yusuke1997/dblp-id-title huggingface dataset:
Angle-Equivariant Convolutional Neural Networks for Interference Mitigation in Automotive Radar
Probability Estimation for Predicted-Occupancy Grids in Vehicle Safety Applications Based on Machine Learning
Knowledge Management in Medium-Sized Software Consulting Companies: An investigation of Intranet-based Knowledge Management Tools for Knowledge Cartography and Knowledge Repositories for Learning Software Organisations
Efficient Neural Radiance Fields with Learned Depth-Guided Sampling
Structure and substructure connectivity of balanced hypercubes
Validation of a new, minimally-invasive, software smartphone device to predict sleep apnea and its severity: transversal study
CeMNet: Self-supervised learning for accurate continuous ego-motion estimation
Design and Implementation of a Distributed Middleware for Parallel Execution of Legacy Enterprise Applications
Optimization of circuitry arrangements for heat exchangers using derivative-free optimization
Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect
Florenz: Scaling Laws for Systematic Generalization in Vision-Language Models
Centralization in Attester-Proposer Separation
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding
Ontohub: A semantic repository for heterogeneous ontologies
Annotation of Soft Onsets in String Ensemble Recordings
Equivariant neural networks and piecewise linear representation theory
Quasi-Self-Concordant Optimization with Lewis Weights
On the existence of certain total recursive functions in nontrivial axiom systems, I
Gene42: Long-Range Genomic Foundation Model With Dense Attention
The Role of DevOps in Enhancing Enterprise Software Delivery Success through R&D Efficiency and Source Code Management
iX-BSP: Incremental Belief Space Planning
Mode Penalty Generative Adversarial Network with adapted Auto-encoder
Extending Coinductive Logic Programming with Co-Facts
Safe Handover in Mixed-Initiative Control for Cyber-Physical Systems
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization
Free software in electronic learning future teachers of mathematics, physics and computer science
Guided and Fused: Efficient Frozen CLIP-ViT with Feature Guidance and Multi-Stage Feature Fusion for Generalizable Deepfake Detection
Deep Learning for Medical Image Processing: Overview, Challenges and Future
Deep Convolutional Ritz Method: Parametric PDE surrogates without labeled data
Spatial Reasoning and Planning for Deep Embodied Agents
From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention
Combinatorial Philosopher Inequalities
IMSuite: A Benchmark Suite for Simulating Distributed Algorithms
A quantum-classical reinforcement learning model to play Atari games
NewsTweet: A Dataset of Social Media Embedding in Online Journalism
Network and Sentiment Analysis of Enron Emails
Same but Different: Distant Supervision for Predicting and Understanding Entity Linking Difficulty
Energy Harvesting in Secure MIMO Systems
Weakly Supervised Tuberculosis Localization in Chest X-rays through Knowledge Distillation
Prompting Code Interpreter to Write Better Unit Tests on Quixbugs Functions
Teaching a Formalized Logical Calculus
Efficient End-to-end Learning of Cross-event Dependencies for Document-level Event Extraction
Sensor Integration and Performance Optimizations for Mineral Exploration using Large-scale Hybrid Multirotor UAVs
Deep MAGSAC++
Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers
On the Convergence of FedProx with Extrapolation and Inexact Prox
Improve Mathematical Reasoning in Language Models by Automated Process Supervision
Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation
The ideal data compression and automatic discovery of hidden law using neural network
Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments
Randomized Signature Layers for Signal Extraction in Time Series Data
Connecting the Dots of Knowledge in Agile Software Development
CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection
Modelling Real-Life Cycling Decisions in Real Urban Settings Through Psychophysiology and LLM-Derived Contextual Data
MC-Stereo: Multi-peak Lookup and Cascade Search Range for Stereo Matching
Multi-word Term Embeddings Improve Lexical Product Retrieval
GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy
How Malicious AI Swarms Can Threaten Democracy
Generative Diffusion From An Action Principle
A Foliated View of Transfer Learning
Fast Simulation of Probabilistic Boolean Networks (Technical Report)
The Secrets Must Not Flow: Scaling Security Verification to Large Codebases (extended version)
Nearly-optimal bounds for sparse recovery in generic norms, with applications to $k$-median sketching
Implicit Sparse Code Hashing
Non-convex approaches for low-rank tensor completion under tubal sampling
Experimental Evaluation of a Pseudo-Doppler Direction-Finding System for Localizing Radio Tags
On the Approximability of External-Influence-Driven Problems
The Marriage of Effects and Rewrites
Geometry-aware PINNs for Turbulent Flow Prediction
HCA-DBSCAN: HyperCube Accelerated Density Based Spatial Clustering for Applications with Noise
Artificial Interference Aided Physical Layer Security in Cache-enabled Heterogeneous Networks
Trochoid Search Optimization
Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization
A hierarchically blocked Jacobi SVD algorithm for single and multiple graphics processing units
PKC-PC: A Variant of the McEliece Public Key Cryptosystem based on Polar Codes
LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
TARMAC: A Taxonomy for Robot Manipulation in Chemistry
Efficient Byzantine Consensus MechanismBased on Reputation in IoT Blockchain
NLLB-E5: A Scalable Multilingual Retrieval Model
DBABP: Robust Rate Adaptation Algorithm for SVC Video Streaming
Nonuniform-Tensor-Parallelism: Mitigating GPU failure impact for Scaled-up LLM Training
Link Dimension and Exact Construction of a Graph
ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models
ShapeGlot: Learning Language for Shape Differentiation
A Storm-Centric 250 m NEXRAD Level-II Dataset for High-Resolution ML Nowcasting
AI-Driven Consensus: Modeling Multi-Agent Networks with Long-Range Interactions through path-Laplacian Matrices
Coordination with Humans via Strategy Matching
Deterministic Patterns for Multiple Access in Latency-Constrained Ultra-Reliable Communications
HyperSeed: Unsupervised Learning with Vector Symbolic Architectures
Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in Free-Living Environments
Multipole Attention for Efficient Long Context Reasoning
Message Reduction in the Local Model is a Free Lunch
Estimating the unconfined compressive strength of carbonate rocks using gene expression programming
Bosonic coding: introduction and use cases
Cancellation-free circuits: An approach for proving superlinear lower bounds for linear Boolean operators
A Cure for Pathological Behavior in Games that Use Minimax
Optimal Depth of Neural Networks
Self-adaptive congestion control for multi-class intermittent connections in a communication network
A New Efficient Numbering System : Application to Numbers Generation and Visual Markers Design
Refinement type inference via abstract interpretation
Kinematic-Based Assessment of Surgical Actions in Microanastomosis
Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs
Two-dimensional Kripke Semantics II: Stability and Completeness
Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning
Bird Vocalization Embedding Extraction Using Self-Supervised Disentangled Representation Learning
Agentless: Demystifying LLM-based Software Engineering Agents
Machine Learning for Future Wireless Communications: Channel Prediction Perspectives
NL-CS Net: Deep Learning with Non-Local Prior for Image Compressive Sensing
Optimum Design for Coexistence Between Matrix Completion Based MIMO Radars and a MIMO Communication System
A Topologist's View of Kinematic Maps and Manipulation Complexity
Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms
Reply with Sticker: New Dataset and Model for Sticker Retrieval
Federated Learning under Importance Sampling
Hierarchical Exponential Search Via K-Spines
ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI using Histogram Matching
Gradient-Based Program Repair: Fixing Bugs in Continuous Program Spaces
Worst-Case Analysis of Decoupled Policies for Multi-Location Inventory Control Problems
A survey of benchmarking frameworks for reinforcement learning
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion
Looking for grass-root sources of systemic risk: the case of "cheques-as-collateral" network
Supercharging Imbalanced Data Learning With Causal Representation Transfer
On the iterative refinement of densely connected representation levels for semantic segmentation
A U.S. Research Roadmap for Human Computation
Spectral Efficient Communications employing 1-Bit Quantization and Oversampling at the Receiver
Network Coding-based Routing and Spectrum Allocation in Elastic Optical Networks for Enhanced Physical Layer Security
HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs
Integrated trucks assignment and scheduling problem with mixed service mode docks: A Q-learning based adaptive large neighborhood search algorithm
Accelerated Sparse Bayesian Learning via Screening Test and Its Applications
A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
MotionTrack: Learning Motion Predictor for Multiple Object Tracking
A Generalised Signature Method for Time Series
Polyak's Heavy Ball Method Achieves Accelerated Local Rate of Convergence under Polyak-Lojasiewicz Inequality
Quantifying Information Leak Vulnerabilities
Criterion collapse and loss distribution control
Distortion-Aware Loop Filtering of Intra 360^o Video Coding with Equirectangular Projection
Randomized Block Coordinate Non-Monotone Gradient Method for a Class of Nonlinear Programming
A Performance Analysis Model of TCP over Multiple Heterogeneous Paths for 5G Mobile Services
AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction
Integrating Text Inputs For Training and Adapting RNN Transducer ASR Models
The repair problem for Reed-Solomon codes: Optimal repair of single and multiple erasures, asymptotically optimal node size
Compressive estimation of doubly selective channels: exploiting channel sparsity to improve spectral efficiency in multicarrier transmissions
Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Models
Active Learning for Mention Detection: A Comparison of Sentence Selection Strategies
Convergence Analysis of Weighted-Median Opinion Dynamics with Prejudice
Global behavior of temporal discretizations for Volterra integrodifferential equations with certain nonsmooth kernels
A Hybrid Surrogate for Electric Vehicle Parameter Estimation and Power Consumption via Physics-Informed Neural Operators
AG2U - Autonomous Grading Under Uncertainties
Spatial Whitening Framework for Distributed Estimation
Creating Interactive Behaviors in Early Sketch by Recording and Remixing Crowd Demonstrations
Daml: A Smart Contract Language for Securely Automating Real-World Multi-Party Business Workflows
Notions of the ergodic hierarchy for curved statistical manifolds
ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning
TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation
Enhancing End-to-End Autonomous Driving Systems Through Synchronized Human Behavior Data
Differentiable Fixed-Point Iteration Layer
Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering
Importance of Data Loading Pipeline in Training Deep Neural Networks
Knowledge Distillation in Quantum Neural Network using Approximate Synthesis
A Review of Stochastic Block Models and Extensions for Graph Clustering
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging
Impact Assessment of Cyberattacks in Inverter-Based Microgrids
A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction
Practically-Self-Stabilizing Vector Clocks in the Absence of Execution Fairness
Image denoising with multi-layer perceptrons, part 2: training trade-offs and analysis of their mechanisms
Geometry and Topology of Deep Neural Networks' Decision Boundaries
Comparative Analysis of Machine Learning and Deep Learning Models for Classifying Squamous Epithelial Cells of the Cervix
Effective certification of approximate solutions to systems of equations involving analytic functions
Statistical Approach for Predicting Factors of Mood Method for Object Oriented
Improved Canonical Dual Algorithms for the Maxcut Problem
Embedded IPC: Fast and Intersection-free Simulation in Reduced Subspace for Robot Manipulation
Temporal Early Exits for Efficient Video Object Detection
The Limits of Obliviate: Evaluating Unlearning in LLMs via Stimulus-Knowledge Entanglement-Behavior Framework
MOGAN: Morphologic-structure-aware Generative Learning from a Single Image
$2$-distance list $(Δ+2)$-coloring of planar graphs with girth at least 10
A Novel Integrated Architecture for Intent Based Approach and Zero Touch Networks
Syndromic classification of Twitter messages
A Quantum Algorithm for the Classification of Patterns of Boolean Functions
Physically Based Neural Bidirectional Reflectance Distribution Function
Conformal variational discretisation of infinite dimensional Hamiltonian systems with gradient flow dissipation
Modified Topological Image Preprocessing for Skin Lesion Classifications
The Convergence of Dynamic Routing between Capsules
Introducing a Novel Data over Voice Technique for Secure Voice Communication
Multi-Layer Content Interaction Through Quaternion Product For Visual Question Answering
Bayesian optimization in ab initio nuclear physics
A Convolutional Vision Transformer for Semantic Segmentation of Side-Scan Sonar Data
An economic perspective on major cloud computing providers
Spatially-Coupled Precoded Rateless Codes with Bounded Degree Achieve the Capacity of BEC under BP decoding
Graph Neural Network-enabled Terahertz-based Flow-guided Nanoscale Localization
Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy
Error Exponents for the Gaussian Channel with Active Noisy Feedback
T-CONV: A Convolutional Neural Network For Multi-scale Taxi Trajectory Prediction
Mathematical Derivation Graphs: A Task for Summarizing Equation Dependencies in STEM Manuscripts
On the tradeoff of average delay, average service cost, and average utility for single server queues with monotone policies
Dimensions of Timescales in Neuromorphic Computing Systems
Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering
Transformer Neural Autoregressive Flows
Spin-Torque Sensors for Energy Efficient High Speed Long Interconnects
AA-Forecast: Anomaly-Aware Forecast for Extreme Events
Effects of Depth, Width, and Initialization: A Convergence Analysis of Layer-wise Training for Deep Linear Neural Networks
Privacy Threats Against Federated Matrix Factorization
A Lost Croatian Cybernetic Machine Translation Program
Counting Stars is Constant-Degree Optimal For Detecting Any Planted Subgraph
DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio
Understanding Our People at Scale
InteL-VAEs: Adding Inductive Biases to Variational Auto-Encoders via Intermediary Latents
Statistical mechanics of error exponents for error-correcting codes
Un jeu a debattre pour sensibiliser a l'Intelligence Artificielle dans le contexte de la pandemie de COVID-19
Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition
Statistical Analysis of Sentence Structures through ASCII, Lexical Alignment and PCA
DSRRTracker: Dynamic Search Region Refinement for Attention-based Siamese Multi-Object Tracking
Quality and Cost Trade-offs in Passage Re-ranking Task
Dynamic Chain-of-Thought: Towards Adaptive Deep Reasoning
Adaptive finite element approximations for elliptic problems using regularized forcing data
Cost-Effective Online Multi-LLM Selection with Versatile Reward Models
Standard vs. Modular Sampling: Best Practices for Reliable LLM Unlearning
UniPreCIS : A data pre-processing solution for collocated services on shared IoT
Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient Amplifying
Measuring Code Efficiency Optimization Capabilities with ACEOB
Parametric Yield Analysis of Mems via Statistical Methods
Design of convergence criterion for fixed stress split iterative scheme for small strain anisotropic poroelastoplasticity coupled with single phase flow
Real-Time Face and Landmark Localization for Eyeblink Detection
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
Selection Mechanisms for Sequence Modeling using Linear State Space Models
Degrees of Freedom of Spatial Multiplexing in Distance Domain of Arbitrary Continuous-Aperture Array in Near-Field Region
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
Integrating RCTs, RWD, AI/ML and Statistics: Next-Generation Evidence Synthesis
Students' Information Privacy Concerns in Learning Analytics: Towards a Model Development
Certification of minimal approximant bases
Computational multiphase periporomechanics for unguided cracking in unsaturated porous media
Whisper-UT: A Unified Translation Framework for Speech and Text
Dynamic Power Control for Time-Critical Networking with Heterogeneous Traffic
Understanding the impact of entropy on policy optimization
Hybrid physics-based and data-driven modeling with calibrated uncertainty for lithium-ion battery degradation diagnosis and prognosis
Really Small Shoe Boxes - On Realistic Quantum Resource Estimation
IR-based Communication and Perception in Microrobotic Swarms
Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine
A Novel Orthogonal Direction Mesh Adaptive Direct Search Approach for SVM Hyperparameter Tuning
Monocular 3D Detection with Geometric Constraints Embedding and Semi-supervised Training
Virtual Cell Clustering with Optimal Resource Allocation to Maximize Capacity
Learned RESESOP for solving inverse problems with inexact forward operator
Monotone one-port circuits
DM-FNet: Unified multimodal medical image fusion via diffusion process-trained encoder-decoder
Automated Fabrication of Magnetic Soft Microrobots
NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models
Discovering Bilingual Lexicons in Polyglot Word Embeddings
Second 6G life Workshop on Post Shannon Theory
Encoder-Decoder Model for Suffix Prediction in Predictive Monitoring
What Happens Without Background? Constructing Foreground-Only Data for Fine-Grained Tasks
Quaternion-based Adaptive Backstepping Fast Terminal Sliding Mode Control for Quadrotor UAVs with Finite Time Convergence
Generative Sign-description Prompts with Multi-positive Contrastive Learning for Sign Language Recognition
Doing good vs. avoiding bad in prosocial choice: A refined test and extension of the morality preference hypothesis
When Does Learning Renormalize? Sufficient Conditions for Power Law Spectral Dynamics
Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology Images
A Review of Physics-based Machine Learning in Civil Engineering
FORGE-Tree: Diffusion-Forcing Tree Search for Long-Horizon Robot Manipulation
What Happens When: Learning Temporal Orders of Events in Videos
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity
Link prediction in complex networks: a local naïve Bayes model
Towards an Analysis of Discourse and Interactional Pragmatic Reasoning Capabilities of Large Language Models
StkTokens: Enforcing Well-bracketed Control Flow and Stack Encapsulation using Linear Capabilities - Technical Report with Proofs and Details
Simplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation
MultiQ&A: An Analysis in Measuring Robustness via Automated Crowdsourcing of Question Perturbations and Answers
A Learning-Based Visual Saliency Fusion Model for High Dynamic Range Video (LBVS-HDR)
Information theoretical clustering is hard to approximate
Sensor as a Company: On Self-Sustaining IoT Commons
BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT
Learning Variational Motion Prior for Video-based Motion Capture
Fine-Grained Controllable Apparel Showcase Image Generation via Garment-Centric Outpainting
Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning
Flow-Based Fragment Identification via Binding Site-Specific Latent Representations
Automated decision-making for dynamic task assignment at scale
Cascaded Temporal Updating Network for Efficient Video Super-Resolution
The Two-user Causal Cognitive Interference Channel: Novel Outer Bounds and Constant Gap Result for the Symmetric Gaussian Noise Channel in Weak Interference
Convergence Analysis and Parallel Computing Implementation for the Multiagent Coordination Optimization Algorithm
Feeder Topology Identification
The unreasonable effectiveness of AI CADe polyp detectors to generalize to new countries
Animatable Neural Radiance Fields from Monocular RGB-D
Optimal Legislative County Clustering in North Carolina
Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field Compression
Visitor schedule management system- an intelligent decision support system
Multilinear and Linear Programs for Partially Identifiable Queries in Quasi-Markovian Structural Causal Models
Interface Transformation from Ruling to Obedience
Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion
A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers
Integrated Planning in Hospitals: A Review
Toward Noisy One-Bit Diffraction Tomography
ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION)
Are High-Frequency Components Beneficial for Training of Generative Adversarial Networks
Communications and Networking Standards for UASs: The 3GPP Perspective and Research Drivers
Impulse-Based Hybrid Motion Control
On resistive spiking of fungi
Robust Gaussian Process Regression with a Bias Model
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
MoKD: Multi-Task Optimization for Knowledge Distillation
Prior Biological Knowledge And Epigenetic Information Enhances Prediction Accuracy Of Bayesian Wnt Pathway
Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search
Execution Semantics of Behavior Trees in Robotic Applications
INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion
Robust Reinforcement Learning under model misspecification
The Role of Time in the Creation of Knowledge
Multi-Robot Data Gathering Under Buffer Constraints and Intermittent Communication
LLMs are Superior Feedback Providers: Bootstrapping Reasoning for Lie Detection with Self-Generated Feedback
Constant conditional entropy and related hypotheses
Finding Decision Tree Splits in Streaming and Massively Parallel Models
FPCC-Net: Fast Point Cloud Clustering for Instance Segmentation
To Trust or Not to Trust: On Calibration in ML-based Resource Allocation for Wireless Networks