yusuke1997/dblp-id-title huggingface dataset:
A composition theorem for randomized query complexity via max conflict complexity
An Accelerated Directional Derivative Method for Smooth Stochastic Convex Optimization
Heterogeneous Causal Learning for Effectiveness Optimization in User Marketing
GamerAstra: Enhancing Video Game Accessibility for Blind and Low-Vision Players through a Multi-Agent AI Framework
Uniform Tests and Algorithmic Thermodynamic Entropy
Enhancing UX Research Activities Using GenAI - Potential Applications and Challenges
BiTAgent: A Task-Aware Modular Framework for Bidirectional Coupling between Multimodal Large Language Models and World Models
Verification and Synthesis Methods for High-Order Control Barrier Functions
S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution
Weight Perturbation Can Help Fairness under Distribution Shift
CRISP-NAM: Competing Risks Interpretable Survival Prediction with Neural Additive Models
Building Audio-Visual Digital Twins with Smartphones
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
scUnified: An AI-Ready Standardized Resource for Single-Cell RNA Sequencing Analysis
FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing
Towards CT-quality Ultrasound Imaging using Deep Learning
Deep Learning and Synthetic Media
A Generic Analysis Server System for Functional Logic Programs
Lanczos-like method for the time-ordered exponential
Delay-Aware Multi-Stage Edge Server Upgrade with Budget Constraint
70 years of Krylov subspace methods: The journey continues
Minimum Age of Information in Internet of Things with Opportunistic Channel Access
LMask: Learn to Solve Constrained Routing Problems with Lazy Masking
BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction
Proceedings ML Family / OCaml Users and Developers workshops, ML/OCaml 2017, Oxford, UK, 7th September 2017
A Survey on Sensor Technologies for Unmanned Ground Vehicles
Computing Semilinear Sparse Models for Approximately Eventually Periodic Signals
Uniform and Monotone Line Sum Optimization
Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning
ES Is More Than Just a Traditional Finite-Difference Approximator
Consistent and fault-tolerant SDN with unmodified switches
Applying Deutsch's concept of good explanations to artificial intelligence and neuroscience - an initial exploration
Task-specific Objectives of Pre-trained Language Models for Dialogue Adaptation
DepthFocus: Controllable Depth Estimation for See-Through Scenes
Surprise machines: revealing Harvard Art Museums' image collection
Wide Gaps and Clustering Axioms
Multi-Objective Optimization of Electric Vehicle Charging Schedule with Time of Use Tariff
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning
Destination-to-Chutes Task Mapping Optimization for Multi-Robot Coordination in Robotic Sorting Systems
NeuroStrata: Harnessing Neurosymbolic Paradigms for Improved Design, Testability, and Verifiability of Autonomous CPS
Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss
Optimal Low-Depth Quantum Signal-Processing Phase Estimation
Visual Selective Attention System to Intervene User Attention in Sharing COVID-19 Misinformation
Improving Auto-Encoders' self-supervised image classification using pseudo-labelling via data augmentation and the perceptual loss
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
Multi-agent Searching System for Medical Information
Control design and analysis of a stochastic network control system
Bayesian Modeling of Language-Evoked Event-Related Potentials
On Chord and Sagitta in Z 2 : An Analysis towards Fast and Robust Circular Arc Detection
Evolving Military Broadband Wireless Communication Systems: WiMAX, LTE and WLAN
Beyond Model Adaptation at Test Time: A Survey
Beyond the Pre-Service Horizon: Infusing In-Service Behavior for Improved Financial Risk Forecasting
Impressions: Understanding Visual Semiotics and Aesthetic Impact
Deep Graph-Level Orthogonal Hypersphere Compression for Anomaly Detection
FPT: Fine-grained Prompt Tuning for Parameter and Memory Efficient Fine Tuning in High-resolution Medical Image Classification
Rethinking Adjacent Dependency in Session-based Recommendations
Explaining Patterns in Data with Language Models via Interpretable Autoprompting
On low treewidth graphs and supertrees
Parallel Implementation of Efficient Search Schemes for the Inference of Cancer Progression Models
Progressive Decoding for Data Availability and Reliability in Distributed Networked Storage
The EcoLexicon English Corpus as an open corpus in Sketch Engine
Hardness of approximation for quantum problems
Learning Preconditioner for Conjugate Gradient PDE Solvers
Prediction of Breast Cancer Recurrence Risk Using a Multi-Model Approach Integrating Whole Slide Imaging and Clinicopathologic Features
An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3
Face-PAST: Facial Pose Awareness and Style Transfer Networks
Security Threats Analysis in Bluetooth-Enabled Mobile Devices
A KIF Formalization for the IFF Category Theory Ontology
A Security Protocol for Multi-User Authentication
Investigating Recurrence and Eligibility Traces in Deep Q-Networks
SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization
Tensor Decompositions: A New Concept in Brain Data Analysis?
Multichannel audio signal source separation based on an Interchannel Loudness Vector Sum
A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares
DQC 2 O: Distributed Quantum Computing for Collaborative Optimization in Future Networks
Context-theoretic Semantics for Natural Language: an Algebraic Framework
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuning
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning
Consistent Map-based 3D Localization on Mobile Devices
30 Years of Software Refactoring Research: A Systematic Literature Review
CAVL: Learning Contrastive and Adaptive Representations of Vision and Language
Privacy-preserving Blockchain-enabled Parametric Insurance via Remote Sensing and IoT
Towards a Characterization of Explainable Systems
Deep Metric Learning for Few-Shot Image Classification: A Selective Review
FlexCache: Flexible Approximate Cache System for Video Diffusion
When LRP Diverges from Leave-One-Out in Transformers
Investigating Critical Risk Factors in Liver Cancer Prediction
A qualitative difference between gradient flows of convex functions in finite- and infinite-dimensional Hilbert spaces
HVACKer: Bridging the Air-Gap by Attacking the Air Conditioning System
Image Retrieval And Classification Using Local Feature Vectors
ChemVTS-Bench: Evaluating Visual-Textual-Symbolic Reasoning of Multimodal Large Language Models in Chemistry
LLM-assisted Mutation for Whitebox API Testing
Where to look first? Behaviour control for fetch-and-carry missions of service robots
The Emergence of Hardware Fuzzing: A Critical Review of its Significance
Unsupervised Wildfire Change Detection based on Contrastive Learning
System level specification and verification using Concurrent State Machines and COSMA environment
Empirica: a virtual lab for high-throughput macro-level experiments
Classifying sequences by combining context-free grammars and OWL ontologies
DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation
Enabling High-Frequency Cross-Modality Visual Positioning Service for Accurate Drone Landing
User Characteristics of Olympic Gold Medallists on Instagram: A Quantitative Analysis of Rio2016
NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real Object
Information Entropy Initialized Concrete Autoencoder for Optimal Sensor Placement and Reconstruction of Geophysical Fields
Bi-directional Digital Twin and Edge Computing in the Metaverse
A Bi-fidelity Ensemble Kalman Method for PDE-Constrained Inverse Problems
Joint Sum Rate and Blocklength Optimization in RIS-aided Short Packet URLLC Systems
A Greedy Quantum Route-Generation Algorithm
GoalGrasp: Grasping Goals in Partially Occluded Scenarios without Grasp Training
A Study about Distribution and Acceptance of Conversational Agents for Mental Health in Germany: Keep the Human in the Loop?
Automated Spatio-Temporal Weather Modeling for Load Forecasting
Finding the Answers with Definition Models
Incorporating Feedback into Tree-based Anomaly Detection
Flaky Performances when Pretraining on Relational Databases
Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training
Smart Placement, Faster Robots - A Comparison of Algorithms for Robot Base-Pose Optimization
Trends in Frontier AI Model Count: A Forecast to 2028
syren-baryon: Analytic emulators for the impact of baryons on the matter power spectrum
Infinite square-free self-shuffling words
Cross Tensor Approximation for Image and Video Completion
Unique Sharp Local Minimum in $\ell_1$-minimization Complete Dictionary Learning
Empowering Morphing Attack Detection using Interpretable Image-Text Foundation Model
QSimPy: A Learning-centric Simulation Framework for Quantum Cloud Resource Management
On Robot Acceptance and Trust: A Review and Unanswered Questions
OneClock to Rule Them All: Using Time in Networked Applications
ConaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval
Variable-sized input, character-level recurrent neural networks in lead generation: predicting close rates from raw user inputs
A Data-Driven Memory-Dependent Modeling Framework for Anomalous Rheology: Application to Urinary Bladder Tissue
Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models
Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark
A variational analysis for the moving finite element method for gradient flows
Positional Attention-based Frame Identification with BERT: A Deep Learning Approach to Target Disambiguation and Semantic Frame Selection
Formal that "Floats" High: Formal Verification of Floating Point Arithmetic
A Note on Rules Achieving Optimal Metric Distortion
Numerical Differentiation using local Chebyshev-Approximation
SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening
ELEGANT: Certified Defense on the Fairness of Graph Neural Networks
Increasing the Task Flexibility of Heavy-Duty Manipulators Using Visual 6D Pose Estimation of Objects
Learning with Wasserstein barycenters and applications
Benchmarking optimality of time series classification methods in distinguishing diffusions
Flashlight Search Medial Axis: A Pixel-Free Pore-Network Extraction Algorithm
Total Variation Distance for Product Distributions is #P-Complete
Symbol Guided Hindsight Priors for Reward Learning from Human Preferences
De-anonymization of authors through arXiv submissions during double-blind review
UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models
Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition
Output Filter Aware Optimization of the Noise Shaping Properties of ΔΣ Modulators via Semi-Definite Programming
The Golden Circle: Creating Socio-technical Alignment in Content Moderation
Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning
Quantum Key Distribution Based On Generating More Than One Secret Bit Per Shared EPR Pair
Deep Optimization for Spectrum Repacking
Any-Order Flexible Length Masked Diffusion
Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning
Divide and Conquer: Grounding a Bleeding Areas in Gastrointestinal Image with Two-Stage Model
MomentsNet: a simple learning-free method for binary image recognition
The impact of supply-chain networks on interactions between the anti-COVID-19 lockdowns in different regions
Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations
Learning Decentralized Swarms Using Rotation Equivariant Graph Neural Networks
Probe Scheduling for Efficient Detection of Silent Failures
Matching Pursuits with Random Sequential Subdictionaries
SEQR: Secure and Efficient QR-based LoRA Routing
Transformer-Patcher: One Mistake worth One Neuron
Ten Years after ImageNet: A 360° Perspective on AI
zoNNscan : a boundary-entropy index for zone inspection of neural models
Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding
Computational Modelling for Combinatorial Game Strategies
Fast sequential forensic camera identification
A Generative Approach for Script Event Prediction via Contrastive Fine-tuning
Deep NRSfM++: Towards 3D Reconstruction in the Wild
Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image Analysis
SPUR: A Plug-and-Play Framework for Integrating Spatial Audio Understanding and Reasoning into Large Audio-Language Models
Reducing overheads of dynamic scheduling on heterogeneous chips
Truthful Mechanisms for Delivery with Mobile Agents
Simulation-based reinforcement learning for real-world autonomous driving
Proper circular arc graphs as intersection graphs of paths on a grid
Generalized Linear Tree Space Nearest Neighbor
PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction
Targeted Attacks on Deep Reinforcement Learning Agents through Adversarial Observations
Video Event Recognition for Surveillance Applications (VERSA)
UHRNet: A Deep Learning-Based Method for Accurate 3D Reconstruction from a Single Fringe-Pattern
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Mapping the Digital Diplomatic Infrastructure: A Comparative Evaluation of Global Online Directories for Diplomatic Missions
On the independent subsets of powers of paths and cycles
Topology-Preserving Adversarial Training
Machine Learning for Dental Image Analysis
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders
UnityGraph: Unified Learning of Spatio-temporal features for Multi-person Motion Prediction
Joint Detection/Decoding Algorithms for Nonbinary LDPC Codes over ISI Channels
Fast Greedy Approaches for Compressive Sensing of Large-Scale Signals
SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents
Unveiling Large Language Models Generated Texts: A Multi-Level Fine-Grained Detection Framework
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Data Manifolds
MultiMix: A Robust Data Augmentation Strategy for Cross-Lingual NLP
IN2OUT: Fine-Tuning Video Inpainting Model for Video Outpainting Using Hierarchical Discriminator
A fast approximate skeleton with guarantees for any cloud of points in a Euclidean space
Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions
Long-term IaaS Provider Selection using Short-term Trial Experience
Differentially Processed Optimized Collaborative Rich Text Editor
EdgeShield: A Universal and Efficient Edge Computing Framework for Robust AI
PD-Skygroundhook Controller for Semi-Active Suspension System Using Magnetorheological Fluid Dampers
Agent Journey Beyond RGB: Unveiling Hybrid Semantic-Spatial Environmental Representations for Vision-and-Language Navigation
Seeing Through the Fog: Empowering Mobile Devices to Expose and Mitigate RAN Buffer Effects on Delay-Sensitive Protocols
Cyberbullying Detection - Technical Report 2/2018, Department of Computer Science AGH, University of Science and Technology
Universal First-Order Logic is Superfluous for NL, P, NP and coNP
Learn-able parameter guided Activation Functions
In almost all shallow analytic neural network optimization landscapes, efficient minimizers have strongly convex neighborhoods
Control as Hybrid Inference
OWLViz: An Open-World Benchmark for Visual Question Answering
Music to Dance as Language Translation using Sequence Models
Exploring the Space of Adversarial Images
Incentives to Offer Algorithmic Recourse
Taint Tracking for WebAssembly
Magic: the Gathering is as Hard as Arithmetic
One-Step Diffusion Samplers via Self-Distillation and Deterministic Flow
The Complexity of Subdivision for Diameter-Distance Tests
Curvature-based Transformer for Molecular Property Prediction
Causal Diffusion Transformers for Generative Modeling
SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning
A survey of automatic de-identification of longitudinal clinical narratives
Text Steganography using LSB insertion method along with Chaos Theory
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction
Federated Multi-Objective Learning with Controlled Pareto Frontiers
Hebrew letters Detection and Cuneiform tablets Classification by using the yolov8 computer vision model
LLMic: Romanian Foundation Language Model
Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate
The Trace Criterion for Kernel Bandwidth Selection for Support Vector Data Description
Online Learning with Radial Basis Function Networks
Capacity of the Trapdoor Channel with Feedback
InfiniHuman: Infinite 3D Human Creation with Precise Control
Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code
ISR: Invertible Symbolic Regression
Supervised Multiple Kernel Learning approaches for multi-omics data integration
Quantum Cryptography Using Various Reversible Quantum Logic Gates in WSNs
Human-in-the-loop Optimisation in Robot-assisted Gait Training
Can Author Collaboration Reveal Impact? The Case of h-index
Inapproximability of counting hypergraph colourings
Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning
MMReID-Bench: Unleashing the Power of MLLMs for Effective and Versatile Person Re-identification
Quantum Radon Transform and Its Application
Implicit LOD for processing, visualisation and classification in Point Cloud Servers
Human Activity Recognition using Recurrent Neural Networks
Concept-based Explainable Artificial Intelligence: A Survey
Moment Generating Function of the AoI in Multi-Source Systems With Packet Management
AISysRev - LLM-based Tool for Title-abstract Screening
Lock-Free Computation of PageRank in Dynamic Graphs
A statistical framework for weak-to-strong generalization
Spatial Alignment of Coding and Modulation Helps Content Delivery
3D Finite Element Analysis of HMA Overlay Mix Design to Control Reflective Cracking
Performance comparison of various routing protocols in different mobility models
On-line Indexing for General Alphabets via Predecessor Queries on Subsets of an Ordered List
Machine Learning-Based Prediction of Quality Shifts on Video Streaming Over 5G
An Example Safety Case for Safeguards Against Misuse
Agent-Centric Personalized Multiple Clustering with Multi-Modal LLMs
10-millisecond Computing
Robust Bayesian Optimisation with Unbounded Corruptions
A 3D model-based approach for fitting masks to faces in the wild
HYDRA: Competing convolutional kernels for fast and accurate time series classification
Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data
Asymptotic Scaling Laws of Wireless Adhoc Network with Physical Layer Caching
Sampling from Your Language Model One Byte at a Time
Surgical task expertise detected by a self-organizing neural network map
Randomized Online CP Decomposition
Building Robust Industrial Applicable Object Detection Models Using Transfer Learning and Single Pass Deep Learning Architectures
Synchronizing automata with random inputs
Green Runner: A tool for efficient deep learning component selection
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction
Attentive Rotation Invariant Convolution for Point Cloud-based Large Scale Place Recognition
Symbol-Error Probability Constrained Power Minimization for Reconfigurable Intelligent Surfaces-based Passive Transmitter
AdapterShadow: Adapting Segment Anything Model for Shadow Detection
Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression
Analyzing the inter-domain vs intra-domain knowledge flows
Background Matting
Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance?
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
Postprocessing for Iterative Differentially Private Algorithms
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments
Differentiable Duration Modeling for End-to-End Text-to-Speech
M Equilibrium: A dual theory of beliefs and choices in games
Structured Channel Covariance Estimation from Limited Samples for Large Antenna Arrays
Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media
Training Robust Tree Ensembles for Security
Sparse Portfolio Selection via Topological Data Analysis based Clustering
Fast-Powerformer: A Memory-Efficient Transformer for Accurate Mid-Term Wind Power Forecasting
It Takes Two to Tango: Two Parallel Samplers Improve Quality in Diffusion Models for Limited Steps
Multiuser Millimeter Wave Beamforming Strategies with Quantized and Statistical CSIT
RecoMed: A Knowledge-Aware Recommender System for Hypertension Medications
Fast Adaptive S-ALOHA Scheme for Event-driven Machine-to-Machine Communications
Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data
Learning to solve Minimum Cost Multicuts efficiently using Edge-Weighted Graph Convolutional Neural Networks
InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity
Data Markets to support AI for All: Pricing, Valuation and Governance
Improving text-conditioned latent diffusion for cancer pathology
CISE3: Verificação de aplicações com consistência fraca em Why3
Enhancing Prompt Following with Visual Control Through Training-Free Mask-Guided Diffusion
On the Limitation of MagNet Defense against L 1 -based Adversarial Examples
LocalEyenet: Deep Attention framework for Localization of Eyes
Game Semantics and Linear Logic in the Cognition Process
Minimum-norm Sparse Perturbations for Opacity in Linear Systems
The Hermite-Taylor Correction Function Method for Embedded Boundary and Maxwell's Interface Problems
Polynomial Approximation of Symmetric Functions
Identification of Shallow Neural Networks by Fewest Samples
A Quantitative Exploration of Natural Language Processing Applications for Electricity Demand Analysis
On the Structure of Real-Time Encoders and Decoders in a Multi-Terminal Communication System
dInfer: An Efficient Inference Framework for Diffusion Language Models
Improving Phase Change Memory Performance with Data Content Aware Access
FloAt: Flow Warping of Self-Attention for Clothing Animation Generation
A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-By-Humming Task
FuXi-Nowcast: Meet the longstanding challenge of convective initiation in nowcasting
Shallow neural network representation of polynomials
Optimum Monitoring of Heterogeneous Continuous Time Markov Chains
Accurate Leakage Speculation for Quantum Error Correction
An introduction to domain adaptation and transfer learning
Half-Duplex Base Station with Adaptive Scheduling of the in-Band Uplink-Receptions and Downlink-Transmissions
Cooperating with Machines
SSTM: Spatiotemporal Recurrent Transformers for Multi-frame Optical Flow Estimation
A Survey of Multimodal Large Language Model from A Data-centric Perspective
cIDIR: Conditioned Implicit Neural Representation for Regularized Deformable Image Registration
On A Generalization of "Eight Blocks to Madness"
Hardware Design and Security Needs Attention: From Survey to Path Forward
Reconstruction of surfaces with ordinary singularities from their silhouettes
A Large Scale Study of AI-based Binary Function Similarity Detection Techniques for Security Researchers and Practitioners
Distraction is All You Need for Fairness