information geometry

Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models EACL 2026 GeoRK2: Geometry-Guided Runge-Kutta Integration for Diffusion Transformer Acceleration CVPR 2026 Information Theoretic Bayesian Optimization over the Probability Simplex UAI 2026 Improving Out-of-Distribution Detection via Dynamic Covariance Calibration ICML 2025 Multiobjective distribution matching ICML 2025 Optimal Submanifold Structure in Log-linear Models UAI 2025 An invariant information geometric method for high-dimensional online optimization L4DC 2024 Categorical Flow Matching on Statistical Manifolds NeurIPS 2024 Learning Discretized Neural Networks under Ricci Flow JMLR 2024 Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning ICLR 2024 Adversarial Learning of Distributional Reinforcement Learning ICML 2023 A Picture of the Space of Typical Learnable Tasks ICML 2023 A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy ICLR 2023 Information Geometry of the Retinal Representation Manifold NeurIPS 2023 A Reparametrization-Invariant Sharpness Measure Based on Information Geometry NeurIPS 2022 A theory of weight distribution-constrained learning NeurIPS 2022 Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract) AAAI 2022 Fisher SAM: Information Geometry and Sharpness Aware Minimisation ICML 2022 Igeood: An Information Geometry Approach to Out-of-Distribution Detection ICLR 2022 Pulling back information geometry AISTATS 2022 An Information-Geometric Distance on the Space of Tasks ICML 2021 Hierarchical probabilistic model for blind source separation via Legendre transformation UAI 2021 All your loss are belong to Bayes NeurIPS 2020 Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks ACL 2020 Information Geometry of Orthogonal Initializations and Training ICLR 2020