Nonlinearity

Momentum

8 papers in the last four weeks, up 60% on the four weeks before. 0.1% of all new papers.

Jul 6Week of Sep 21

Latest papers 104

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  1. Plug-and-Play Spiking Operators: Breaking the Nonlinearity Bottleneck in Spiking Transformers

    May 19, 2026Xinzhe Yuan, Xiang Peng, Bin Gu +1Spiking Neural NetworksTime-To-First-Spike

  2. Activation Functions, Statistics and Learning of Higher-Order Interactions in Restricted Boltzmann Machines

    May 18, 2026Giovanni di Sarra, Yasser RoudiActivation FunctionsNeurons

  3. Information Processing Capacity of Stationary Physical Systems: Theory, Data-efficient Estimation Methods, and Photonic Demonstration

    May 18, 2026Rahul Uma Ramachandran, Serge MassarPhotonic Transformer AcceleratorsSingle-Photon Avalanche Diode

  4. Distilling Linearized Behavior into Non-Linear Fine-Tuning for Effective Task Arithmetic

    May 18, 2026Thomas Sommariva, Francesca Morandi, Simone Calderara +1Model Fine-TuningContinual Fine-Tuning

  5. The Geometry of Projection Heads: Conditioning, Invariance, and Collapse

    May 16, 2026Faris ChaudhryProjection HeadsSelf-Supervised Learning

  6. Pretraining Objective Matters in Extreme Low-Data FGVC: A Backbone-Controlled Study

    May 15, 2026Alexander Hackett, Srikanth Thudumu, Ginny Fisher +1Frozen EncoderPretraining

  7. Non-linear Interventions on Large Language Models

    May 14, 2026Sangwoo KimLatent Feature InterventionsNonlinearity

  8. ArcGate: Adaptive Arctangent Gated Activation

    May 14, 2026Avik Bhattacharya, Siddhant Dnyanesh Gole, Subhasis Chaudhuri +2Activation FunctionsDeep Network

  9. Causal Learning with the Invariance Principle

    May 13, 2026Francesco Montagna, Francesco LocatelloCausal Discovery MethodsCausal Graph

  10. Kernel-based guarantees for nonlinear parametric models in Bayesian optimization

    May 13, 2026Rafael OliveiraBayesian OptimizationNonlinearity

  11. A nonlinear extension of parametric model embedding for dimensionality reduction in parametric shape design

    May 12, 2026Andrea Serani, Giorgio Palma, Matteo Diez1B ParametersDimensionality Reduction

  12. The First Drop of Ink: Nonlinear Impact of Misleading Information in Long-Context Reasoning

    May 11, 2026Muhan Gao, Zih-Ching Chen, Kuan-Hao HuangLong-Context ReasoningDistractor

  13. On the global convergence of gradient descent for wide shallow models with bounded nonlinearities

    May 11, 2026Romain Petit, Clarice Poon, Gabriel PeyréGradient DescentFlat Minima

  14. Decentralized Contingency MPC based on Safe Sets for Nonlinear Multi-agent Collision Avoidance

    May 11, 2026Max Studt, Georg SchildbachCollision AvoidanceModel Predictive Control

  15. A Nonlinear Complexity Index for Wearable PPG Cardiovascular Stability: Multiscale Validation, Systematic Evaluation Correction, and Bayesian Parameter Optimization

    May 11, 2026Timothy Oladunni, Farouk Ganiyu AdewumiRemote PhotoplethysmographyCardiac

  16. Multifidelity Gaussian process regression for solving nonlinear partial differential equations

    May 11, 2026Fatima-Zahrae El-Boukkouri, Josselin Garnier, Olivier RoustantPartial Differential EquationsMulti-Fidelity

  17. Signature Approach for Contextual Bandits with Nonlinear and Path-dependent Rewards

    May 11, 2026Xin Guo, Grace He, Xinyu LiContextual Bandit FrameworkBandits

  18. Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning

    May 10, 2026Stefano Tonini, Soroush Rastegarpour, Hamid Reza Feyzmahdavian +2Lyapunov FunctionControl Architecture

  19. A Dirac-Frenkel-Onsager principle: Instantaneous residual minimization with gauge momentum for nonlinear parametrizations of PDE solutions

    Apr 30, 2026Matteo Raviola, Benjamin PeherstorferPartial Differential EquationsMomentum

  20. Man, Machine, and Mathematics

    Apr 29, 2026Akshunna S. DograUnified FormulationMathematics

  21. Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes

    Apr 24, 2026Tai Xuan Tan, Alexander Mitsos, Eike CramerGaussian ProcessModel Predictive Control

  22. The Exact Replica Threshold for Nonlinear Moments of Quantum States

    Apr 24, 2026Shuai ZengQubitOptimal Sample Complexity

  23. AC-SINDy: Compositional Sparse Identification of Nonlinear Dynamics

    Apr 20, 2026Peter RacioppoSystem IdentificationNonlinear Dynamics

  24. Choose Your Own Adventure: Non-Linear AI-Assisted Programming with EvoGraph

    Apr 20, 2026Vassilios Exarhakos, Jinghui Cheng, Jin L. C. GuoAi-Assisted Programming TasksNonlinearity

  25. Monotone but Exciting: On Evolving Monotone Boolean Functions with High Nonlinearity

    Apr 19, 2026Claude Carlet, Marko Čupić, Marko Ðurasevic +3MonotonicityGenetic Algorithms

  26. Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks

    Mar 16, 2026Yuri Kinoshita, Naoki Nishikawa, Taro ToyoizumiDiffusion-Based Dataset DistillationDataset Distillation

  27. Provable Subspace Identification of Nonlinear Multi-view CCA

    Feb 27, 2026Zhiwei Han, Stefan Matthes, Hao ShenIdentifiabilitySubspace

  28. CeRA: Breaking the Linear Ceiling of Low-Rank Adaptation with Non-linearity Retained at Inference

    Feb 26, 2026Hung-Hsuan ChenLow-Rank Adaptation FrameworkRapid Adaptation

  29. Patches of Nonlinearity: Instruction Vectors in Large Language Models

    Feb 8, 2026Irina Bigoulaeva, Jonas Rohweder, Subhabrata Dutta +1Instruction-Tuned ModelsMechanistic Interpretability

  30. Physical Analogue Kolmogorov-Arnold Networks based on Reconfigurable Nonlinear-Processing Units

    Feb 7, 2026Manuel Escudero, Mohamadreza Zolfagharinejad, Sjoerd van den Belt +2Kolmogorov-Arnold NetworksNeuromorphic Computing

  31. Nonlinearity as Rank: Generative Low-Rank Adapter with Radial Basis Functions

    Feb 5, 2026Yihao Ouyang, Shiwei Li, Haozhao Wang +5Radial Basis FunctionNonlinearity

  32. Linearized subspace refinement framework to expose hidden accuracy in trained neural networks

    Jan 20, 2026Wenbo Cao, Weiwei ZhangLeast SquaresSubspace

  33. Test time training enhances in-context learning of nonlinear functions

    Sep 30, 2025Kento Kuwataka, Taiji SuzukiIn-Context LearningTest-Time Training

  34. Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games

    Sep 22, 2025Eduardo Sebastián, Maitrayee Keskar, Eeman Iqbal +3Multi-Agent Reinforcement LearningPolicy Gradient

  35. Breaking the Weak Recovery Limit in Random Phase Retrieval with Learned Regularizers

    Sep 18, 2025Stanislas Ducotterd, Zhiyuan Hu, Michael Unser +1Bayesian Inverse ProblemsVisual Priors

  36. Non-Linear Model-Based Sequential Decision-Making in Agriculture

    Sep 2, 2025Sakshi Arya, Wentao LinSequential Decision MakingMediterranean Greenhouses

  37. Learning thermodynamic master equations for open quantum systems

    Jun 2, 2025Peter Sentz, Stanley Nicholson, Yujin Cho +3Quantum LearningHamiltonian

  38. Tailored minimal reservoir computing: on the bidirectional connection between nonlinearities in the reservoir and in data

    Apr 24, 2025Davide Prosperino, Haochun Ma, Christoph RäthReservoir ComputingReservoir

  39. Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications

    Jan 28, 2025Hanju Yoo, Dongha Choi, Yonghwi Kim +4Orthogonal Frequency-Division MultiplexingSemantic Communications

  40. Network Dynamics-Based Framework for Understanding Deep Neural Networks

    Jan 5, 2025Yuchen Lin, Yong Zhang, Sihan Feng +1Neural NetworkDeep Learning

  41. A Generalization Bound for Nearly-Linear Networks

    Jul 9, 2024Eugene GolikovGeneralization BoundsNonlinearity

  42. On Universality of Non-Separable Approximate Message Passing Algorithms

    Date pendingMax Lovig, Tianhao Wang, Zhou FanApproximationMessage Passing Neural Networks