yusuke1997/dblp-id-title huggingface dataset:
ULGss: A Strategy to construct a Library of Universal Logic Gates for N-variable Boolean Logic beyond NAND and NOR
Wireless Sensor Networks based on TSCH/TDMA with Power Consumption and Latency Constraints
MixReasoning: Switching Modes to Think
Active learning for affinity prediction of antibodies
Explicit equivalence of quadratic forms over $\mathbb{F}_q(t)$
Task Assignment in Distributed Systems based on PSO Approach
Optimal Energy Management Strategies in Wireless Data and Energy Cooperative Communications
A Quadratic Programming Approach to Flight Envelope Protection Using Control Barrier Functions
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing
Nowhere to Go: Benchmarking Multi-robot Collaboration in Target Trapping Environment
Time-Shared Execution of Realtime Streaming Pipelines by Dynamic Partial Reconfiguration
EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code
NP Reasoning in the Monotone $μ$-Calculus
Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats
What is Visualization for Communication? Analyzing Four Years of VisComm Papers
Layer-wise Fast Adaptation for End-to-End Multi-Accent Speech Recognition
Faster and More Accurate Sequence Alignment with SNAP
AmpAgent: An LLM-based Multi-Agent System for Multi-stage Amplifier Schematic Design from Literature for Process and Performance Porting
Finding Efficient Domination for P 8 -Free Bipartite Graphs in Polynomial Time
We're Still Doing It (All) Wrong: Recommender Systems, Fifteen Years Later
Renewal Monte Carlo: Renewal theory based reinforcement learning
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation
Measuring the Intrinsic Dimension of Earth Representations
TabR1: Taming GRPO for tabular reasoning LLMs
Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets
Online Learning in a Creator Economy
Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series
A Well-Founded Semantics for FOL-Programs
The Choice of Knowledge Base in Automated Claim Checking
Abstract Graph Machines
Are We Falling in a Middle-Intelligence Trap? An Analysis and Mitigation of the Reversal Curse
Chiplet Actuary: A Quantitative Cost Model and Multi-Chiplet Architecture Exploration
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems
Fighting Disaster Misinformation in Latin America: The #19S Mexican Earthquake Case Study
Modeling Biological Multifunctionality with Echo State Networks
Spatial Multiplexing in Near Field MIMO Channels with Reconfigurable Intelligent Surfaces
The Projection Method: a Unified Formalism for Community Detection
Outage-Aware Sum Rate Maximization in Movable Antennas-Enabled Systems
Target Driven Visual Navigation with Hybrid Asynchronous Universal Successor Representations
Two-stage Planning for Electricity-Gas Coupled Integrated Energy System with CCUS Considering Carbon Tax and Price Uncertainty
Robust Analysis of Auction Equilibria
Balancing Confidentiality and Transparency for Blockchain-based Process-Aware Information Systems
Fine-tuning Large Language Model for Automated Algorithm Design
Adaptive Focus Memory for Language Models
Delay-Aware Diffusion Policy: Bridging the Observation-Execution Gap in Dynamic Tasks
The Random Access Zipper: Simple, Purely-Functional Sequences
The enhanced derived-vector-space approach to domain decomposition methods
Online coalitional games for real-time payoff distribution with applications to energy markets
What is Harm? Baby Don't Hurt Me! On the Impossibility of Complete Harm Specification in AI Alignment
Enhancing Otological Surgery: Co-Designing a Parallel Robot with Surgeon Input
A Simplest Undecidable Modal Logic
Hierarchy of Groups Evaluation Using Different F-score Variants
Using Convolutional Neural Networks for Denoising and Deblending of Marine Seismic Data
MANTRA: a Framework for Multi-stage Adaptive Noise TReAtment During Training
Simultaneous Information and Energy Transmission with Short Packets and Finite Constellations
Zipfian environments for Reinforcement Learning
Advancing Technology for Humanity and Earth (+Water+Air)
Codes for Partially Stuck-at Memory Cells
CVE-LLM : Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models
On Strong Secrecy for Multiple Access Channel with States and Causal CSI
Controlling High-Dimensional Data With Sparse Input
Deceiving Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Healthcare Cost Prediction: Leveraging Fine-grain Temporal Patterns
Open Call-by-Value (Extended Version)
Token sliding on graphs of girth five
Terrain Recognition and Contact Force Estimation through a Sensorized Paw for Legged Robots
Orcust: Stepwise-Feedback Reinforcement Learning for GUI Agent
LQG Graphon Mean Field Games
3D Vertebrae Measurements: Assessing Vertebral Dimensions in Human Spine Mesh Models Using Local Anatomical Vertebral Axes
Strategizing against Q-learners: A Control-theoretical Approach
Simulation as Reality? The Effectiveness of LLM-Generated Data in Open-ended Question Assessment
Iterative Motion Planning in Multi-agent Systems with Opportunistic Communication under Disturbance
Low-Bitrate Video Compression through Semantic-Conditioned Diffusion
Saturation in Snapshot Compressive Imaging
Flow Symmetrization for Parameterized Constrained Diffeomorphisms
Desiderata for Vector-Space Word Representations
REOrdering Patches Improves Vision Models
Future-Proof Yourself: An AI Era Survival Guide
Fairwashing Explanations with Off-Manifold Detergent
Musical NeuroPicks: a consumer-grade BCI for on-demand music streaming services
ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning
High-Order Optimization of Gradient Boosted Decision Trees
Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction
BHN: A Brain-like Heterogeneous Network
Measuring and Modifying the Readability of English Texts with GPT-4
Ranked Enumeration of Minimal Separators
Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing
Towards Fairness of Cryptocurrency Payments
Conformal Prediction and Human Decision Making
Generalization of Task Parameterized Dynamical Systems using Gaussian Process Transportation
GLIN: A Lightweight Learned Indexing Mechanism for Complex Geometries
A Hybrid Genetic Algorithm for the min-max Multiple Traveling Salesman Problem
ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation
The Implementation of the Colored Abstract Simplicial Complex and its Application to Mesh Generation
Probing the "Psyche" of Large Reasoning Models: Understanding Through a Human Lens
DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting
Analyzing Negative User Behavior in a Semi-anonymous Social Network
A Survey on Heterogeneous Computing Using SmartNICs and Emerging Data Processing Units (Expanded Preprint)
Application of deep learning approaches for medieval historical documents transcription
Goals are Enough: Inducing AdHoc cooperation among unseen Multi-Agent systems in IMFs
Cayley automatic representations of wreath products
A digital eye-fixation biomarker using a deep anomaly scheme to classify Parkisonian patterns
AAD: Adaptive Anomaly Detection through traffic surveillance videos
Computational-Statistical Tradeoffs from NP-hardness
Improving Reverberant Speech Separation with Multi-stage Training and Curriculum Learning
Low-Altitude UAV-Carried Movable Antenna for Joint Wireless Power Transfer and Covert Communications
Evacuation Problem Under the Nuclear Leakage Accident
Integrated Model and Data Parallelism in Training Neural Networks
M 3 Builder: A Multi-Agent System for Automated Machine Learning in Medical Imaging
D4M 2.0 Schema: A General Purpose High Performance Schema for the Accumulo Database
Few-Shot Segmentation with Global and Local Contrastive Learning
Data Subsampling for Bayesian Neural Networks
Monte Carlo Sort for unreliable human comparisons
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact
A Case Study on Formal Verification of Self-Adaptive Behaviors in a Decentralized System
Automatic Speech Recognition for Biomedical Data in Bengali Language
Copula-based generation of degree-associated networks
Self-supervised Graph Representation Learning via Bootstrapping
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models
GNSS-based positioning: Attacks and Countermeasures
Simulation model of spacetime with the Minkowski metric
Decentralized multi-agent reinforcement learning with shared actions
Safe Hierarchical Reinforcement Learning for CubeSat Task Scheduling Based on Energy Consumption
Design of Distributed Voting Systems
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image
A Multi-Stage Stochastic Programming Approach to Epidemic Resource Allocation with Equity Considerations
Analysing software failure using runtime verification and LTL
Distributed multi-agent Gaussian regression via Karhunen-Loève expansions
STC: Coarse-Grained Vehicular Data Based Travel Speed Sensing by Leveraging Spatial-Temporal Correlation
Bangla Text Classification using Transformers
Stochastic Parareal Algorithm for Stochastic Differential Equations
Peeling Algorithm on Random Hypergraphs with Superlinear Number of Hyperedges
Recursive Distributed Detection for Composite Hypothesis Testing: Algorithms and Asymptotics
Extremely large scale simulation of a Kardar-Parisi-Zhang model using graphics cards
A Non-Expert's Introduction to Data Ethics for Mathematicians
Right-to-left online construction of parameterized position heaps
Towards Hyper-Efficient RAG Systems in VecDBs: Distributed Parallel Multi-Resolution Vector Search
Semidefinite Relaxation-Based Optimization of Multiple-Input Wireless Power Transfer Systems
Quantum Deletion Codes derived from Classical Deletion Codes (Extended Abstract)
Adaptive joint distribution learning
Schema-agnostic Progressive Entity Resolution (extended version)
Learning Sparse Neural Networks via Sensitivity-Driven Regularization
Thresholds for epidemic spreading in networks
Data-Driven Update of B(H) Curves of Iron Yokes in Normal Conducting Accelerator Magnets
Graph-based SLAM-Aware Exploration with Prior Topo-Metric Information
Towards Automatic Bayesian Optimization: A first step involving acquisition functions
Gradient descent avoids strict saddles with a simple line-search method too
Efficient pedestrian detection by directly optimize the partial area under the ROC curve
Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning
Unsupervised Ensemble Regression
DVGT: Driving Visual Geometry Transformer
d X -Privacy for Text and the Curse of Dimensionality
Computational Tradeoffs in Image Synthesis: Diffusion, Masked-Token, and Next-Token Prediction
Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks
Development of a Power Quality Based Digital Energy Meter Educational Platform
Hypernetwork approach to Bayesian MAML
Advanced OOP and new syntax patterns for Javascript
Fokker-Planck particle systems for Bayesian inference: Computational approaches
A systematic review of Python packages for time series analysis
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
Graph-Based Deep Learning for Component Segmentation of Maize Plants
Testing GPT-4 with Wolfram Alpha and Code Interpreter plug-ins on math and science problems
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models
Rapid Deforestation and Burned Area Detection using Deep Multimodal Learning on Satellite Imagery
SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus
The dagger lambda calculus
CAT: Cellular Automata on Tensor cores
Towards the Patterns of Hard CSPs with Association Rule Mining
Robust Max-Min Fair Beamforming Design for Rate Splitting Multiple Access-aided Visible Light Communications
Analysing the Degree of Meshing in Medium Voltage Target Grids - An Automated Technical and Economical Impact Assessment
Discriminative Learning for Probabilistic Context-Free Grammars based on Generalized H-Criterion
Label Dependencies-aware Set Prediction Networks for Multi-label Text Classification
Low-Communication Resilient Distributed Estimation Algorithm Based on Memory Mechanism
On the Monotonicity of the Generalized Marcum and Nuttall Q-Functions
Parametric Primitive Analysis of CAD Sketches with Vision Transformer
From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation
Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
Multiplicative noise and heavy tails in stochastic optimization
The maximum time of 2-neighbor bootstrap percolation: complexity results
AdamNX: An Adam improvement algorithm based on a novel exponential decay mechanism for the second-order moment estimate
Diagnosing and Mitigating System Bias in Self-Rewarding RL
A New Computational Approach for Solving Linear Bilevel Programs Based on Parameter-Free Disjunctive Decomposition
Heuristics for Packing Semifluids
Service Level Agreement (SLA) in Utility Computing Systems
Perspectives on the State and Future of Deep Learning - 2023
Painted Heart Beats
Fine-Grained Uncertainty Quantification via Collisions
Self-Adaptive Swarm System (SASS)
Cooperation on the monte carlo rule Prison's dilemma game on the grid
Evaluating Eye Movement Biometrics in Virtual Reality: A Comparative Analysis of VR Headset and High-End Eye-Tracker Collected Dataset
Random numbers for large scale distributed Monte Carlo simulations
DrumGAN: Synthesis of Drum Sounds With Timbral Feature Conditioning Using Generative Adversarial Networks
Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis
Presence of an Ecosystem: An Answer to "Why is Whole Greater than the Sum of its Parts" in the Knowledge Building Process
Model reduction of cavity nonlinear optics for photonic logic: A quasi-principal components approach
Description of algorithms for Ben-Gurion University Submission to the LOCATA challenge
A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions
A $\widetilde{O}(n)$ Non-Adaptive Tester for Unateness
UMind-VL: A Generalist Ultrasound Vision-Language Model for Unified Grounded Perception and Comprehensive Interpretation
Architecture for a Trustworthy Quantum Chatbot
DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling
On Empirical Entropy
Affine Transformation Edited and Refined Deep Neural Network for Quantitative Susceptibility Mapping
Benchmarking 6D Object Pose Estimation for Robotics
Distributed Colour Reduction Revisited
Measuring the Mental Health of Content Reviewers, a Systematic Review
Mécanismes de Transmission Multipoint pour Réseaux Locaux Sans Fil IEEE 802.11
Evaluating Learning Congestion control Schemes for LEO Constellations
Random Search Neural Networks for Efficient and Expressive Graph Learning
Improving HRI through robot architecture transparency
Semantically Corrected Amharic Automatic Speech Recognition
Bayesian Properties of Normalized Maximum Likelihood and its Fast Computation
Readability Reconsidered: A Cross-Dataset Analysis of Reference-Free Metrics
NPBDREG: A Non-parametric Bayesian Deep-Learning Based Approach for Diffeomorphic Brain MRI Registration
Enforcing temporal consistency in Deep Learning segmentation of brain MR images
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
MIMIC-IV-Ext-PE: Using a large language model to predict pulmonary embolism phenotype in the MIMIC-IV dataset
Large Angle based Skeleton Extraction for 3D Animation
Deep Cross-modal Proxy Hashing
Local community detection by seed expansion: from conductance to weighted kernel 1-mean optimization
Influence of Facebook in Academic Performance of Sri Lankan University Students
Control Reconfiguration of Dynamical Systems for Improved Performance via Reverse-engineering and Forward-engineering
Incorporating Ephemeral Traffic Waves in A Data-Driven Framework for Microsimulation in CARLA
Using Sequential Statistical Tests to Improve the Performance of Random Search in hyperparameter Tuning
Seed Kernel Counting using Domain Randomization and Object Tracking Neural Networks
Generating Human-AI Collaborative Design Sequence for 3D Assets via Differentiable Operation Graph
A New Approach to Lossy Network Compression of a Tuple of Correlated Multivariate Gaussian RVs
Boosting Reasoning in Large Multimodal Models via Activation Replay
An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Machine Learning
Joint Source and Relay Design for Multi-user MIMO Non-regenerative Relay Networks with Direct Links
Towards a Framework for Deep Learning Certification in Safety-Critical Applications Using Inherently Safe Design and Run-Time Error Detection
How Can Large Language Models Help Humans in Design and Manufacturing?
Enhancing Cognitive Diagnosis using Un-interacted Exercises: A Collaboration-aware Mixed Sampling Approach
Unravelling Organisational Rule Systems in Requirements Engineering
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
A Nonlinear Controller for Parallel DC-DC Converters with ZIP Load and Constrained Output Voltage
Et tu, Blockchain? Outsmarting Smart Contracts via Social Engineering
Exploring Adversarial Robustness of Deep Metric Learning
Benefits and Limitations of Web3
Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library
Parameter Estimation for the Single-Look G 0 Distribution
Multimodal Few-Shot Object Detection with Meta-Learning Based Cross-Modal Prompting
Greedy Step Averaging: A parameter-free stochastic optimization method
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
Corpus-informed Retrieval Augmented Generation of Clarifying Questions
Evaluating the Role of Target Arguments in Rumour Stance Classification
Dual-Teacher De-biasing Distillation Framework for Multi-domain Fake News Detection
Validating Static Warnings via Testing Code Fragments
Interpolative Decoding: Exploring the Spectrum of Personality Traits in LLMs
Submodular Maximization Approaches for Equitable Client Selection in Federated Learning
Designing Feature Vector Representations: A case study from Chemistry
Fuzzy-NMS: Improving 3D Object Detection with Fuzzy Classification in NMS
Reconfigurable Airspace: Synergizing Movable Antenna and Intelligent Surface for Low-Altitude ISAC Networks
Quantization for Vector Search under Streaming Updates
Exploring the Evolution of Physics Cognition in Video Generation: A Survey
Virtual Co-Embodiment: Evaluation of the Sense of Agency while Sharing the Control of a Virtual Body among Two Individuals
Discovery Radiomics with CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy
Learning sparsity-promoting regularizers for linear inverse problems
Appliance Operation Modes Identification Using Cycles Clustering
Ae 2 I: A Double Autoencoder for Imputation of Missing Values
Alignments as Compositional Structures
Verifying Eiffel Programs with Boogie
Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning
e-Science perspectives in Venezuela
Photo-realistic Facial Texture Transfer
Individually Rational Land and Neighbor Allocation: Impossibility Results
Detecting Overlapping Temporal Community Structure in Time-Evolving Networks
On a class of left metacyclic codes
A Fourier-based inference method for learning interaction kernels in particle systems
Cross-SRN: Structure-Preserving Super-Resolution Network with Cross Convolution
Optimal Clustering under Uncertainty
A Nonconvex Approach for Structured Sparse Learning
Relational Embeddings for Language Independent Stance Detection
Online Dynamic Pricing for Electric Vehicle Charging Stations with Reservations
Multi-fidelity methods for uncertainty propagation in kinetic equations
State Complexity of Multiple Concatenation
Algorithms for automatic intents extraction and utterances classification for goal-oriented dialogue systems
Scale-GS: Efficient Scalable Gaussian Splatting via Redundancy-filtering Training on Streaming Content
Online Submodular Maximization with Free Disposal: Randomization Beats 0.25 for Partition Matroids
FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization
EEG4Students: An Experimental Design for EEG Data Collection and Machine Learning Analysis
CXR-Agent: Vision-language models for chest X-ray interpretation with uncertainty aware radiology reporting
Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset
Overparameterized Multiple Linear Regression as Hyper-Curve Fitting
Secure and Resilient Low-Rate Connectivity for Smart Energy Applications through Power Talk in DC Microgrids
Active inference and deep generative modeling for cognitive ultrasound
Event Extraction Based on Deep Learning in Food Hazard Arabic Texts
Learning Features with Structure-Adapting Multi-view Exponential Family Harmoniums
Ensuring Correctness at the Application Level: a Software Framework Approach
Optical Wireless Sytems for Spine and Leaf Data Center Downlinks
Coresets of obstacles in approximating Euclidean shortest path amid convex obstacles
Multi-user VoiceFilter-Lite via Attentive Speaker Embedding
Generalized Linear Weights for Sharing Credits Among Multiple Authors
Data-efficient Tactile Sensing with Electrical Impedance Tomography
Monitoring Robotic Systems using CSP: From Safety Designs to Safety Monitors
MI-VisionShot: Few-shot adaptation of vision-language models for slide-level classification of histopathological images
Learning over Multitask Graphs - Part II: Performance Analysis
Cross-domain recommender system using Generalized Canonical Correlation Analysis
Clean Code, Better Models: Enhancing LLM Performance with Smell-Cleaned Dataset
Classification of small binary bibraces via bilinear maps
What Catches the Eye? Visualizing and Understanding Deep Saliency Models
Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal
Is the neural tangent kernel of PINNs deep learning general partial differential equations always convergent ?
Approximation Algorithms to Enhance Social Sharing of Fresh Point-of-Interest Information
BPFroid: Robust Real Time Android Malware Detection Framework
DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing
Duration and Interval Hidden Markov Model for Sequential Data Analysis
Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices
An HCAI Methodological Framework: Putting It Into Action to Enable Human-Centered AI
I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths
BatNet: Data transmission between smartphones over ultrasound
Towards Optimal System Scheduling with Synthetic Inertia Provision from Wind Turbines
Improve variational autoEncoder with auxiliary softmax multiclassifier
The Embodied World Model Based on LLM with Visual Information and Prediction-Oriented Prompts
Semi-dynamic connectivity in the plane
Enhancing Topic Extraction in Recommender Systems with Entropy Regularization
Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images
Enhancing the Authenticity of Rendered Portraits with Identity-Consistent Transfer Learning