Stochastic Differential Equations

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Enhancing Federated Quadruplet Learning: Stochastic Client Selection and Embedding Stability Analysis
May 8, 2026Ozgu Goksu, Nicolas PugeaultFederated Learning Distributional Learning
Stochastic Transition-Map Distillation for Fast Probabilistic Inference
May 8, 2026George Rapakoulias, Peter Garud, Lingjiong Zhu +1Stochastic Differential Equations Image Generation
Model-Driven Policy Optimization in Differentiable Simulators via Stochastic Exploration
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Conservative Flows: A New Paradigm of Generative Models
May 7, 2026Eshed Gal, Md Shahriar Rahim Siddiqui, Moshe Eliasof +1Generative Flow Networks Generative Models
A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models
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Sequential Design of Genetic Circuits Under Uncertainty With Reinforcement Learning
May 7, 2026Michal Kobiela, Diego A. Oyarzún, Michael U. GutmannBayesian Experimental Design Stochastic
Variational Smoothing and Inference for SDEs from Sparse Data with Dynamic Neural Flows
May 7, 2026Yu Wang, Arnab GangulyStochastic Differential Equations Variational Inference
Stochastic Schrödinger Diffusion Models for Pure-State Ensemble Generation
May 5, 2026Jian Xu, Wei Chen, Shigui Li +5Quantum Machine Learning Score-Based Diffusion Model
Random test functions, $H^{-1}$ norm equivalence, and stochastic variational physics-informed neural networks
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Stochastic Sparse Attention for Memory-Bound Inference
May 3, 2026Kyle Lee, Corentin Delacour, Kevin Callahan-Coray +5Dynamic Sparse Attention LLM Inference Efficiency
Robust Linear Dueling Bandits with Post-serving Context under Unknown Delays and Adversarial Corruptions
May 3, 2026Youngmin OhBandits Delay
Analytic Bridge Diffusions for Controlled Path Generation
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Unifying Deep Stochastic Processes for Image Enhancement
May 2, 2026Wojciech Kozłowski, Radosław Kuczbański, Kamil Adamczewski +2Image Enhancement Stochastic Differential Equations
Unlearning Offline Stochastic Multi-Armed Bandits
May 1, 2026Zichun Ye, Runqi Wang, Xuchuang Wang +3Unlearning Aims Multi-Armed Bandits
Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots
May 1, 2026Junda Ying, Yuxuan Wang, Bowen Yang +2Schrödinger Bridges Stochastic Dynamics
ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space
Apr 30, 2026Gabe Guo, Thanawat Sornwanee, Lutong Hao +3Autoregressive Diffusion Stochastic Systems
Stochastic Scaling Limits and Synchronization by Noise in Deep Transformer Models
Apr 29, 2026Andrea Agazzi, Giuseppe Bruno, Eloy Mosig García +2Transformer Architectures Stochastic Differential Equations
Learning biophysical models of gene regulation with probability flow matching
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Generalization Bounds of Spiking Neural Networks via Rademacher Complexity
Apr 26, 2026Shao-Qun Zhang, Zhi-Hua ZhouSpiking Neural Networks Neural Network
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Apr 25, 2026Mark Chua, Samuel AjilaSoftware Engineering Stochastic
A Green-Integral-Constrained Neural Solver with Stochastic Physics-Informed Regularization
Apr 23, 2026Mohammad Mahdi Abedi, David Pardo, Tariq AlkhalifahConventional Physics-Informed Neural Networks Neural Solvers
SGD at the Edge of Stability: The Stochastic Sharpness Gap
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Apr 22, 2026Xueyan Li, Johannes Zenn, Ekaterina Fadeeva +3Efficient Inference Reasoning Traces
Stochastic Barrier Certificates in the Presence of Dynamic Obstacles
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Structure-Aware Variational Learning of a Class of Generalized Diffusions
Apr 22, 2026Yubin Lu, Xiaofan Li, Chun Liu +2Stochastic Differential Equations Variational
Achieving the Kesten-Stigum bound in the non-uniform hypergraph stochastic block model
Apr 21, 2026Manuel Fernandez, Ludovic Stephan, Yizhe ZhuHypergraphs Image Clustering
On the Reliability of Computer Use Agents
Apr 20, 2026Gonzalo Gonzalez-Pumariega, Saaket Agashe, Jiachen Yang +2Computer-Use Agents Unreliable Reasoning
Extraction of informative statistical features in the problem of forecasting time series generated by It{ô}-type processes
Apr 18, 2026Victor Korolev, Mikhail Ivanov, Tatiana Kukanova +4Time Series Stochastic Differential Equations
Geometric regularization of autoencoders via observed stochastic dynamics
Apr 17, 2026Sean Hill, Felix X. -F. YeStochastic Dynamics Latent Cluster Geometry
Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting
Apr 17, 2026Weijiang Xiong, Robert Fonod, Nikolas GeroliminisAccurate Traffic Forecasting Traffic
Stochasticity in Tokenisation Improves Robustness
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Apr 16, 2026Dingzhi Yu, Rui Pan, Yuxing Liu +1Stochastic Gradient Descent Optimizer Design
Best of both worlds: Stochastic & adversarial best-arm identification
Apr 16, 2026Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon +2Bandits Stochastic
Adjoint Matching through the Lens of the Stochastic Maximum Principle in Optimal Control
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Goal-oriented learning of stochastic differential equations using error bounds on path-space observables
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AR-CoPO: Align Autoregressive Video Generation with Contrastive Policy Optimization
Mar 18, 2026Dailan He, Guanlin Feng, Xingtong Ge +5Autoregressive Video Generation Automated Synthesis Techniques
Unbiased and Biased Variance-Reduced Forward-Reflected-Backward Splitting Methods for Stochastic Composite Inclusions
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Training-Free Generation of Protein Sequences from Small Family Alignments via Stochastic Attention
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Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems
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Autocorrelation effects in a stochastic-process model for solving two-armed bandit problems
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Feb 23, 2026Florentin Coeurdoux, Etienne Lempereur, Nathanaël Cuvelle-Magar +2Stochastic Differential Equations Generative Models
Adaptive Batch Sizes Using Non-Euclidean Gradient Noise Scales for Stochastic Sign and Spectral Descent
Feb 3, 2026Hiroki Naganuma, Shagun Gupta, Youssef Briki +4Batch Size Stochastic
Learning Stochastic Bridges for Video Object Removal via Video-to-Video Translation
Jan 17, 2026Zijie Lou, Xiangwei Feng, Jiaxin Wang +7Video Object Removal Removal
Fast Score-Based Sampling via Log-Concave Reductions
Dec 30, 2025M. J. WainwrightNon-Log-Concave Optimal Sample Complexity
Adaptive Probability Flow Residual Minimization for High-Dimensional Fokker-Planck Equations
Dec 22, 2025Xiaolong Wu, Qifeng LiaoFokker--Planck Equation Stochastic Differential Equations
Global universal approximation with Brownian signatures
Dec 18, 2025Mihriban Ceylan, David J. PrömelApproximation Stochastic Differential Equations
Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes
Dec 17, 2025Hanqing Jin, Renyuan Xu, Yanzhao YangStochastic Optimal Control Stochastic Differential Equations
Formalized Hopfield Networks and Boltzmann Machines
Dec 8, 2025Matteo Cipollina, Michail Karatarakis, Freek WiedijkHopfield Networks Stochastic Systems
Symmetric Linear Dynamical Systems are Learnable from Few Observations
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Simulation-free Structure Learning for Stochastic Population Dynamics
Oct 18, 2025Noah El Rimawi-Fine, Adam Stecklov, Lucas Nelson +4Stochastic Dynamics Biological
Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics
Oct 14, 2025Joanna Marks, Tim Y. J. Wang, O. Deniz AkyildizLangevin Dynamics Maximum Likelihood
Deep Neural Networks Inspired by Differential Equations
Oct 9, 2025Yongshuai Liu, Lianfang Wang, Kuilin Qin +6Neural Ordinary Differential Equations Neural Network
Data-to-Energy Stochastic Dynamics
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Beyond Slater's Condition in Online CMDPs with Stochastic and Adversarial Constraints
Sep 24, 2025Francesco Emanuele Stradi, Eleonora Fidelia Chiefari, Matteo Castiglioni +2Markov Decision Processes O(T^Β)$ Simultaneous Regret
Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation
Sep 4, 2025Peter RacioppoState Estimation Stochastic Dynamics
Neural Stochastic Differential Equations on Compact State Spaces: Theory, Methods, and Application to Suicide Risk Modeling
Aug 23, 2025Malinda Lu, Yue-Jane Liu, Matthew K. Nock +1Stochastic Differential Equations Suicide Risk
Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models
Jun 25, 2025Xinghao Dong, Huchen Yang, Jin-Long WuMultiscale Dynamics Nonlinear Dynamics
The Effect of Stochasticity in Score-Based Diffusion Sampling: a KL Divergence Analysis
Jun 13, 2025Bernardo P. Schaeffer, Ricardo M. S. Rosa, Glauco ValleScore-Based Diffusion Model Stochastic Differential Equations
A Jump-Diffusion Framework for Irregular Time Series Generation
May 29, 2025O. Pfohl, J. Chemseddine, P. Hagemann +3Synthetic Time Series Stochastic Systems
A Robust Model-Based Approach for Continuous-Time Policy Evaluation with Unknown Lévy Process Dynamics
Apr 2, 2025Qihao Ye, Xiaochuan Tian, Yuhua ZhuStochastic Dynamics Long-Tailed Distribution

May 8, 2026 · cs.LGJ/K move · Enter open · S save

Enhancing Federated Quadruplet Learning: Stochastic Client Selection and Embedding Stability Analysis

Ozgu Goksu, Nicolas Pugeault

School of Computing Science University of Glasgow

Federated Learning (FL) enables decentralised model training across distributed clients without requiring data centralisation. However, the generalisation performance of the global model is usually degraded by data heterogeneity across clients, particularly under limited data availability and class imbalance. To address this challenge, we propose FedQuad, a novel method that explicitly enforces minimising intra-class representations while enabling inter-class splits across clients. By jointly minimising distances between positive pairs and maximising distances between negative pairs, the proposed approach mitigates representation misalignment introduced during model aggregation. We evaluate our method on CIFAR-10, CIFAR-100, and Tiny-ImageNet under diverse non-IID settings and varying numbers of clients, demonstrating consistent improvements over existing baselines. Additionally, we provide a comprehensive analysis of metric learning-based approaches in both centralised and federated environments, highlighting their effectiveness in alleviating representation collapse under heterogeneous data distributions.

Federated Learning Distributional Learning Fairness-Aware Learning Imagenet Stochastic

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