Physical Neural Networks

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10 papers2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. On physical implementability of reinforcement-learning-driven reasoning

    Oct 9, 2026Eiji KonishiPhysical Neural NetworksRL for Language Model Reasoning

    Graduate School of Human and Environmental Studies, Kyoto University, Kyoto 606-8501, Japan

  2. Physical Muon: Orthogonalization as an Equilibrium Computation

    Sep 29, 2026Yuren HaoPhysical Neural NetworksNeural Network Optimization

    University of Illinois at Urbana-Champaign

  3. Trust-Aware Output Management for Physical Neural Network in Cloud-Continuum Systems

    Sep 18, 2026Maliheh Hariri, Stefan FischerPhysical Neural NetworksSelective Prediction

    University of Lübeck, Institute of Telematics, 23562 Lübeck, Germany

  4. CP2^2N2^2: A Control Plane for Heterogeneous Physical Neural Networks

    May 5, 2026Stefan Fischer, Maliheh Hariri, Sebastian OtteHeterogeneous ComputingPhysical Neural Networks

    University of Luebeck, Institute of Telematics · University of Luebeck, Institute of Robotics and Cognitive Systems

  5. Sequential Learning and Catastrophic Forgetting in Differentiable Resistor Networks

    May 2, 2026Maniru IbrahimContinual LearningPhysical Neural Networks

    Mathematics Applications Consortium for Science and Industry (MACSI), Department of Mathematics and Statistics, University of Limerick, Limerick, Ireland

  6. Physical Foundation Models: Fixed hardware implementations of large-scale neural networks

    Apr 30, 2026Logan G Wright, Tianyu Wang, Tatsuhiro Onodera +1Efficient Neural Network InferenceAI Accelerator Inference

    Department of Applied Physics, Yale University, New Haven, CT 06520, USA · Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA · School of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA +2

  7. Fully Analog Resonant Recurrent Neural Network via Metacircuit

    Apr 19, 2026Zixin Zhou, Tianxi Jiang, Menglong Yang +3Efficient Neural Network InferenceTime Series Classification

    Institute of Humanoid Robots, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, People’s Republic of China · State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China

  8. Training single-electron and single-photon stochastic physical neural networks

    Apr 12, 2026Tong Dou, Shiro Kumara, Josh Burns +6Handwritten Digit RecognitionPhysical Neural Networks

    School of Engineering and Technology, UNSW Canberra, Campbell, ACT 2600, Australia · Sussex Centre for Quantum Technologies, University of Sussex, Brighton BN1 9RH, United Kingdom · Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom +2

  9. Local learning for stable backpropagation-free neural network training towards physical learning

    Mar 25, 2026Yaqi Guo, Fabian Braun, Bastiaan Ketelaar +3Physical Neural NetworksNeural Network Optimization

    Department of Materials Science and Engineering, Delft University of Technology, Mekelweg 2, Delft, 2628CD, The Netherlands · Department of Precision and Microsystems Engineering, Delft University of Technology, Mekelweg 2, Delft, 2628CD, The Netherlands · Department of Intelligent Systems, Delft University of Technology, Van Mourik Broekmanweg 6, Delft 2628XE, The Netherlands

  10. Time-multiplexed layer reuse for physical neural networks

    Oct 28, 2025Kohei Tsuchiyama, Andre Roehm, Takatomo Mihana +1Efficient Neural Network InferencePhysical Neural Networks

    Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8656, Tokyo, Japan.