EMNLP 2025 Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation IJCAI 2025 A Multi-Perspective Analysis of Memorization in Large Language Models EMNLP 2024 Assessing Factual Reliability of Large Language Model Knowledge NAACL 2024 Automatic Outlier Rectification via Optimal Transport NeurIPS 2024 Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning ICML 2024 Certified Policy Verification and Synthesis for MDPs under Distributional Reach-Avoidance Properties IJCAI 2024 Conformalized Credal Set Predictors NeurIPS 2024 Contract Scheduling with Distributional and Multiple Advice IJCAI 2024 Credal Learning Theory NeurIPS 2024 EMO: EARTH MOVER DISTANCE OPTIMIZATION FOR AUTO-REGRESSIVE LANGUAGE MODELING ICLR 2024 Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration NeurIPS 2024 Fisher information dissipation for time-inhomogeneous stochastic differential equations JMLR 2024 Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions COLT 2024 GiLOT: Interpreting Generative Language Models via Optimal Transport ICML 2024