Papers
Fri 22 Nov 2024
256 papers
- Conditional Text-to-Image Generation with Reference GuidanceDiffusion models → Image generation, text-to-image and editing
- On the Impact of Fine-Tuning on Chain-of-Thought ReasoningLLM reasoning → Test-time compute and efficient thinking
- Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay BuffersDeep reinforcement learning methods → RL theory and sample complexity
- Exploiting Watermark-Based Defense Mechanisms in Text-to-Image Diffusion Models for Unauthorized Data UsageDiffusion models → Robustness, privacy and adversarial aspects +1
- Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM FrameworkLLM agents and tool use → General LLM agent frameworks and benchmarks
- UniGaussian: Driving Scene Reconstruction from Multiple Camera Models via Unified Gaussian RepresentationsWorld models → World models for autonomous driving
- MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Frequency-Guided Posterior Sampling for Diffusion-Based Image RestorationDiffusion models → Inverse problems and image restoration
- ElastiFormer: Learned Redundancy Reduction in Transformer via Self-DistillationLLM reasoning → Test-time compute and efficient thinking +1
- EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud RegistrationDiffusion models → 3D, point cloud and scene generation
- MambaIRv2: Attentive State Space RestorationState-space sequence models (S4, Mamba) → Mamba for image restoration
- ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- MovieBench: A Hierarchical Movie Level Dataset for Long Video GenerationDiffusion models → Video generation
- VIVID-10M: A Dataset and Baseline for Versatile and Interactive Video Local EditingDiffusion models → Video generation
- OSMamba: Omnidirectional Spectral Mamba with Dual-Domain Prior Generator for Exposure CorrectionDiffusion models → Medical imaging and segmentation +1
- Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate RewardDiffusion models → Diffusion and flow policies for robotics +2
- Adversarial Prompt Distillation for Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space DualityState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Preserving Angles Improves Feature DistillationKnowledge distillation → General knowledge distillation methods
- DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +1
- Material Anything: Generating Materials for Any 3D Object via DiffusionDiffusion models → 3D, point cloud and scene generation
- WildLMa: Long Horizon Loco-Manipulation in the WildOffline RL and imitation learning from data → Robot manipulation imitation learning
- Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingLLM reasoning → Reinforcement learning for reasoning
- Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized RefinementDiffusion models → Video generation
- RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human expertsLLM agents and tool use → Web, search, and research agents
- Efficient Pruning of Text-to-Image Models: Insights from Pruning Stable DiffusionDiffusion models → Image generation, text-to-image and editing
- XGrammar: Flexible and Efficient Structured Generation Engine for Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- OminiControl: Minimal and Universal Control for Diffusion TransformerDiffusion models → Diffusion foundations and sampling
- Leapfrog Latent Consistency Model (LLCM) for Medical Images GenerationDiffusion models → Medical imaging and segmentation
- On Feasible Rewards in Multi-Agent Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless ApplicationsEnd-to-end autonomous driving → Reinforcement learning for driving
- mR2AG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQAMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention HeadsDiffusion models → Image generation, text-to-image and editing
- FloAt: Flow Warping of Self-Attention for Clothing Animation GenerationDiffusion models → 3D, point cloud and scene generation
- DyCoke: Dynamic Compression of Tokens for Fast Video Large Language ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared RepresentationsDeep reinforcement learning methods → RL for energy, networks and operations
- ScribeAgent: Towards Specialized Web Agents Using Production-Scale Workflow DataLLM agents and tool use → Web, search, and research agents
- Adaptive Group Robust Ensemble Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Large Multi-modal Models Can Interpret Features in Large Multi-modal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- LLM for Barcodes: Generating Diverse Synthetic Data for Identity DocumentsSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
- Information Extraction from Heterogeneous Documents without Ground Truth Labels using Synthetic Label Generation and Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- GOT4Rec: Graph of Thoughts for Sequential RecommendationLLM reasoning → LLM reasoning for recommendation
- Task-Aware Robotic Grasping by evaluating Quality Diversity Solutions through Foundation ModelsLLM reasoning → Spatial and embodied reasoning
- Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile ManipulationDiffusion models → Diffusion and flow policies for robotics
- ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long VideosMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Preference Alignment for Diffusion Model via Explicit Denoised Distribution EstimationDiffusion models → Diffusion and flow policies for robotics +1
- Latent Schrodinger Bridge: Prompting Latent Diffusion for Fast Unpaired Image-to-Image TranslationDiffusion models → Diffusion foundations and sampling
- VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Harlequin: Color-driven Generation of Synthetic Data for Referring Expression ComprehensionSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- Continual SFT Matches Multimodal RLHF with Negative SupervisionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame SelectionLLM reasoning → Multimodal reasoning +1
- Style-Friendly SNR Sampler for Style-Driven GenerationDiffusion models → Image generation, text-to-image and editing
- KBAlign: Efficient Self Adaptation on Specific Knowledge BasesRetrieval-augmented generation → RAG robustness and adaptive retrieval
- FastGrasp: Efficient Grasp Synthesis with DiffusionDiffusion models → Diffusion and flow policies for robotics
- Segmenting Action-Value Functions Over Time-Scales in SARSA via TD(Delta)Deep reinforcement learning methods → RL theory and sample complexity
- TEXGen: a Generative Diffusion Model for Mesh TexturesDiffusion models → 3D, point cloud and scene generation
- Universal and Context-Independent Triggers for Precise Control of LLM OutputsLLM safety and security → Prompt injection and agent security
- Enhancing Molecular Design through Graph-based Topological Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Evaluating and Advancing Multimodal Large Language Models in Perception Ability LensMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- FedMLLM: Federated Fine-tuning MLLM on Multimodal Heterogeneity DataMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Any-to-3D Generation via Hybrid Diffusion SupervisionDiffusion models → 3D, point cloud and scene generation
- Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven DistillationLLM reasoning → Prompting and chain-of-thought reasoning
- TrojanEdit: Multimodal Backdoor Attack Against Image Editing ModelDiffusion models → Robustness, privacy and adversarial aspects +1
- Differentially Private Adaptation of Diffusion Models via Noisy Aggregated EmbeddingsDiffusion models → Robustness, privacy and adversarial aspects
- Multi-modal Representation Learning Enables Accurate Protein Function Prediction in Low-Data Setting
- Detecting Visual Triggers in Cannabis Imagery: A CLIP-Based Multi-Labeling Framework with Local-Global Aggregation
- SpikeFI: A Fault Injection Framework for Spiking Neural Networks
- Understanding the Impact of News Articles on the Movement of Market Index: A Case on Nifty 50
- FEAD: Figma-Enhanced App Design Framework for Improving UI/UX in Educational App Development
- FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector
- TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
- Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis
- Soil Characterization of Watermelon Field through Internet of Things: A New Approach to Soil Salinity Measurement
- Fast convolution algorithm for state space models
- Analytic Continuation by Feature Learning
- Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification
- PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
- TPIE: Topology-Preserved Image Editing With Text Instructions
- SafeLight: Enhancing Security in Optical Convolutional Neural Network Accelerators
- A Brief Summary of Explanatory Virtues
- Global spatio-temporal downscaling of ERA5 precipitation through generative AI
- Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional Data Processing
- Improved Background Estimation for Gas Plume Identification in Hyperspectral Images
- AdamZ: An Enhanced Optimisation Method for Neural Network Training
- Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering
- The Power of Types: Exploring the Impact of Type Checking on Neural Bug Detection in Dynamically Typed Languages
- Personalization of Wearable Sensor-Based Joint Kinematic Estimation Using Computer Vision for Hip Exoskeleton Applications
- Exploring Facets of Language Generation in the Limit
- Designing Cellular Manufacturing Systems in the Presence of Alternative Process Plans
- Accelerating CALPHAD-based Phase Diagram Predictions in Complex Alloys Using Universal Machine Learning Potentials: Opportunities and Challenges
- Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice
- Zero-Shot Coreset Selection via Iterative Subspace Sampling
- GeoScatt-GNN: A Geometric Scattering Transform-Based Graph Neural Network Model for Ames Mutagenicity Prediction
- Dependence Induced Representations
- Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy
- PPLqa: An Unsupervised Information-Theoretic Quality Metric for Comparing Generative Large Language Models
- Lie-Equivariant Quantum Graph Neural Networks
- Heavy-tailed Contamination is Easier than Adversarial Contamination
- Influence functions and regularity tangents for efficient active learning
- GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS
All 256
- There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks
- Sycophancy in Large Language Models: Causes and Mitigations
- Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors
- When Spatial meets Temporal in Action Recognition
- A Plug-and-Play Temporal Normalization Module for Robust Remote Photoplethysmography
- Don't Mesh with Me: Generating Constructive Solid Geometry Instead of Meshes by Fine-Tuning a Code-Generation LLM
- Foundation Cures Personalization: Improving Personalized Models' Prompt Consistency via Hidden Foundation Knowledge
- Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras
- Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer
- Curriculum-enhanced GroupDRO: Challenging the Norm of Avoiding Curriculum Learning in Subpopulation Shift Setups
- BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques
- Proportional infinite-width infinite-depth limit for deep linear neural networks
- Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
- AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10
- The Explabox: Model-Agnostic Machine Learning Transparency & Analysis
- A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids
- Unsupervised Machine Learning for Osteoporosis Diagnosis Using Singh Index Clustering on Hip Radiographs
- LocRef-Diffusion:Tuning-Free Layout and Appearance-Guided Generation
- Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction
- TPLogAD: Unsupervised Log Anomaly Detection Based on Event Templates and Key Parameters
- J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume
- AnyText2: Visual Text Generation and Editing With Customizable Attributes
- Bio-inspired AI: Integrating Biological Complexity into Artificial Intelligence
- The Zamba2 Suite: Technical Report
- A Foundation Model for Wearable Movement Data in Mental Health Research
- The BS-meter: Detecting Politics and Labour through ChatGPT's Language
- Health AI Developer Foundations
- PRIMUS: Pretraining IMU Encoders with Multimodal Self-Supervision
- ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation
- Learnable Activation Functions in Physics-Informed Neural Networks for Solving Partial Differential Equations
- A Real-Time DETR Approach to Bangladesh Road Object Detection for Autonomous Vehicles
- Effective Littlestone Dimension
- About Time: Advances, Challenges, and Outlooks of Action Understanding
- AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution
- What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning
- Context-Aware Multimodal Pretraining
- RED: Effective Trajectory Representation Learning with Comprehensive Information
- Dimension-independent rates for structured neural density estimation
- Phrase-Instance Alignment for Generalized Referring Segmentation
- Quantum-enhanced unsupervised image segmentation for medical images analysis
- Towards Speaker Identification with Minimal Dataset and Constrained Resources using 1D-Convolution Neural Network
- RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency
- Learning to Stabilize Faces
- Locating the Leading Edge of Cultural Change
- Linear convergence of proximal descent schemes on the Wasserstein space
- SPAC-Net: Rethinking Point Cloud Completion with Structural Prior
- Empowering Clients -- Transformation of Design Processes Due to Generative AI
- Hallucination Detection in Virtually-Stained Histology: A Latent Space Baseline
- Financial Risk Assessment via Long-term Payment Behavior Sequence Folding
- Fantastic Biases (What are They) and Where to Find Them
- Open-Vocabulary Online Semantic Mapping for SLAM
- Safe Multi-Agent Reinforcement Learning with Convergence to Generalized Nash Equilibrium
- One to rule them all: natural language to bind communication, perception and action
- Time is on my sight: scene graph filtering for dynamic environment perception in an LLM-driven robot
- Neural 4D Evolution under Large Topological Changes from 2D Images
- MSSF: A 4D Radar and Camera Fusion Framework With Multi-Stage Sampling for 3D Object Detection in Autonomous Driving
- Evolutionary Automata and Deep Evolutionary Computation
- FTA generation using GenAI with an Autonomy sensor Usecase
- A New Way: Kronecker-Factored Approximate Curvature Deep Hedging and its Benefits
- Learning Lifted STRIPS Models from Action Traces Alone: A Simple, General, and Scalable Solution
- Differentiable Biomechanics for Markerless Motion Capture in Upper Limb Stroke Rehabilitation: A Comparison with Optical Motion Capture
- Free Energy Projective Simulation (FEPS): Active inference with interpretability
- Exploring Foundation Models Fine-Tuning for Cytology Classification
- 3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes
- Open-Amp: Synthetic Data Framework for Audio Effect Foundation Models
- Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation
- SwissADT: An Audio Description Translation System for Swiss Languages
- LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
- Design-o-meter: Towards Evaluating and Refining Graphic Designs
- Evaluating Vision Transformer Models for Visual Quality Control in Industrial Manufacturing
- Morph: A Motion-free Physics Optimization Framework for Human Motion Generation
- Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach
- Comparative Study of Neural Network Methods for Solving Topological Solitons
- Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks
- Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning
- LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation
- Purrfessor: A Fine-tuned Multimodal LLaVA Diet Health Chatbot
- Predictive Modeling For Real-Time Personalized Health Monitoring in Muscular Dystrophy Management
- DAIRHuM: A Platform for Directly Aligning AI Representations with Human Musical Judgments applied to Carnatic Music
- Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification
- Evaluating LLM Prompts for Data Augmentation in Multi-label Classification of Ecological Texts
- Abnormality Prediction and Forecasting of Laboratory Values from Electrocardiogram Signals Using Multimodal Deep Learning
- Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation
- Leveraging Hierarchical Prototypes as the Verbalizer for Implicit Discourse Relation Recognition
- Astro-HEP-BERT: A bidirectional language model for studying the meanings of concepts in astrophysics and high energy physics
- Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penalty
- Implementation of Real-Time Lane Detection on Autonomous Mobile Robot
- Application of AI to formal methods - an analysis of current trends
- BIP3D: Bridging 2D Images and 3D Perception for Embodied Intelligence
- Defective Edge Detection Using Cascaded Ensemble Canny Operator
- Towards Dependable Optical Flow: Benchmarks for Real-World Spatiotemporal Corruptions
- Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems
- Domain and Range Aware Synthetic Negatives Generation for Knowledge Graph Embedding Models
- Applications of fractional calculus in learned optimization
- Dynamics-Aware Gaussian Splatting Streaming Towards Fast On-the-Fly 4D Reconstruction
- Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models
- Bayesian dynamic mode decomposition for real-time ship motion digital twinning
- Evaluating the Robustness of the "Ensemble Everything Everywhere" Defense
- Cell as Point: One-Stage Framework for Efficient Cell Tracking
- Physically Interpretable Probabilistic Domain Characterization
- Omni-IML: Towards Unified Image Manipulation Localization
- Unsupervised Multi-view UAV Image Geo-localization via Iterative Rendering
- Fine-Grained Alignment in Vision-and-Language Navigation through Bayesian Optimization
- High-Resolution Image Synthesis via Next-Token Prediction
- Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach
- Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections
- De-biased Multimodal Electrocardiogram Analysis
- Simplifying CLIP: Unleashing the Power of Large-Scale Models on Consumer-level Computers
- Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding
- A Benchmark Dataset for Collaborative SLAM in Service Environments
- Resolution-Agnostic Transformer-based Climate Downscaling
- Mode-conditioned music learning and composition: a spiking neural network inspired by neuroscience and psychology
- Grid and Road Expressions Are Complementary for Trajectory Representation Learning
- An Attention-based Framework for Fair Contrastive Learning
- Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction
- Hammer: Towards Efficient Hot-Cold Data Identification via Online Learning
- FairAdapter: Detecting AI-generated Images with Improved Fairness
- Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy
- TopoSD: Topology-Enhanced Lane Segment Perception with SDMap Prior
- Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer
- Cosmological Analysis with Calibrated Neural Quantile Estimation and Approximate Simulators
- Point Cloud Understanding via Attention-Driven Contrastive Learning
- FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
- IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search
- AI Tailoring: Evaluating Influence of Image Features on Fashion Product Popularity
- FLARE: FP-Less PTQ and Low-ENOB ADC Based AMS-PiM for Error-Resilient, Fast, and Efficient Transformer Acceleration
- K-GBS3FCM -- KNN Graph-Based Safe Semi-Supervised Fuzzy C-Means
- HyReaL: Clustering Attributed Graph via Hyper-Complex Space Representation Learning
- Effective SAM Combination for Open-Vocabulary Semantic Segmentation
- MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts
- Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models
- VisionPAD: A Vision-Centric Pre-training Paradigm for Autonomous Driving
- LIBER: Lifelong User Behavior Modeling Based on Large Language Models
- Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods
- Understanding LLM Embeddings for Regression
- Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval
- Scalable Community Detection Using Quantum Hamiltonian Descent and QUBO Formulation
- Anti-Forgetting Adaptation for Unsupervised Person Re-identification
- A Data-Driven Pool Strategy for Price-Makers Under Imperfect Information
- EV-PINN: A Physics-Informed Neural Network for Predicting Electric Vehicle Dynamics
- Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning
- Learning Modality-Aware Representations: Adaptive Group-wise Interaction Network for Multimodal MRI Synthesis
- Self-Supervised Learning for Ordered Three-Dimensional Structures
- Recursive Gaussian Process State Space Model
- Exploring the Use of Machine Learning Weather Models in Data Assimilation
- Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures
- Multiverse of Greatness: Generating Story Branches with LLMs
- Brain-Computer Interfaces for Emotional Regulation in Patients with Various Disorders
- Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data
- Sparsifying Suprema of Gaussian Processes
- BrightVAE: Luminosity Enhancement in Underexposed Endoscopic Images
- Multiset Transformer: Advancing Representation Learning in Persistence Diagrams
- Comparative Analysis of Pooling Mechanisms in LLMs: A Sentiment Analysis Perspective
- Reranking partisan animosity in algorithmic social media feeds alters affective polarization
- Benchmarking Multimodal Models for Ukrainian Language Understanding Across Academic and Cultural Domains
- VQalAttent: a Transparent Speech Generation Pipeline based on Transformer-learned VQ-VAE Latent Space