yusuke1997/dblp-id-title huggingface dataset:
A Learning Framework for Bandwidth-Efficient Distributed Inference in Wireless IoT
Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for MANETs
Hamiltonian Graph Networks with ODE Integrators
Forecasting Rare Language Model Behaviors
Optimal transport weights for causal inference
What do we need to build explainable AI systems for the medical domain?
Rate-Distortion Problems of the Poisson Process based on a Group-Theoretic Approach
HYBRIDFORMER: improving SqueezeFormer with hybrid attention and NSR mechanism
Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological Networks
Extending the Shannon Upper Bound Using Spiral Modulation
VoiceStar: Robust Zero-Shot Autoregressive TTS with Duration Control and Extrapolation
GeoTeacher: Geometry-Guided Semi-Supervised 3D Object Detection
Room impulse response prototyping using receiver distance estimations for high quality room equalisation algorithms
Instance-level quantitative saliency in multiple sclerosis lesion segmentation
PrimaDNN': A Characteristics-aware DNN Customization for Singing Technique Detection
Higher-order finite element de Rham complexes, partially localized flux reconstructions, and applications
Action is the primary key: a categorical framework for episode description and logical reasoning
Spike No More: Stabilizing the Pre-training of Large Language Models
Broken-Token: Filtering Obfuscated Prompts by Counting Characters-Per-Token
Quantized control of non-Lipschitz nonlinear systems: a novel control framework with prescribed transient performance and lower design complexity
A Characterization of Maximum Nash Welfare for Indivisible Goods
Sets of autoencoders with shared latent spaces
Image Super-resolution via Feature-augmented Random Forest
Towards Reducing Manual Workload in Technology-Assisted Reviews: Estimating Ranking Performance
Multi-agent coordination for on-demand data gathering with periodic information upload
Minimizing Energy in Reliability and Deadline-Ensured Workflow Scheduling in Cloud
Unified Mandarin TTS Front-end Based on Distilled BERT Model
Learning Friction Model for Magnet-actuated Tethered Capsule Robot
Point Cloud Failure Criterion for Composites using k-Nearest Neighbor Classification
Boosting Video Object Segmentation via Space-time Correspondence Learning
fact check AI at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-checked Claim Retrieval
Blockchain-based RBAC Model with Separation of Duties constraint in Cloud Environment
Applications of Temporal Graph Metrics to Real-World Networks
CUNI systems for WMT21: Terminology translation Shared Task
Denoising Deep Neural Networks Based Voice Activity Detection
Fitness inheritance in the Bayesian optimization algorithm
Latent Poisson models for networks with heterogeneous density
Post-COVID Highlights: Challenges and Solutions of AI Techniques for Swift Identification of COVID-19
Model-Free Data-Driven Inelasticity
Dynamic SBI: Round-free Sequential Simulation-Based Inference with Adaptive Datasets
Towards Better Attribute Inference Vulnerability Measures
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review
Finding Competitive Network Architectures Within a Day Using UCT
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
Semi-Supervised Bayesian GANs with Log-Signatures for Uncertainty-Aware Credit Card Fraud Detection
It's Time to Replace TCP in the Datacenter
Prebunking Design as a Defense Mechanism Against Misinformation Propagation on Social Networks
DEMIST: Decoupled Multi-stream latent diffusion for Quantitative Myelin Map Synthesis
Enriching Biomedical Knowledge for Vietnamese Low-resource Language Through Large-Scale Translation
Swapping-Centric Neural Recording Systems
Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computing
Comparative Statics On The Allocation Of Spectrum
Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization
FasterPy: An LLM-based Code Execution Efficiency Optimization Framework
Linear Symmetric Private Information Retrieval for MDS Coded Distributed Storage with Colluding Servers
Predicting Changes in Affective States using Neural Networks
Bounds for the Clique Cover Width of Factors of the Apex Graph of the Planar Grid
Sound field reconstruction in rooms: inpainting meets superresolution
Machine Learning Pipeline for Pulsar Star Dataset
Synthesizing 3D Abstractions by Inverting Procedural Buildings with Transformers
Comparison of Dynamic Tomato Growth Models for Optimal Control in Greenhouses
Social Responsibility of Algorithms
Sparse Multipath Channel Estimation and Decoding for Broadband Vector OFDM Systems
Cooperation with an Untrusted Relay: A Secrecy Perspective
Automated Code generation for Information Technology Tasks in YAML through Large Language Models
Self-Supervised Monocular DepthEstimation with Internal Feature Fusion
From seeing to remembering: Images with harder-to-reconstruct representations leave stronger memory traces
Don't Stop Me Now: Embedding Based Scheduling for LLMs
Multispectral Image Intrinsic Decomposition via Low Rank Constraint
Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data
Scaling Automated Database System Testing
The Frontiers of Fairness in Machine Learning
ARC-AGI Without Pretraining
Proofs that Modify Proofs, 1/2
Distilling Opinions at Scale: Incremental Opinion Summarization using XL-OPSUMM
CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator
Understanding the Diffusion Objective as a Weighted Integral of ELBOs
DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation
Multi-Reference Entropy Model for Learned Image Compression
Minimum distances of binary optimal LCD codes of dimension five are completely determined
Time-domain multiscale shape identification in electro-sensing
Nonlinear Modal Decoupling of Multi-Oscillator Systems with Applications to Power Systems
Institutionalization of the payment environment of e-commerce in Russia
Exploring the Scope and Potential of Local Newspaper-based Dengue Surveillance in Bangladesh
An End-to-End Framework for Cold Question Routing in Community Question Answering Services
Cooperative Target Realization in Multi-Agent Systems Allowing Choice-Based Actions
Optimal Online Transmission Policy in Wireless Powered Networks with Urgency-aware Age of Information
PGLearn - An Open-Source Learning Toolkit for Optimal Power Flow
Adaptive Pruning for Increased Robustness and Reduced Computational Overhead in Gaussian Process Accelerated Saddle Point Searches
Proof-theoretic aspects of NL$λ$
Distributed Gaussian Learning over Time-varying Directed Graphs
A Transform Approach to Linear Network Coding for Acyclic Networks with Delay
New Environment Adaptation with Few Shots for OFDM Receiver and mmWave Beamforming
SVN-ICP: Uncertainty Estimation of ICP-based LiDAR Odometry using Stein Variational Newton
DoubleGen: Debiased Generative Modeling of Counterfactuals
Automating Thematic Analysis: How LLMs Analyse Controversial Topics
Serving Online Demands with Movable Centers
Learning Contact-aware CPG-based Locomotion in a Soft Snake Robot
Fast implicit difference schemes for time-space fractional diffusion equations with the integral fractional Laplacian
"I don't like things where I do not have control": Participants' Experience of Trustworthy Interaction with Autonomous Vehicles
A Distributed Control Framework for a Team of Unmanned Aerial Vehicles for Dynamic Wildfire Tracking
3D Landmark Detection on Human Point Clouds: A Benchmark and A Dual Cascade Point Transformer Framework
NN2Poly: A polynomial representation for deep feed-forward artificial neural networks
Towards Million-Server Network Simulations on Just a Laptop
Effort: Efficient Orthogonal Modeling for Generalizable AI-Generated Image Detection
Presburger arithmetic, rational generating functions, and quasi-polynomials
DeepNet: Scaling Transformers to 1, 000 Layers
Invariant Control Strategies for Active Flow Control using Graph Neural Networks
An EPTAS for multiprocessor scheduling with rejection under a machine cost constraint
A Holistic Approach for Equity-aware Carbon Reduction of Ridesharing Platforms
Structural Adapters in Pretrained Language Models for AMR-to-text Generation
Cellular Automata based adaptive resampling technique for the processing of remotely sensed imagery
A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications
Feeder Load Balancing using Fuzzy Logic and Combinatorial Optimization-based Implementation
AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT
Investigating the impact of BTI, HCI and time-zero variability on neuromorphic spike event generation circuits
Scattered context-free linear orderings
Deep Learning with Photonic Neural Cellular Automata
Desiderata for the Context Use of Question Answering Systems
Hydraulic Volumetric Soft Everting Vine Robot Steering Mechanism for Underwater Exploration
GAR: An efficient and scalable Graph-based Activity Regularization for semi-supervised learning
Learning-Based Patch-Wise Metal Segmentation with Consistency Check
BiomedBench: A benchmark suite of TinyML biomedical applications for low-power wearables
Solving QSAT problems with neural MCTS
From Scores to Preferences: Redefining MOS Benchmarking for Speech Quality Reward Modeling
A Generalized Typicality for Abstract Alphabets
TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN
Source and Channel Polarization over Finite Fields and Reed-Solomon Matrix
Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks
Learning Rates for Multi-task Regularization Networks
Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
Unveiling Potential Failure Propagation Scenarios in Core Transport Networks
Split Architecture for Large Scale Wide Area Networks
A high-resolution canopy height model of the Earth
Taming Server Memory TCO with Multiple Software-Defined Compressed Tiers
Learning string edit distance
A Systematic Literature Review of the Critical Factors for Success of Mobile Learning in Higher Education (University Students' Perspective)
Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty
Fundamental Principles of Linguistic Structure are Not Represented by o3
Online and Global Network Optimization: Towards the Next-Generation of Routing Platforms
Autoencoder based Hybrid Multi-Task Predictor Network for Daily Open-High-Low-Close Prices Prediction of Indian Stocks
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
DetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection
One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences
When Recall Fails, Discord Remembers: A Quantum Analogue of Kuhn's Theorem
PriSM: A Private Social Mesh for Leveraging Social Networking at Workplace
Performance Prediction in Major League Baseball by Long Short-Term Memory Networks
Face-MLLM: A Large Face Perception Model
Resilience and performance of the power grid with high penetration of renewable energy sources: the Balearic Islands as a case study
Solution of the Probabilistic Lambert Problem: Connections with Optimal Mass Transport, Schrödinger Bridge and Reaction-Diffusion PDEs
A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants
Spectral-Loc: Indoor Localization using Light Spectral Information
Improved Loss Function-Based Prediction Method of Extreme Temperatures in Greenhouses
Electric Field Propagation Through Singular Value Decomposition
Q-A3C2: Quantum Reinforcement Learning with Time-Series Dynamic Clustering for Adaptive ETF Stock Selection
Structured Context Transformer for Generic Event Boundary Detection
Gradient Assisted Learning
HoughLaneNet: Lane Detection with Deep Hough Transform and Dynamic Convolution
Defining, Understanding, and Detecting Online Toxicity: Challenges and Machine Learning Approaches
Expressions of Sentiments During Code Reviews: Male vs. Female
Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset
BCEdge: SLO-Aware DNN Inference Services with Adaptive Batching on Edge Platforms
An accurate methodology for surface tension modeling in OpenFOAM
ChartEditor: A Human-AI Paired Tool for Authoring Pictorial Charts
Direct Servo Control from In-Sensor CNN Inference with A Pixel Processor Array
Two-stage Deep Stacked Autoencoder with Shallow Learning for Network Intrusion Detection System
Rapidly Mixing Markov Chain Monte Carlo Technique for Matching Problems with Global Utility Function
Random matrix analysis of deep neural network weight matrices
Convergence Analysis of Dirichlet Energy Minimization for Spherical Conformal Parameterizations
Token Caching for Diffusion Transformer Acceleration
Returning the Favor: What Wireless Networking Can Offer to AI and Edge Learning
Band Selection and Classification
Microservice Vulnerability Analysis: A Literature Review with Empirical Insights
Weight distributions of simplex codes over finite chain rings and their Gray map images
Frobenius Numbers and Automatic Sequences
An Optimal Stack Policy for Paging with Stochastic Inputs
ODNet: A Convolutional Neural Network for Asteroid Occultation Detection
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks
LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations
A graph neural network-based multispectral-view learning model for diabetic macular ischemia detection from color fundus photographs
Opportunistic Spectrum Sharing using Dumb Basis Patterns: The Line-of-Sight Interference Scenario
TAG: Guidance-free Open-Vocabulary Semantic Segmentation
Beyond Single Bugs: Benchmarking Large Language Models for Multi-Vulnerability Detection
SLP-Net: An efficient lightweight network for segmentation of skin lesions
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation
LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models
Acceleration of Multiple Precision Matrix Multiplication using Ozaki scheme
MCMC-Interactive Variational Inference
Rethinking Monocular Depth Estimation with Adversarial Training
An Empirical Evaluation of Deep Learning on Highway Driving
Compact Modeling and Rapid Simulation of Silicon Photonic Micro-Disk and Ring Modulators
On the Performance of Metaheuristics: A Different Perspective
Probabilistic Classification by Density Estimation Using Gaussian Mixture Model and Masked Autoregressive Flow
Advances in Natural Language Question Answering: A Review
Long range teleoperation for fine manipulation tasks under time-delay network conditions
Generating Forms via Informed Motion, a Flight Inspired Method Based on Wind and Topography Data
Two simple full-text indexes based on the suffix array
A Short Introduction to MiniNLP
MeMo: Towards Language Models with Associative Memory Mechanisms
Recovering a Message from an Incomplete Set of Noisy Fragments
An Information Theoretic Study of Timing Side Channels in Two-user Schedulers
On inversion formulas and Fibonomial coefficients
The Hitchhiker's Guide to Program Analysis: A Journey with Large Language Models
Pseudo-Conversation Injection for LLM Goal Hijacking
MoE Parallel Folding: Heterogeneous Parallelism Mappings for Efficient Large-Scale MoE Model Training with Megatron Core
Love in Action: Gamifying Public Video Cameras for Fostering Social Relationships in Real World
Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery
Compressive Identification of Linear Operators
Model CBOR Serialization for Federated Learning
Towards an Emotion-Aware Metaverse: A Human-Centric Shipboard Fire Drill Simulator
Evaluating Precise Geolocation Inference Capabilities of Vision Language Models
Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages
Hybrid Model-Based and Data-Driven Wind Velocity Estimator for the Navigation System of a Robotic Airship
Freely Long-Thinking Transformer (FraiLT)
A Structure Feature Algorithm for Multi-modal Forearm Registration
A Scalable and Robust Framework for Intelligent Real-time Video Surveillance
FedQPL: A Language for Logical Query Plans over Heterogeneous Federations of RDF Data Sources (Extended Version)
The USTC-Ximalaya system for the ICASSP 2022 multi-channel multi-party meeting transcription (M2MeT) challenge
Efficient QUBO transformation for Higher Degree Pseudo Boolean Functions
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes
S 3 F-Net: A Multi-Modal Approach to Medical Image Classification via Spatial-Spectral Summarizer Fusion Network
Towards Physically Plausible Video Generation via VLM Planning
Robots-Assisted Redeployment in Wireless Sensor Networks
Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions
Moodle Usability Assessment Methodology using the Universal Design for Learning perspective
Chaotic Genetic Algorithm and The Effects of Entropy in Performance Optimization
Isometry pursuit
Analysis on LLMs Performance for Code Summarization
Optimization of gridshell bar orientation using a simplified genetic approach
Using Generative Models for Pediatric wbMRI
Leveraging AI to improve human planning in large partially observable environments
Tomlinson-Harashima Precoding with Stream Combiners for MU-MIMO with Rate-Splitting
Offline Policy Evaluation with Out-of-Sample Guarantees
Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors
An Attempt to Unraveling Token Prediction Refinement and Identifying Essential Layers of Large Language Models
Optimizing K-means for Big Data: A Comparative Study
All-Digital FPGA-based DAC with None or Few External Components
Physics-Inspired All-Pair Interaction Learning for 3D Dynamics Modeling
Interferences in match kernels
Freeway Lane Management Approach In Mixed Traffic Environment with Connected Autonomous Vehicles
Generalization and Regularization in DQN
Online Convex Optimization with Switching Cost with Only One Single Gradient Evaluation
Exogenous Data in Forecasting: FARM - A New Measure for Relevance Evaluation
On Order-independent Semantics of the Similarity Group-By Relational Database Operator
Limitations on Transversal Computation through Quantum Homomorphic Encryption
A modified bond model for describing isotropic linear elastic material behaviour with the particle method
Task Allocation for Distributed Stream Processing
Enhancing supply chain security with automated machine learning
Geodesic Calculus on Latent Spaces
On the Complexity of Minimizing Convex Finite Sums Without Using the Indices of the Individual Functions
Feasibility Assessment of a Cost-Effective Two-Wheel Kian-I Mobile Robot for Autonomous Navigation
Clinical ModernBERT: An efficient and long context encoder for biomedical text
On Delay-limited Average Rate of HARQ-based Predictor Antenna Systems
A Parametric, Second-Order Cone Representable Model of Fairness for Decision-Making Problems
Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling
On Sequential Loss Approximation for Continual Learning
AGM-Style Revision of Beliefs and Intentions from a Database Perspective (Preliminary Version)
A note on monadic datalog on unranked trees
Generative models for crystalline materials
FuturICT - The Road towards Ethical ICT
From B Specifications to log Forgrams
A rule based algorithm for detecting negative words in Persian
Embedded Emotions - A Data Driven Approach to Learn Transferable Feature Representations from Raw Speech Input for Emotion Recognition
An Exploratory Study of Argumentative Writing by Young Students: A Transformer-based Approach
Towards Fair and Calibrated Models
Towards Digital Twins for the Description of Automotive Software Systems
Static Analysis Framework for Detecting Use-After-Free Bugs in C++
La Résolvante de Lagrange et ses Applications
Local geometry of NAE-SAT solutions in the condensation regime
Analyzing Key Users' behavior trends in Volunteer-Based Networks
Leveraging Large Language Models for Career Mobility Analysis: A Study of Gender, Race, and Job Change Using U.S. Online Resume Profiles
Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation
Structure-informed Positional Encoding for Music Generation
Convergence of a series associated with the convexification method for coefficient inverse problems
One look at the rating of scientific publications and corresponding toy-model
KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning
An enhanced Teaching-Learning-Based Optimization (TLBO) with Grey Wolf Optimizer (GWO) for text feature selection and clustering
Designing Domain Specific Word Embeddings: Applications to Disease Surveillance
The distribution of second degrees in the Buckley-Osthus random graph model
Prompt Generate Train (PGT): Few-shot Domain Adaption of Retrieval Augmented Generation Models for Open Book Question-Answering
Isolation Without Taxation: Near Zero Cost Transitions for SFI
Classical and Quantum Distributed Algorithms for the Survivable Network Design Problem
Simplicial maps between spheres and Davis' manifolds with positive simplicial volume
Accelerating GenAI Workloads by Enabling RISC-V Microkernel Support in IREE
Robustness and Usefulness in AI Explanation Methods
Multi-Faceted Evaluation of Modeling Languages for Augmented Reality Applications - The Case of ARWFML
On particular solutions of linear partial differential equations with polynomial right-hand-sides
A Newer User Authentication, File encryption and Distributed Server Based Cloud Computing Security Architecture
Learning Halfspaces and Neural Networks with Random Initialization
TwitterMancer: Predicting Interactions on Twitter Accurately
Recommendation model based on opinion diffusion
Solving Robotics Problems in Zero-Shot with Vision-Language Models
Neural Lithography: Close the Design-to-Manufacturing Gap in Computational Optics with a 'Real2Sim' Learned Photolithography Simulator
Differentiable Material Point Method for the Control of Deformable Objects
Transfer Learning Approach for Railway Technical Map (RTM) Component Identification
Attention Masks Help Adversarial Attacks to Bypass Safety Detectors
Adaptive Synaptogenesis Implemented on a Nanomagnetic Platform
Dataset distillation for memorized data: Soft labels can leak held-out teacher knowledge
Impact-Aware Multi-Contact Balance Criteria
Reference-based Image and Video Super-Resolution via C2-Matching
TAMMs: Temporal-Aware Multimodal Model for Satellite Image Change Understanding and Forecasting
Practical design and performance of physical reservoir computing using hysteresis
A First Look at Contact Tracing Apps
Radiologist Copilot: An Agentic Assistant with Orchestrated Tools for Radiology Reporting with Quality Control
Efficiency in managing peer-review of scientific manuscripts - editors' perspective
A Comprehensive Survey on Surgical Digital Twin
On the Approximate Core and Nucleon of Flow Games
Citation Analysis of Computer Systems Papers
Backdoor Attack in Prompt-Based Continual Learning
RVCoreP-32IM: An effective architecture to implement mul/div instructions for five stage RISC-V soft processors
On random pairwise comparisons matrices and their geometry
A common variable minimax theorem for graphs
Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research
Partitioning Distribution Networks for Integrated Electrification Planning
Grant-free Massive Random Access with Retransmission: Receiver Optimization and Performance Analysis
Eliciting implicit assumptions of proofs in the MIZAR Mathematical Library by property omission
Automated Skin Lesion Classification Using Ensemble of Deep Neural Networks in ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection Challenge
A hybrid minimizing movement and neural network approach to Willmore flow