Papers
Tue 14 Jan 2025
260 papers
- Evaluating Computational Accuracy of Large Language Models in Numerical Reasoning Tasks for Healthcare ApplicationsLLM reasoning → Clinical and biomedical applications
- Playing Devil's Advocate: Unmasking Toxicity and Vulnerabilities in Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Towards Zero-Shot & Explainable Video Description by Reasoning over Graphs of Events in Space and TimeLLM reasoning → Multimodal reasoning
- Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference AttackLLM safety and security → Membership inference attacks
- Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion ModelsDiffusion models → Video generation
- DAViD: Modeling Dynamic Affordance of 3D Objects Using Pre-trained Video Diffusion ModelsDiffusion models → Video generation
- MangaNinja: Line Art Colorization with Precise Reference FollowingDiffusion models → Image generation, text-to-image and editing
- Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped NoiseDiffusion models → Video generation
- Omni-RGPT: Unifying Image and Video Region-level Understanding via Token MarksMultimodal LLMs / vision-language models → Video understanding with MLLMs
- GameFactory: Creating New Games with Generative Interactive VideosWorld models → Video-generation world models and simulators
- ADAM: An AI Reasoning and Bioinformatics Model for Alzheimer's Disease Detection and Microbiome-Clinical Data IntegrationLLM reasoning → Clinical and biomedical applications
- Diffusion Adversarial Post-Training for One-Step Video GenerationDiffusion models → Video generation
- MiniMax-01: Scaling Foundation Models with Lightning AttentionMixture-of-experts → MoE large language models
- LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Addressing the sustainable AI trilemma: a case study on LLM agents and RAGLLM agents and tool use → Web, search, and research agents
- FDPP: Fine-tune Diffusion Policy with Human PreferenceDiffusion models → Diffusion and flow policies for robotics +1
- Eliciting In-context Retrieval and Reasoning for Long-context Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation +1
- Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity ConstraintsLLM safety and security → Prompt injection and agent security
- Engineering LLM Powered Multi-agent Framework for Autonomous CloudOpsLLM agents and tool use → Software engineering coding agents
- FramePainter: Endowing Interactive Image Editing with Video Diffusion PriorsDiffusion models → Video generation
- Optimization of Link Configuration for Satellite Communication Using Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- ASTRID -- An Automated and Scalable TRIaD for the Evaluation of RAG-based Clinical Question Answering SystemsRetrieval-augmented generation → Medical and biomedical RAG
- PRESERVE: Prefetching Model Weights and KV-Cache in Distributed LLM ServingEfficient LLM inference and serving → KV cache optimization
- D2-DPM: Dual Denoising for Quantized Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
- LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process ThinkingLLM reasoning → Chain-of-thought reasoning for driving +1
- DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI ReconstructionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Are DeepSeek R1 And Other Reasoning Models More Faithful?LLM reasoning → Reasoning benchmarks and evaluation
- In-situ graph reasoning and knowledge expansion using Graph-PReFLexORLLM reasoning → Knowledge- and tool-augmented reasoning
- Data-driven inventory management for new products: An adjusted Dyna-Q approach with transfer learningDeep reinforcement learning methods → RL for energy, networks and operations
- Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- A Roadmap to Guide the Integration of LLMs in Hierarchical PlanningLLM reasoning → Reasoning for agents, planning and code
- READ: Reinforcement-based Adversarial Learning for Text Classification with Limited Labeled DataDeep reinforcement learning methods → RL training of language and agent models
- Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel AcquisitionDiffusion models → Diffusion for compression and wireless
- Reward Compatibility: A Framework for Inverse RLOffline RL and imitation learning from data → Inverse reinforcement learning +1
- Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Self-Instruct Few-Shot Jailbreaking: Decompose the Attack into Pattern and Behavior LearningSynthetic data and self-improvement for LLMs → Safety of self-evolving systems +1
- VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Leveraging Metamemory Agent for Enhanced Data-Free Code Generation in Large Language ModelsLLM agents and tool use → Software engineering coding agents
- GRAPHMOE: Amplifying Cognitive Depth of Mixture-of-Experts Network via Introducing Self-Rethinking MechanismLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Iterative Label Refinement Matters More than Preference Optimization under Weak SupervisionLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process RewardingLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- A Driver Advisory System Based on Large Language Model for High-speed TrainRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Flow: Modularized Agentic Workflow AutomationLLM agents and tool use → Software engineering coding agents
- 3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Talk to Right Specialists: Iterative Routing in Multi-agent Systems for Question AnsweringRetrieval-augmented generation → Agentic RAG, agents and memory
- CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code GenerationLLM agents and tool use → Software engineering coding agents
- AVS-Mamba: Exploring Temporal and Multi-modal Mamba for Audio-Visual SegmentationState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Balance Divergence for Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Visual Language Models as Operator Agents in the Space DomainMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Unsupervised Query Routing for Retrieval Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- BMIP: Bi-directional Modality Interaction Prompt Learning for VLMMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud RegistrationMixture-of-experts → Vision mixture-of-experts
- Entwicklung einer Webanwendung zur Generierung von skolemisierten RDF Daten f"ur die Verwaltung von Lieferketten
- AI-Powered Assistive Technologies for Visual Impairment
- Developing Enhanced Conversational Agents for Social Virtual Worlds
- DNN-Powered MLOps Pipeline Optimization for Large Language Models: A Framework for Automated Deployment and Resource Management
- PhyDeformer: High-Quality Non-Rigid Garment Registration with Physics-Awareness
- Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture
- Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation
- Automating Credit Card Limit Adjustments Using Machine Learning
- Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching
- Enhancing the De-identification of Personally Identifiable Information in Educational Data
- Do generative video models understand physical principles?
- Physics-Informed Machine Learning for Microscale Drying of Plant-Based Foods: A Systematic Review of Computational Models and Experimental Insights
- Quantifying the Importance of Data Alignment in Downstream Model Performance
- Automotive Elevation Mapping with Interferometric Synthetic Aperture Radar
- FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing
- The Theater Stage as Laboratory: Review of Real-Time Comedy LLM Systems for Live Performance
- Benchmarking Classical, Deep, and Generative Models for Human Activity Recognition
- Detecting Contextual Anomalies by Discovering Consistent Spatial Regions
- Selective Attention Merging for low resource tasks: A case study of Child ASR
- Predicting Performance of Object Detection Models in Electron Microscopy Using Random Forests
- Time series forecasting for multidimensional telemetry data using GAN and BiLSTM in a Digital Twin
- Head Motion Degrades Machine Learning Classification of Alzheimer's Disease from Positron Emission Tomography
- RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image Segmentation
- Large Language Models For Text Classification: Case Study And Comprehensive Review
- Keras Sig: Efficient Path Signature Computation on GPU in Keras 3
- Active Sampling for Node Attribute Completion on Graphs
- Poseidon: A ViT-based Architecture for Multi-Frame Pose Estimation with Adaptive Frame Weighting and Multi-Scale Feature Fusion
- Jochre 3 and the Yiddish OCR corpus
- Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies
- FARE: A Deep Learning-Based Framework for Radar-based Face Recognition and Out-of-distribution Detection
- Physics-informed neural networks for phase-resolved data assimilation and prediction of nonlinear ocean waves
- Modeling Discrimination with Causal Abstraction
- Physics-Informed Latent Neural Operator for Real-time Predictions of time-dependent parametric PDEs
- Causal vs. Anticausal merging of predictors
- Is Stochastic Gradient Descent Effective? A PDE Perspective on Machine Learning processes
- LiLaN: A Linear Latent Network as the Solution Operator for Real-Time Solutions to Stiff Nonlinear Ordinary Differential Equations
- SEAL: Speaker Error Correction using Acoustic-conditioned Large Language Models
- CVaR-Based Variational Quantum Optimization for User Association in Handoff-Aware Vehicular Networks
- Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics
- Labeling Free-text Data using Language Model Ensembles
- BiDepth: A Bidirectional-Depth Neural Network for Spatio-Temporal Prediction
- Leveraging 2D Masked Reconstruction for Domain Adaptation of 3D Pose Estimation
- OptiChat: Bridging Optimization Models and Practitioners with Large Language Models
- Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge
All 260
- Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning
- Empathetic Conversational Agents: Utilizing Neural and Physiological Signals for Enhanced Empathetic Interactions
- 3D Gaussian Splatting with Normal Information for Mesh Extraction and Improved Rendering
- Towards Best Practices for Open Datasets for LLM Training
- Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation
- Gradient Equilibrium in Online Learning: Theory and Applications
- Predicting 4D Hand Trajectory from Monocular Videos
- PokerBench: Training Large Language Models to become Professional Poker Players
- Exploring Robustness of Multilingual LLMs on Real-World Noisy Data
- Enhancing Automated Interpretability with Output-Centric Feature Descriptions
- A Similarity Measure Between Functions with Applications to Statistical Learning and Optimization
- Everybody Likes to Sleep: A Computer-Assisted Comparison of Object Naming Data from 30 Languages
- Environmental Feature Engineering and Statistical Validation for ML-Based Path Loss Prediction
- Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series Classification
- Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers
- Polynomial Threshold Functions of Bounded Tree-Width: Some Explainability and Complexity Aspects
- A Survey on Pedophile Attribution Techniques for Online Platforms
- LayerAnimate: Layer-level Control for Animation
- HALoGEN: Fantastic LLM Hallucinations and Where to Find Them
- Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolve
- VINGS-Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes
- Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
- AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages
- NEUROLOGIC: From Neural Representations to Interpretable Logic Rules
- SmartEraser: Remove Anything from Images using Masked-Region Guidance
- Exploring Robustness of LLMs to Paraphrasing Based on Sociodemographic Factors
- Comparative Analysis of Efficient Adapter-Based Fine-Tuning of State-of-the-Art Transformer Models
- AI Driven Water Segmentation with deep learning models for Enhanced Flood Monitoring
- Multiplayer Federated Learning: Reaching Equilibrium with Less Communication
- Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World
- Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context Adaptation
- A Feature-Level Ensemble Model for COVID-19 Identification in CXR Images using Choquet Integral and Differential Evolution Optimization
- Privacy-Preserving Model and Preprocessing Verification for Machine Learning
- Dynamic Pricing in High-Speed Railways Using Multi-Agent Reinforcement Learning
- Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models
- Big Batch Bayesian Active Learning by Considering Predictive Probabilities
- Characterizing LLM Inference Energy-Performance Tradeoffs across Workloads and GPU Scaling
- Modeling Feature Maps for Quantum Machine Learning
- ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving
- Data-driven system identification using quadratic embeddings of nonlinear dynamics
- Globally Convergent Variational Inference
- CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation
- EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition
- OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training
- Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models
- Modeling Quantum Machine Learning for Genomic Data Analysis
- A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
- A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following
- Assessing AI Adoption and Digitalization in SMEs: A Framework for Implementation
- CG-MER: A Card Game-based Multimodal dataset for Emotion Recognition
- Object-Centric 2D Gaussian Splatting: Background Removal and Occlusion-Aware Pruning for Compact Object Models
- Benchmarking Multimodal Models for Fine-Grained Image Analysis: A Comparative Study Across Diverse Visual Features
- Revolutionizing Communication with Deep Learning and XAI for Enhanced Arabic Sign Language Recognition
- Potential and Perils of Large Language Models as Judges of Unstructured Textual Data
- I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution
- FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification
- Energy Backdoor Attack to Deep Neural Networks
- Multiple-Input Variational Auto-Encoder for Anomaly Detection in Heterogeneous Data
- Refusal Behavior in Large Language Models: A Nonlinear Perspective
- Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying
- EEG-ReMinD: Enhancing Neurodegenerative EEG Decoding through Self-Supervised State Reconstruction-Primed Riemannian Dynamics
- Audio-Visual Deepfake Detection With Local Temporal Inconsistencies
- An Empirical Wall-Pressure Spectrum Model for Aeroacoustic Predictions Based on Symbolic Regression
- SAR Strikes Back: A New Hope for RSVQA
- Revisiting Birds Eye View Perception Models with Frozen Foundation Models: DINOv2 and Metric3Dv2
- RoHan: Robust Hand Detection in Operation Room
- Change Captioning in Remote Sensing: Evolution to SAT-Cap -- A Single-Stage Transformer Approach
- EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision
- Consistency of Responses and Continuations Generated by Large Language Models on Social Media
- Smooth Handovers via Smoothed Online Learning
- Guiding the classification of hepatocellular carcinoma on 3D CT-scans using deep and handcrafted radiological features
- CellOMaps: A Compact Representation for Robust Classification of Lung Adenocarcinoma Growth Patterns
- Hierarchical Autoscaling for Large Language Model Serving with Chiron
- AgentPose: Progressive Distribution Alignment via Feature Agent for Human Pose Distillation
- A Neural Operator-Based Approach to Symbolic Discovery of PDEs
- Dynamic Multimodal Sentiment Analysis: Leveraging Cross-Modal Attention for Enabled Classification
- Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving
- Artificial Liver Classifier: A New Alternative to Conventional Machine Learning Models
- Optimal Policy Adaptation under Covariate Shift
- Skeleton and Font Generation Network for Zero-shot Chinese Character Generation
- Optimizing Speech Multi-View Feature Fusion through Conditional Computation
- Exploring Narrative Clustering in Large Language Models: A Layerwise Analysis of BERT
- On the use of Statistical Learning Theory for model selection in Structural Health Monitoring
- Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation
- Gen-A: Generalizing Ambisonics Neural Encoding to Unseen Microphone Arrays
- Building Symbiotic AI: Reviewing the AI Act for a Human-Centred, Principle-Based Framework
- UFGraphFR: Graph Federation Recommendation System based on User Text description features
- PolyLUT: Ultra-low Latency Polynomial Inference with Hardware-Aware Structured Pruning
- Exploring visual language models as a powerful tool in the diagnosis of Ewing Sarcoma
- Convergence Analysis of Real-time Recurrent Learning (RTRL) for a class of Recurrent Neural Networks
- Robust Low-Light Human Pose Estimation through Illumination-Texture Modulation
- Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks
- Cooperative Patrol Routing: Optimizing Urban Crime Surveillance through Multi-Agent Reinforcement Learning
- An AI-driven framework for rapid and localized optimizations of urban open spaces
- Tutorial: VAE as an inference paradigm for neuroimaging
- TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
- DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection
- Formalising lexical and syntactic diversity for data sampling in French
- Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning
- GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation
- Unsupervised Feature Construction for Anomaly Detection in Time Series -- An Evaluation
- Combining imaging and shape features for prediction tasks of Alzheimer's disease classification and brain age regression
- LLM-Ehnanced Holonic Architecture for Ad-Hoc Scalable SoS
- Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins
- GAC-Net_Geometric and attention-based Network for Depth Completion
- CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing
- Threshold Attention Network for Semantic Segmentation of Remote Sensing Images
- V-Trans4Style: Visual Transition Recommendation for Video Production Style Adaptation
- Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness
- Comprehensive Metapath-based Heterogeneous Graph Transformer for Gene-Disease Association Prediction
- Derivation of Output Correlation Inferences for Multi-Output (aka Multi-Task) Gaussian Process
- SkipClick: Combining Quick Responses and Low-Level Features for Interactive Segmentation in Winter Sports Contexts
- AI Guide Dog: Egocentric Path Prediction on Smartphone
- Robust Hyperspectral Image Panshapring via Sparse Spatial-Spectral Representation
- "Wait, did you mean the doctor?": Collecting a Dialogue Corpus for Topical Analysis
- Early prediction of the transferability of bovine embryos from videomicroscopy
- Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations
- An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
- Gandalf the Red: Adaptive Security for LLMs
- Phase of Flight Classification in Aviation Safety using LSTM, GRU, and BiLSTM: A Case Study with ASN Dataset
- Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques
- Aviation Safety Enhancement via NLP & Deep Learning: Classifying Flight Phases in ATSB Safety Reports
- Large Language Model Interface for Home Energy Management Systems
- Governing AI Agents
- Deep Learning and Natural Language Processing in the Field of Construction
- Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained Environments
- Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound
- Cloud Removal With PolSAR-Optical Data Fusion Using A Two-Flow Residual Network
- Demographic Variability in Face Image Quality Measures
- Anytime Cooperative Implicit Hitting Set Solving
- Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling
- MD-Syn: Synergistic drug combination prediction based on the multidimensional feature fusion method and attention mechanisms
- Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal
- Continual Learning with Embedding Layer Surgery and Task-wise Beam Search using Whisper
- Make-A-Character 2: Animatable 3D Character Generation From a Single Image
- deepTerra -- AI Land Classification Made Easy
- Hierarchical Repository-Level Code Summarization for Business Applications Using Local LLMs
- State-of-the-Art Transformer Models for Image Super-Resolution: Techniques, Challenges, and Applications
- Optimizing Language Models for Grammatical Acceptability: A Comparative Study of Fine-Tuning Techniques
- An Intra- and Cross-frame Topological Consistency Scheme for Semi-supervised Atherosclerotic Coronary Plaque Segmentation
- The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation
- Prediction Interval Construction Method for Electricity Prices
- Efficient Real-time Refinement of Language Model Text Generation
- A Multi-Encoder Frozen-Decoder Approach for Fine-Tuning Large Language Models
- STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via
- Conformal mapping based Physics-informed neural networks for designing neutral inclusions
- A Low-cost and Ultra-lightweight Binary Neural Network for Traffic Signal Recognition
- Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
- A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security
- BioPose: Biomechanically-accurate 3D Pose Estimation from Monocular Videos
- Black-box Optimization with Simultaneous Statistical Inference for Optimal Performance
- Linearly Convergent Mixup Learning
- Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding
- Transforming Indoor Localization: Advanced Transformer Architecture for NLOS Dominated Wireless Environments with Distributed Sensors
- Symmetry-Aware Generative Modeling through Learned Canonicalization
- Large Language Models for Knowledge Graph Embedding: A Survey
- PINN-FEM: A Hybrid Approach for Enforcing Dirichlet Boundary Conditions in Physics-Informed Neural Networks
- Deep Learning for Disease Outbreak Prediction: A Robust Early Warning Signal for Transcritical Bifurcations
- On the Statistical Capacity of Deep Generative Models
- Impatient Bandits: Optimizing for the Long-Term Without Delay