Energy-Based Models

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1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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Nested Power Models for Multirotor Propulsion: From Aerodynamic Drag to Electrical Losses
Oct 6, 2026Antonio Franchi, Aaron Saini, Ahmed Ali +1Energy-Based Models
Robotics and Mechatronics group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands · Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy
Metacognitive Reasoning in Energy Based Models using Instance Based Learning Theory
Sep 30, 2026Tailia Malloy, Prateek Kumar Rajput, Serge Lionel Nikiema +2Cost-Aware Inference Energy-Based Models
Interdisciplinary Center for Security, Reliability, and Trust, University of Luxembourg, Luxembourg · Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh PA
Observation-Conditioned Latent Energy Priors for Sparse Implicit Neural Shape Completion
Sep 3, 2026Paul Büschl, Ezequiel de la Rosa, Julia Wolleb +3Implicit Neural Representations 3D Reconstruction
Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland · Department of Medical Oncology and Hematology, University Hospital Zurich, Zurich, Switzerland · ETH AI Center, ETH Zurich, Zurich, Switzerland +3
In-Context Density Estimation for Tabular Data
Aug 10, 2026Patryk Marszałek, Jacek Tabor, Marek ŚmiejaEnergy-Based Models Unsupervised Anomaly Detection
Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland
A Hierarchical Energy-Based Model for Multimodal Cognition
Aug 8, 2026Subir VarmaComputational Cognitive Modeling Cognitive Modeling
General Cognitics
Comparing SGLD and a fixed-noise Predictor-Corrector adaptation in canonical Joint Energy-Based Models on CIFAR-10
Aug 5, 2026Dmytro KnopovStochastic Gradient Langevin Dynamics Langevin Dynamics
Faculty of Computer Sciences, Department of Mathematics, National University of Kyiv-Mohyla Academy, Kyiv, Ukraine.
Thermalizing Stochastic Programs
Aug 3, 2026Mirko Amico, Andraž Jelinčič, Colin Oscar Nancarrow +6Thermodynamic Computing Energy-Efficient ML
Extropic Corporation, San Francisco, California 94111, USA · CUNY Graduate Center, New York, NY, USA
DiffuseAgent-MI: Distributionally-Grounded,Tool-Integrated Self-Evolving Agents for Faithful Visual Reasoning
Aug 1, 2026An Lanji, Dawei Liu, Jin Li +3AI Agent Reliability VLM Interpretability
University of Electronic Science and Technology of China, Chengdu, China.
Kohn-Sham Spectral Embedding on Sparse Graphs at the Nishimori Temperature for Image Classification
Jul 30, 2026V. S. Usatyuk, D. A. Sapozhnikov, S. I. EgorovGraph Representation Learning Energy-Based Models
Department of Computer Engineering, South-West State University (SWSU), Kursk, 305040 Russia · T8 LLC, R&D Department, Information Theory Group, Moscow, 107076 Russia
Equilibrium Training of Energy-Based Models with Parallel Trajectory Tempering
Jul 29, 2026Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner +1Markov Chain Monte Carlo Energy-Based Models
Université Paris-Saclay, CNRS, INRIA, LISN, 91190 Gif-sur-Yvette, France · Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, Spain · Departamento de Física Teórica & IPARCOS, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Grasp, Handover, Rotate: Bimanual Object Reorientation via Compositional Diffusion and Energy-Based Optimization
Jul 23, 2026Wun Lam Yeung, Wenjun Liu, Yui Cheung Yu +5Robotic Grasping Bimanual Robotic Manipulation
The Hong Kong University of Science and Technology · Shenzhen Loop Area Institute
A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing
Jul 17, 2026Owen Lockwood, Jérémy Béjanin, Joost Bus +4Thermodynamic Computing Energy-Efficient ML
Extropic Corporation, San Francisco, California 94111, USA · 2Noumenal Labs Inc, Dallas, Texas 75229, USA · 1Extropic Corporation, San Francisco, California 94111, USA +1
Energy-Based Physics-Informed Form Finding for Clustered Tensegrity Structures
Jul 14, 2026Jing Qin, Muhao ChenStructural Mechanics Energy-Based Models
Department of Mathematics, University of Kentucky, Lexington, KY 40506, USA · Department of Mechanical and Aerospace Engineering, University of Houston, Houston, TX 77204, USA
Learning from Noise: Effective-Rank Collapse and Out-of-Distribution Rejection in Restricted Boltzmann Machines
Jul 11, 2026Oshada Rathnayake, Nikhil ShuklaEnergy-Based Models Classification
University of Virginia, Charlottesville, VA, 22903, USA
Energy-guided Recursive Model
Jul 11, 2026Yifei Zhao, Ying TangInference-Time Search Energy-Based Models
Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China · School of Physics, University of Electronic Science and Technology of China, Chengdu 611731, China
Answer Set Programming Energised! End-to-End Neurosymbolic Reasoning and Learning with ASP and Energy Based Models
Jul 9, 2026Jakob Suchan, Julius Monsen, Salim Baloch +1Energy-Based Models Answer Set Programming
Constructor University Bremen, Bremen, Germany · CoDesign Lab > Cognitive Vision · Örebro University, Örebro, Sweden
From Graphs to Gradients: Physics-Inspired Structural Attribution for Cyber-Physical IoT Systems and Beyond
Jul 6, 2026Spyridon Evangelatos, Christos Diou, Georgios Th. Papadopoulos +2Cyber-Physical Systems Feature Attribution
Research & Innovation Development Department, Netcompany S.A., Luxembourg · Department of Informatics and Telematics, Harokopio University of Athens, Greece · Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Greece +1
Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space
Jul 2, 2026Long Minh Bui, Tuan Anh Le Van, Tung Phi Duc +3Energy-Based Models Heavy-Tailed Distributions
Washington State University · Hanoi University of Science and Technology
Data-Driven Energy-Based Learning via Gibbs Measures on Hierarchical Structures
Jun 29, 2026L. U. Abdullaev, F. Herrera, U. A. Rozikov +1Statistical Physics of Learning Phase Transitions
National University of Singapore, Singapore · Department of Computer Science and Artificial Intelligence, University of Granada, E-18071 Granada, Spain · V.I. Romanovskiy Institute of Mathematics, Uzbekistan Academy of Sciences, 9, Universitet str., 100174, Tashkent, Uzbekistan +3
Retrieval-Warmed Energy-Based Reasoning: A Five-Arm Ablation Methodology for Diffusion-as-Inference on Structured Reasoning Tasks
Jun 25, 2026Libo Sun, Po-Wei Harn, Zewei Zhang +2Diffusion Sampling Energy-Based Models
Department of Computer Science and Software Engineering, Auburn University, Auburn, AL 36830, USA · Department of Information Management, National Central University, Taoyuan 320317, Taiwan
An iterative energy-based multimodal transformer for joint retrieval of wheat soil moisture, leaf area index, and plant height from Sentinel-1 and Sentinel-2 time series
Jun 23, 2026Shubham Kumar Singh, Peilei Fan, Suraj A. Yadav +2Agricultural Remote Sensing Transformer
Department of Urban and Environmental Policy and Program, Tufts University, 503 Boston Ave., Medford, MA 02155 · Electrical and Computer Engineering Department, Mississippi State University, Mississippi, USA, 39762 · Department of Physics, Indian Institute of Technology (BHU), Varanasi, India 221005 +1
Energy-Based Transformers as Predictors of Reading Difficulty
Jun 22, 2026Jakub Dotlacil, Ece TakmazEnergy-Based Models Computational Psycholinguistics
Utrecht University
AURA: Active-Response Attribution under Treatment Ambiguity in Bacterial Cytological Profiling
Jun 15, 2026Kartik Jhawar, Mrunmayee Deshpande, Wilfried Moreira +2Energy-Based Models Microscopy Image Analysis
Institute for Digital Molecular Analytics and Science, Nanyang Technological University, Singapore 636921 · School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798 · Institute for Functional Intelligent Materials, National University of Singapore, Singapore 117544
Controlled Dynamics Attractor Transformer
Jun 13, 2026Cheng Zhang, Minnan Luo, Zesheng Yang +3Energy-Based Models Graph Classification
School of Computer Science and Technology, MOEK-LINNS Lab, Xi’an Jiaotong University, Xi’an, Shaanxi, China · Department of Computer Science and Technology, Tsinghua University, Beijing, China
ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs
Jun 9, 2026Xianlin Zeng, Fan Xia, Xiangyu ChenGraph Representation Learning Cross-Modal Alignment
Postdoctoral Research Station at China RongTong Academy of Sciences Group Corporation Limited, Beijing, China · Duke University, Durham, NC, USA.
Unified Energy for Invariant and Independent Decoding in Diffusion Language Models
Jun 8, 2026Yuchen Yan, Minkai Xu, Zaiquan Yang +1Energy-Based Models Diffusion Language Model Decoding
Department of Computer Science National University of Singapore · Department of Computer Science Stanford University · Department of Computer Science City University of Hong Kong
Optimizing Energy-based Neural Network Training with Coherent Ising Machine
Jun 8, 2026Chen-Rui Fan, Bo Lu, Zhi-Hong Zhang +3Equilibrium Propagation Neural Network Optimization
School of Artiﬁcial Intelligence, Beijing Normal University, Beijing, 100875, China. · Laboratory for Advanced Computing and Intelligence Engineering, Information Engineering University, Zhengzhou, 450001, China. · China Mobile (Suzhou) Software Technology Company Limited, Suzhou, 215163, China.
Hybridizing Equilibrium Propagation with Ising Machines for Efficient Energy-Based Learning
Jun 8, 2026Chen-Rui Fan, Bo Lu, Xing-Yu Wu +2Equilibrium Propagation Hopfield Networks
School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China · Laboratory for Advanced Computing and Intelligence Engineering, Information Engineering University, Zhengzhou 450001, China · School of Physical Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
Training a Predictive Coding Network on ImageNet using Equilibrium Propagation
Jun 2, 2026Tugdual Kerjan, Rasmus Høier, Benjamin ScellierEquilibrium Propagation Predictive Coding
Rain AI
Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences
May 26, 2026Hanlin Yu, RuiKang OuYang, Partha Kaushik +3Contrastive Learning Stochastic Interpolants
University of Helsinki · University of Cambridge · Carnegie Mellon University +1
Not Too Generative, Not Too Discriminative: The Human Alignment Sweet Spot
May 22, 2026Jorge Chang Ortega, Bastien Le Lan, Thomas Serre +1Visual Representation Learning Energy-Based Models
ANITI · Brown University, ANITI · CNRS, ANITI
Convex Compositional Reasoning Models
May 22, 2026Meir Roketlishvili, Semyon Semenov, Maksim Bobrin +7Compositional Reasoning Energy-Based Models
Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE · Applied AI Institute, Computational Imaging Lab · AXXX
Equilibrium Propagation and Hamiltonian Inference in the Diffusive Fitzhugh-Nagumo Model
May 20, 2026Jack KendallEquilibrium Propagation Dynamical Systems
Zyphra · San Francisco, CA
Generating Physically Consistent Molecules with Energy-Based Models
May 18, 2026Christoph Griesbacher, Lea Bogensperger, Andreas Habring +1Energy-Based Models 3D Molecular Generation
Graz University of Technology · University of Zurich
Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning
May 15, 2026Shireen Kudukkil Manchingal, Abhey Kalia, Fernanda Gonçalves +1LLM Answer Verification Energy-Based Models
Oxford Dynamics · Harwell Science and Innovation Campus, United Kingdom
Learning Normalized Energy Models for Linear Inverse Problems
May 15, 2026Nicolas Zilberstein, Santiago Segarra, Eero Simoncelli +1Bayesian Inverse Problems Energy-Based Models
Rice University, Houston, TX, USA · Flatiron Institute, New York, NY, USA · New York University, New York, NY, USA
Free Energy Manifold: Score-Based Inference for Hybrid Bayesian Networks
May 11, 2026Cheol Young Park, Shou MatsumotoBayesian Networks Energy-Based Models
ATOS Co., Ltd., 273, Digital-ro, Guro-gu, Seoul, 08381, Republic of Korea · C5I Center, George Mason University, Fairfax, VA 22030, USA
Constant-Target Energy Matching: A Unified Framework for Continuous and Discrete Density Estimation
May 9, 2026Zhijun Zeng, Yixuan Jiang, Pipi Hu +1Energy-Based Models Density Estimation
Qiuzhen College Tsinghua University Beijing 100084, China · Yanqi Lake Beijing Institute of Mathematical Sciences and Applications Beijing 101408, China · Yau Mathematical Sciences Center Tsinghua University, Beijing 100084, China and Yanqi Lake Beijing Institute of Mathematical Sciences and Applications Beijing 101408, China
Spherical Boltzmann machines: a solvable theory of learning and generation in energy-based models
May 9, 2026Thomas Tulinski, Simona Cocco, Rémi Monasson +1Statistical Physics of Learning Phase Transitions
Laboratoire de Physique de l’École Normale Supérieure, PSL, CNRS UMR8023, Sorbonne Université, 24 rue Lhomond, 75005 Paris, France · Institut de Physique Théorique, Université Paris-Saclay,2026 CNRS UMR3681, CEA, Gif-sur-Yvette, France
Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device
May 9, 2026Phil Travis, Troy CarterEnergy-Based Models Conditional Generative Modeling
Ergodic LLC, USA · Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, USA
Distributional simplicity bias and effective convexity in Energy Based Models
May 8, 2026Aurélien Decelle, Alfonso de Jesús Navas Gómez, Beatriz SeoaneEnergy-Based Models Gradient Descent Dynamics
Escuela Técnica Superior de Ingenieros Industriales Universidad Politécnica de Madrid Calle de José Gutiérrez Abascal 2, Madrid 28006, Spain · Departamento de Física Teórica Universidad Complutense de Madrid Plaza de las Ciencias 1, Madrid 28040 · Departamento de Física Teórica & IPARCOS Universidad Complutense de Madrid Plaza de las Ciencias 1, Madrid 28040
Revisiting Transformer Layer Parameterization Through Causal Energy Minimization
May 8, 2026Jin Xu, Camille Couturier, Victor Rühle +2Transformer Energy-Based Models
Microsoft · Microsoft Research Cambridge
Three-in-One World Model: Energy-Based Consistency, Prediction, and Counterfactual Inference for Marketing Intervention
May 8, 2026Junichiro NiimiCausal Effect Estimation World Model Learning
1Meijo University
Energy Generative Modeling: A Lyapunov-based Energy Matching Perspective
May 7, 2026Yixuan Wang, Wenqian Xue, Warren E. DixonEnergy-Based Models
Department of Mechanical and Aerospace Engineering University of Florida
Flow Sampling: Learning to Sample from Unnormalized Densities via Denoising Conditional Processes
May 5, 2026Aaron Havens, Brian Karrer, Neta ShaulDiffusion Sampling Energy-Based Models
FAIR at Meta · Weizmann Institute of Science
Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision
May 1, 2026Jiali Cui, Zhiqiang Lao, Heather YuVariational Autoencoders Markov Chain Monte Carlo
Basking Ridge, New Jersey, USA Futurewei Technologies Inc · Basking Ridge, New Jersey, USA2026 Futurewei Technologies Inc
Energy-Based Constraint Networks: Learning Structural Coherence Across Modalities
May 1, 2026Chirag ShindeEnergy-Based Models Anomaly Detection
Independent Researcher
Recovering Hidden Reward in Diffusion-Based Policies
May 1, 2026Yanbiao Ji, Qiuchang Li, Yuting Hu +7Reinforcement Learning Diffusion Policy
Shanghai Jiao Tong University · KOKONI 3D
ESIA: An Energy-Based Spatiotemporal Interaction-Aware Framework for Pedestrian Intention Prediction
Apr 26, 2026Yanping Wu, Meiting Dang, Lin Wu +3Pedestrian Intention Prediction Pedestrian Behavior Modeling
James Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, United Kingdom · School of Computing Science, University of Glasgow, Glasgow, G12 8QQ, United Kingdom
Energy-Based Open-Set Active Learning for Object Classification
Apr 22, 2026Zongyao Lyu, William J. BeksiActive Learning Open-Set Recognition
The University of Texas at Arlington, Arlington TX 76019, USA
StrEBM: A Structured Latent Energy-Based Model for Blind Source Separation
Apr 19, 2026Yuan-Hao WeiDisentangled Representation Learning Latent Variable Models
Training Energy-Based Models with Non-MCMC Samplers and Efficient Temperature Estimation
Dec 2, 2025Kentaro Kubo, Hayato GotoEnergy-Based Models
Corporate Laboratory, Toshiba Corporation, Kawasaki, Kanagawa 212-8582, Japan · RIKEN Center for Quantum Computing (RQC), Wako, Saitama 351-0198, Japan
Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics
Oct 14, 2025Joanna Marks, Tim Y. J. Wang, O. Deniz AkyildizParameter Estimation Latent Variable Models
Department of Mathematics, Imperial College London
Uniform-in-time convergence bounds for Persistent Contrastive Divergence algorithms
Oct 2, 2025Paul Felix Valsecchi Oliva, O. Deniz Akyildiz, Andrew DuncanParameter Estimation Stochastic Approximation
Department of Mathematics, Imperial College London
Neural Langevin Machine: a local asymmetric learning rule can be creative
Jun 30, 2025Zhendong Yu, Weizhong Huang, Haiping HuangNeural Network Generalization Image Generation
PMI Lab, School of Physics, Sun Yat-sen University, Guangzhou 510275, People’s Republic of China · Guangdong Provincial Key Laboratory of Magnetoelectric Physics and Devices, Sun Yat-sen University, Guangzhou 510275, People’s Republic of China

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Nested Power Models for Multirotor Propulsion: From Aerodynamic Drag to Electrical Losses

Antonio Franchi, Aaron Saini, Ahmed Ali, Chiara Gabellieri

Robotics and Mechatronics group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands · Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy

Energy-Based Models

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Speed-only aerodynamic power models for multirotor propulsion cannot represent acceleration-dependent effects. This work develops a nested sequence of propulsion-power models that starts from aerodynamic power dissipation and progressively introduces a reversible kinetic-energy rate, torque-dependent electromechanical dissipation, and lumped speed-proportional dissipation. The models are identified using one subset of experiments and validated using the other on a motor-drive-propeller unit. Independent estimates of rotational inertia and aerodynamic drag complement predictive validation by assessing whether the models correctly attribute the measured power to reversible kinetic-energy exchange and irreversible dissipation and, within the latter, to aerodynamic and electromechanical losses. The results show that the reversible kinetic-energy rate is necessary but insufficient for accurate dynamic power prediction. Dissipation proportional to the squared motor torque provides the main additional improvement, while speed-proportional dissipation further prevents irreversible losses from being attributed to reversible kinetic-energy exchange. The resulting methodology provides a reusable and experimentally verifiable basis for developing and selecting dynamic propulsion-power models for multirotor systems.

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