Program

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Tuesday, 9 September 2025

    8.00 – 9.00Registration  
      9.00 – 10.30Tutorials
 The Virtual Brain Spase Petkoski (Aix-Marseille University, France)Dynamic Field Theory  Gregor Schöner (Ruhr-Universität Bochum, Germany)
10.30 – 11.00   Coffee Break
11.00 – 12.00Tutorials
 The Virtual Brain Marmaduke Woodman (Aix-Marseille University, France)Dynamic Field Theory  Gregor Schöner (Ruhr-Universität Bochum, Germany)
12.00 – 13.00   Lunch
13.00 – 15.00Tutorials
 GFlownets Emmanuel Bengio (Valence Labs/Recursion, Canada)    Simulated Bayesian Inference Michael Deistler (Machine Learning in Science, University of  Tübingen, Germany)Brain Visual Decoding with Generative Models Weihao Xia (University of Cambridge, UK) Cengiz Öztireli (University of Cambridge, UK)   
15.00 – 15.30   Coffee Break
15:30 – 17.00   Tutorials
 GFlownets Emmanuel Bengio (Valence Labs/Recursion, Canada)    Simulation-based Bayesian Inference Michael Deistler (Machine Learning in Science, University of  Tübingen, Germany)Brain Visual Decoding with Generative Models Weihao Xia (University of Cambridge, UK) Cengiz Öztireli (University of Cambridge, UK)   
17.00 – 17.30   Coffee Break
17.30 – 18.00   Opening and Welcome
    Stefan Wermter (President of the European Neural Network Society)    Juozas Augutis (Rector of Vytautas Magnus University)
18.00 – 19.00  Opening Keynote Lecture on AI Extracting Causality
   Causal Representations, World Models and Digital Twins   Bernhard Schölkopf   (Max Planck Institute for Intelligent Systems, Tübingen, Germany)
    19.00 – 21.00Concert & Welcoming Reception at Vytautas Magnus University

Wednesday, 10 September 2025

  7.30 – 8.30Registration
  8.30 – 9.00   Opening and Welcome
    Viktor Jirsa (EBRAINS Chief Science Officer)    Rimantas Benetis (Rector of Lithuanian University of Health Sciences, LSMU)    Arimantas Tamašauskas (Director of Neuroscience Institute, LSMU)
  9.00 – 10.00Keynote Lecture on Neuroscience and Whole Brain Simulations
 Virtual Brain Twins for Health and Disease Viktor Jirsa (Aix-Marseille University, France)
10.00 – 10.30Coffee Break
10.30 – 12.00Invited Talks EBRAINS Morning Session
10.30 – 11.15Teacher Propagation Through Space, Time and the Brain Mihai Petrovici (NeuroTMA Lab, University of Bern, Switzerland)
11.15 – 12:00Engineering Brain Activity Patterns for Therapeutics Mehmet Fatih Yanik (ETH Zurich, Switzerland, remote)
12.00 – 13.00Lunch
13.00 – 15.00Public Keynote Lecture & Panel Discussion
13.00 – 14.00Public Keynote Lecture on Ethics in AI & Neuroscience Neuroscience and AI for a Flourishing Life Christiane Woopen (University of Bonn, Germany)  
14.00 – 15.00Public Panel Discussion Where does AI lead to? Opportunities and Risks Bernhard Schölkopf, Christiane Woopen, Viktor Jirsa, Gintare Dziugaite, Yoshua Bengio (remote)
15.00 – 15.30Coffee Break
15.30 – 17.00Invited talks AI Afternoon Session
15.30 – 16.00Building Mechanistic Models of Neural Computations with Simulation-based  Machine Learning Michael Deistler (Machine Learning in Science, University of Tübingen, Germany)
16.00 – 16.30Scalable Strategies for AI Oversight of AI – Progress, Pitfalls and Path Forward Ameya Pandurang Prabh (Tübingen AI Center, University of Tübingen, Germany)
16.30 – 17.00Embodied Reasoning in the Physical World Ignas Budvytis (University of Cambridge, UK)
17.00 – 19.00Poster Sessions & Coffee
 Poster Session 1Poster Session 2
20.00 – 22.00   Gala Dinner at Science Island, Kaunas, Lithuania

Thursday, 11 September 2025

   8.00 –  9.00Registration
   9.00 – 11. 00Keynote Lectures on AI
   9.00 – 10.00AI and Generative Models Emmanuel Bengio (Valence Labs/Recursion, Canada)
10.00 – 11.00On Memorization and Unlearning Gintare Dziugaite (DeepMind, USA)
11.00 – 11.30Coffee Break
11:30 – 13.00Parallel Sessions & Workshop
 Parallel Session 1    Federated, Graph, and     Edge Intelligence  Parallel Session 2    Scientific and Physics-    Informed Machine    Learning  Workshop 1 AI in Drug Discovery Igor Tetko (Helmholtz Munich, Germany)
13.00 – 14.00Lunch
14.00 – 15:30Parallel Sessions & Workshop
    Parallel Session 3    Spiking and    Neuromorphic    IntelligenceParallel Session 4 Reinforcement Learning and Control Systems   Workshop 2 AI in Drug Discovery Igor Tetko (Helmholtz Munich, Germany)Workshop 3 Graph Neural Networks
15.30 – 16.00Coffee Break
16.00 – 17.00Parallel Sessions
 Parallel Session 5 Robustness, Generalization, and Out – of-Distribution LearningParallel Session 6 Symbolic Reasoning, Explainability, and Structured SystemsParallel Session 7   Foundations and Advances in Neural  Network ArchitecturesWorkshop 4 Graph Neural Networks
17.00 – 18.00Keynote Lecture on AI
 A Journey through Efficient Deep Learning on Graphs Alessio Micheli (University of Pisa, Italy)
18.00 – 19.00European Neural Network Society ENNS General Assembly    Meeting* Best Paper Award
20.00Sport Evening at Zalgirio Arena, Kaunas, Lithuania

Friday, 12 September 2025

     9.00 – 10.00Registration
   10.00 – 12.00Workshops
 3rd International Workshop on Reservoir Computing Domenico Tortorella (University of Pisa, Italy)Special Session on Neurorobotics Kristina Malinovska (Comenius University in Bratislava, Slovakia)
12.00 – 13.00Lunch Break
13.00 – 15.00Workshops
 3rd International Workshop on Reservoir Computing Domenico Tortorella (University of Pisa, Italy)Special Session on Neurorobotics Kristina Malinovska (Comenius University in Bratislava, Slovakia)
15.00 – 16.00 Closing Remarks and Farewell

Presentations:

SessionPaper Title
Federated, Graph, and Edge IntelligenceEnhancing Graph Neural Networks with Mixup-Based Knowledge Distillation
Federated, Graph, and Edge IntelligenceAccelerating Spatiotemporal Learning with minConvRNNs
Foundations and Advances in Neural Network ArchitecturesUnrolled Neural Adaptive Alternating Gradient Descent for NMF
Foundations and Advances in Neural Network ArchitecturesThe Power of Max Pooling Layer
Foundations and Advances in Neural Network ArchitecturesMTL-SIMNAS: Task Similarity-Driven Neural Architecture Search for Enhanced Multi-Task Learning.
Foundations and Advances in Neural Network ArchitecturesClassification of large data sets by neural networks: A probabilistic viewpoint
Foundations and Advances in Neural Network ArchitecturesAn Enhanced Dual-Stream Architecture \\ for State-of-the-Art \\ Artist and Style Classification
Foundations and Advances in Neural Network ArchitecturesRegularised Loss Function for Goal Recognition as a Deep Learning Task
Foundations and Advances in Neural Network ArchitecturesTime Series Generation for Augmenting Multi-Channel Automotive Audio Data
Reinforcement Learning and Control SystemsLearning to Optimize Entropy in the Soft Actor-Critic
Reinforcement Learning and Control SystemsEvolving Spatially Embedded Recurrent Spiking Neural Networks for Control Tasks
Reinforcement Learning and Control SystemsProactive Depot Discovery: A Generative DRL Framework for Adaptive Location-Routing
Reinforcement Learning and Control SystemsEvaluating the Impact of Data Curation on Off-Policy Reinforcement Learning
Reinforcement Learning and Control SystemsA Spiking Central Pattern Generator Capable of Adaptive Gait Control in Quadruped Locomotion
Robustness, Generalization, and Out-of-Distribution LearningPaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
Robustness, Generalization, and Out-of-Distribution LearningBeran Estimator Kernel Learning using Nearest-Neighbours and its Application to Reliability Analysis
Robustness, Generalization, and Out-of-Distribution LearningHow Inductive Biases Affect OOD Generalization: An Investigation in Formal Language Recognition with Autoregressive Models
Robustness, Generalization, and Out-of-Distribution LearningD2R: Dual Regularization Loss with Collaborative Adversarial Generation for Model Robustness
Robustness, Generalization, and Out-of-Distribution LearningUncertainty Quantification in Video Distortion Classification under Dataset Shift
Robustness, Generalization, and Out-of-Distribution LearningXOOD: A Self-Supervised Algorithm for Detecting Out-of-Distribution Data for Image Classification
Scientific and Physics-Informed Machine LearningStudying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals
Scientific and Physics-Informed Machine LearningSensor-Enhanced PINNs for Contaminant Dispersion Modeling
Scientific and Physics-Informed Machine LearningImproving physics-informed neural network extrapolation via transfer learning and adaptive activation functions
Scientific and Physics-Informed Machine LearningA Fokker-Planck Perspective on the Flow of Information in Continuous Memory Neural Networks
Spiking and Neuromorphic IntelligenceFiring rates and representational error in efficient spiking networks are bounded by design
Spiking and Neuromorphic IntelligenceContinuous representation of tactile information achieved by unsupervised liquid state machine
Spiking and Neuromorphic IntelligenceFull Integer Arithmetic Online Training for Spiking Neural Networks
Spiking and Neuromorphic IntelligenceEvaluating distributed storage mechanisms in a constructive model of associative memory
Symbolic Reasoning, Explainability, and Structured SystemsSmall transformer architectures for task switching
Symbolic Reasoning, Explainability, and Structured SystemsRDGE-6D: Reverse Direction Geometry Injection for 6D Pose Estimation
Symbolic Reasoning, Explainability, and Structured SystemsConSens: Assessing context grounding in open-book question answering
Symbolic Reasoning, Explainability, and Structured SystemsCan LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study
Symbolic Reasoning, Explainability, and Structured SystemsCorrecting the Modified Stochastic Synaptic Model of Synaptic Dynamics – Refinement of Vesicle and Neurotransmitters Functions
Symbolic Reasoning, Explainability, and Structured SystemsRobustness Verification for Object Detectors using Set-Based Reachability Analysis
Symbolic Reasoning, Explainability, and Structured SystemsIdentification and Realization of a Class of Discrete Event Systems by Neural Networks -Timed Petri Nets-
Poster session #1Wavelet-based Self-image Blending for More General Face Forgery Detection
Poster session #1Understanding Image Classification Prediction with Any Segment Explanation
Poster session #1Neural QSLIM for Mesh Autoencoders
Poster session #1DelGrad: Exact event-based gradients in spiking networks for training delays and weights
Poster session #1Amortizing Personnalization in Virtual Brain Twins
Poster session #1Stochastic Covariance Regularization for Imbalanced Datasets
Poster session #1Efficient Learning in Spiking Neural Networks – Introducing Feedback Alignment to the Reinforced Liquid State Machine
Poster session #1Object-Centric Dreamer
Poster session #1Backpropagation through space, time and the brain
Poster session #1Weight transport through spike timing for robust local gradients
Poster session #1Leveraging Machine-Translated Data for Sentiment Analysis in Low-Resource Languages: A Case Study on Bengali
Poster session #1The Explainability-Performance Coefficient: A New Metric for Model Transparency
Poster session #1NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction
Poster session #1Continuous Fair SMOTE – Fairness-Aware Stream Learning from Imbalanced Data
Poster session #1Constrained Learnable Channel-wise Normalization for Single-Source Domain Generalization in Medical Image Segmentation
Poster session #1A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers
Poster session #1VideoPCDNet: Video Parsing and Prediction with Phase Correlation Networks
Poster session #1Surrogate-Assisted Multi-Objective Design of Complex Multibody Systems
Poster session #2Dimensionality Reduction of Protein Language Model Embeddings for Viral Clustering
Poster session #2Efficient ReliefF: A low-power optimization of ReliefF for resource-constrained devices
Poster session #2Enhancing Adversarial Robustness through Multi-Objective Representation Learning

Poster session #2Prototype-Guided Local Spatial Attention for Model Explanation
Poster session #2Effect of Neuromodulation on the Brain Dynamical Repertoire
Poster session #2Sustainable techniques to improve Data Quality for training image-based explanatory models for Recommender Systems
Poster session #2Real-time and personalized product recommendations for large e-commerce platforms
Poster session #2MENGLAN:Multiscale Enhanced Nonparametric Gas Analyzer with Lightweight Architecture and Networks
Poster session #2ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks
Poster session #2Perpetual Generation: Online Learning of Linear State-Space Models from a Single Stream
Poster session #2DFU-Net: A Diffusion-based Fourier Neural Operator-aided U-Net Model for Medical Image Segmentation in Edge Devices
Poster session #2Targeted trust-based merging of customers’ opinions
Poster session #2A Scene Text Detection Method Based on Supervised Contrastive Learning
Poster session #2Beyond Reconstruction: A Physics Based Neural Deferred Shader for Photo-realistic Rendering
Poster session #2Merging versus Separating Replay Samples in Continual Learning
Poster session #2Signal-to-noise difference as a correlate of class learning in neural networks
Poster session #2Complexity and Criticality in Neuro-Inspired Reservoirs
Poster session #2Modulation of Brain Activity via Deep Brain Stimulation in Parkinson’s Disease Patients: Individualized EEG- based assessment
Virtual sessionHARNet: Human Activity Recognition with Spatial-temporal Features
Virtual sessionACGCN: A Sequence-Attention-Based Graph Convolutional Model for Enhanced Recommendation Systems
Virtual sessionHCNQA: Enhancing 3D Visual Question-Answering with Hierarchical Concentration Narrowing Supervision
Virtual sessionText-Image Encoder-based Contrastive Regression for AI-Generated Image Quality Assessment
Virtual sessionDeblurring with Improved Video Diffusion Model
Virtual sessionHyperparameter-Free Bi-Level Knowledge Graph Optimization for Link Prediction
Virtual sessionMRT-NAS: Boosting Training-free NAS via Manifold Regularization
Virtual sessionSWIFT: State-space Wavelet Integrated Forecasting Technology for Enhanced Time Series Prediction
Virtual sessionMSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models
Virtual sessionDeepCTL: Neural Branching-Time CTL Satisfiability Checking via Recursive Decision Trees
Virtual sessionFederated Privacy-Preserving for Cross-Domain Sequential Recommendation
Virtual sessionEpilepsy Prediction based on Intra- and Inter-Channel Feature Mixing
Virtual sessionMFMamba: A Hierarchical Weakly Causal Mamba with Multi-Scale Feature Fusion for Vision Tasks
Virtual sessionF2Unet: F-shaped U-Net Architecture for Medical Image Segmentation Combining Fourier Transforms
Virtual sessionEfficient Real-Time On-Mobile Video Super-Resolution with Automatic Evolutionary Neural Architecture Search
Virtual sessionSwin-DAG-VNet for Fetal Head Segmentation and Elliptical Parameter Regression for Circumference Measurement
Virtual sessionGPIS: Geometric Informed Polygon Prompt for Incision Segmentation
Virtual sessionCharacterizing trainability, expressivity and generalization of neural architecture with metrics from neural tangent kernel
Virtual sessionTopological Enhancement Learning Module for Segmentation of Complex and Irregular Structures in 3D Medical Imaging
Virtual sessionMulti-Representation Adapter with Neural Architecture Search for Efficient Range-Doppler Radar Object Detection
Virtual sessionFine-grained Recognition of Arteriovenous Fistula Stenosis Using Blood Flow Sounds: An Animal Model-Based Dataset and a Frequency-Aware Decoupling Network
Virtual sessionSMART-RetroNet: A Framework for Chemical Retrosynthesis Prediction
Virtual sessionLPSF-LiDARNet: Log-Polar Spatiotemporal Fusion-Based LiDAR Point Cloud Semantic Segmentation for Autonomous Driving
Virtual sessionFew-shot Learning for Syndrome Differentiation with Two Prompts
Virtual sessionPSRDET: Fast Multimodal Detecton based on Prior Scene Repair for All-weather Road Sensing
Virtual sessionFedTP: Traceable Passport-based Ownership Verification for Federated Deep Neural Network Models
Virtual sessionArt Style Backdoor Attacks on Semantic Segmentation Models
Virtual sessionCLIP-Guided Frequency-Aware Representation Learning for Generalizable Remote-Sensing Image Tampering Detection
Virtual sessionParallelizing Sharpness-Aware Minimization: A Semi-Asynchronous, Small-Batch Approach
Virtual sessionAn Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models
Virtual sessionGeneralized Object Detection in the Infrared Domain based on Common-Representation Learning
Virtual sessionBalance Discriminability and Integrality for Robust Salient Object Detection
Virtual sessionUnsupervised Domain Adaptive Hand Mesh Reconstruction of 2D Images in the Wild
Virtual sessionMultimodal Sentiment Analysis with Parallel Attention and Correlation Fusion
Virtual sessionTowards Context-Aware Compositional Zero-Shot Food Recognition via SalientFusion
Virtual session​SparWR: A Lightweight Architecture for Medical Grayscale Image Super-Resolution
Virtual sessionA Hybrid Learning Approach for Continual Knowledge Graph Embedding: Contrastive Masking and Joint Anti-Forgetting
Virtual sessionSparse Attention Diffusion Model for Pathological Micrograph Deblurring
Virtual sessionMPCCP:A Multi-chain Perception Crime Charge Prediction Method
Virtual sessionBrain Generative Replay for Continual Learning
Virtual sessionRRetFC: Leveraging Recursive Retrieval For LLM-Enhanced Complex Fact-Checking
Virtual sessionDynamic Ensembles Towards Out-Of-Distribution Generalization of Affect Models
Virtual sessionRDIF: Infrared and Visible Image Fusion Based on Reverse Cross-Attention and Diffusion Model
Virtual sessionFeature-Aware Sequence Models for Tabular Data Processing with Missing Values
Virtual sessionCIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization
Virtual sessionCascade Pre-Attention: Regulating Neuronal Activation Distributions in MetaFormer-Based Spiking Neural Networks
Virtual sessionTopic-Driven Hyper-Relational Knowledge Graphs with Adaptive Reconstruction for Multi-Hop Question Answering Using LLMs
Virtual sessionTowards Better Graph Anomaly Detection: A Performance-Aware Neural Architecture Search Approach
Virtual sessionYOLO11n_BSS: Examination Room Behaviors Detection Based on Improved YOLO11n Model
Virtual sessionConformalized Causal Learning for Uncertainty-Aware Mineral Prospectivity Mapping
Virtual sessionLearning Joint General and Specific Representation with Masked Auto-encoder for Radiology Report Generation
Virtual sessionProcess Adaptive Learning for Visual-Language Navigation
Virtual sessionAudio-Driven Talking Head Generation with Emotion Based on FLAME Geometry Model
Virtual sessionImproving Stability of Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning
Virtual sessionEfficient Long-Term Motion Feature Learning via Frequency-Based Key Frame Guidance for Action Recognition
Virtual sessionGLFMamba-U: Global-Local Fused Mamba-Unet
Virtual sessionRegion Expansion: Optimization of Patch-fetching Method for Point Cloud Denoising
Virtual sessionSAMTNU: Adaptive Segment Anything Model for Thyroid and Nodule Ultrasound Image Segmentation
Virtual sessionFaceSnap: Enhanced ID-fidelity Network for Tuning-free Portrait Customization
Virtual sessionImproving the Transferability of Point Cloud Attack via Spectral-aware Admix and Optimization Designs
Virtual sessionToward Better Document-Level Relation Extraction: De-Sampling and Mixture of Experts in Action
Virtual sessionCSM: Corn Instance Segmentation Model Fusing Dilated Residual Networks and Low-Rank Adaptation
Virtual sessionIHCP:Image Hiding against Blind Compression Based on Quality Prediction
Virtual sessionChiMDQA: Towards Comprehensive Chinese Document QA with Fine-grained Evaluation
Virtual sessionUniform Representation of Parametric CAD Models for Generative Application
Virtual sessionEmotional Text-to-Speech via Style Decoder with Emotion Shared Styleformer Block and RoPE Prior Encoder
Virtual sessionKANLoc: WiFi Localization with A Lightweight KAN
Virtual sessionDualGF: Example-based Path Planning via Dual Gradient Fields
Virtual sessionImproving monotonic optimization in heterogeneous multi-agent reinforcement learning with optimal marginal deterministic policy gradient
Virtual sessionEarly Acoustic and Vision Cross-modal Interation Learning for Multimal Sentiment Analysis
Virtual sessionPIMSeg: Point Cloud Segmentation via 2D Image Mapping and Multimodal Feature Integration
Virtual sessionTrustworthy Learning with Noisy Labels
Virtual sessionIncorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation
Virtual sessionViSMoE: Visual-Aware Sparse Mixture-of-Experts for Embodied Referring Expression Grounding
Virtual sessionPaFi-GS: Gaussian Splatting via Propagation-Aware Filtering for Urban Street View Rendering
Virtual sessionTimeFlowDiffuser: A Hierarchical Diffusion Framework with Adaptive Context Sampling for Multi-Horizon Time Series Forecasting
Reinforcement Learning and Control SystemsDopamine-modulated Learning and Decision-making with Neuromorphic Computing
Virtual sessionFDFRL: Credit Card Fraud Detection Based on Federated Reinforcement Learning
Virtual sessionVision-Text Interaction with Orientation-Awareness for Referring Remote Sensing Image Segmentation
Virtual sessionA Unified Platform to Evaluate STDP Learning Rule and Synapse Model using Pattern Recognition in a Spiking Neural Network
Virtual sessionConDTab: Conditional Diffusion Transformer for Mixed-Type Tabular Synthesis with Dual Attention Latent Encoding
Virtual sessionSentiAug: Adaptive Keywords Replacement and Confidence-guided Self-training Selection for Robust Sentiment Classification
Virtual sessionU-FQA: A Unified Face Quality Assessment Score for Improved Unknown Identity Detection in Facial Recognition Systems
Virtual sessionA Two-Stage Framework Integrating Prompt Learning and Fine-tuning for Code Summarization
Virtual sessionDialGACL: Nonlinear Graph Attention Reasoning with Contrastive Learning for Complex Dialogue Fact Verification
Virtual sessionDA-NeRF: High-Fidelity Talking Face Generation From Speech With Neural Radiance Fields
Virtual sessionImproving Consistency Distillation with Rectified Trajectories
Virtual sessionCM-MNet: A Coordinate Space-Aware Mamba-Based Multi-Task Model for 3D Fine Lesions in Elongated Structures Segmentation and Diagnosis in MS and NMOSD
Virtual sessionProblem-Driven and Shape-Guided: Multi-scale Deform KAN for X-shaped Anterior Visual Pathway Segmentation
Virtual sessionA Camouflaged Object Detection Network with Global Cross-space Perception and Flexible Local Feature Refinement Network
Virtual sessionTimbreAdv: Timbre Adversarial Attacks on Speaker Verification Systems
Virtual sessionAccurate SDF Reconstruction with Geometric-Differential Regularization and Categorized Sampling Strategy
Virtual sessionSee Beyond: Benchmarking MLLMs’ Visual Relational Reasoning Ability
Virtual sessionCatastrophic Forgetting Mitigation via Discrepancy-Weighted Experience Replay
Virtual sessionHeteroCap: Hierarchical Visual-Semantic Fusion with Heterogeneous Graphs for Image Captioning
Virtual sessionDual-Head Feature Enhancement for Graph-Based Cross-View Multi-Object Tracking
Virtual sessionOptimized Supervised Control of Stochastic Timed Discrete Event Systems using Supervisory Control Theory and Reinforcement learning
Virtual sessionA Classification Algorithm for Bronchiolitis Obliterans in Pediatric CT Images with Extreme Class Imbalance
Virtual sessionDISEncoder:A Dual-Branch Query Encoder Using Graph Models for Distributed Databases
Virtual sessionA Subject-Independent Stress Detection Model Based on Temporal Feature Disentanglement
Virtual sessionSupervised feature selection with class self-representation
Virtual sessionPGD: Probe Guided Decoding for Alignment
Virtual sessionSemantic Enhanced Interaction for Unsupervised Cross-modal Hashing Retrieval
Virtual session
FedP2PAvg: A Peer-to-Peer Collaborative Framework for Federated Learning in Non-IID Scenarios
Virtual session
AgileIR: Memory-Efficient Group Shifted Windows Attention for Lightweight Image Restoration
Virtual session
PhysMamba: Synergistic State Space Duality Model for Remote Physiological Measurement
Virtual session
Uncovering Causal Relation Shifts in Event Sequences under Out-of-Domain Interventions