yusuke1997/dblp-id-title huggingface dataset:
Machine learning in parameter estimation of nonlinear systems
Universal gates with wires in a row
On the Scalability of Multidimensional Databases
Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
I Like to Move It: 6D Pose Estimation as an Action Decision Process
Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling
Actor-Enriched Time Series Forecasting of Process Performance
On completely factoring any integer efficiently in a single run of an order finding algorithm
Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems
Probabilistic maps on bistable vibration energy harvesters
A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images
Balancing Constraints and Submodularity in Data Subset Selection
A Logic Programming Approach to Integration Network Inference
PlaneSAM: Multimodal Plane Instance Segmentation Using the Segment Anything Model
DynamicCity: Large-Scale LiDAR Generation from Dynamic Scenes
Chromatic number of ordered graphs with forbidden ordered subgraphs
Channel Dynamics and SNR Tracking in Millimeter Wave Cellular Systems
The complexity of disjunctive linear Diophantine constraints
CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation
Multizone sound field reproduction with direction-of-arrival-distribution-based regularization and its application to binaural-centered mode-matching
A Study on the Efficient Product Search Service for the Damaged Image Information
Why pre-training is beneficial for downstream classification tasks?
Topology on locally finite metric spaces
DLBAcalib: Robust Extrinsic Calibration for Non-Overlapping LiDARs Based on Dual LBA
Neuro-Symbolic Entity Alignment via Variational Inference
Listwise Preference Optimization with Element-wise Confusions for Aspect Sentiment Quad Prediction
Synchronous Consensus in Partial Synchrony
Temporal approximation of stochastic evolution equations with irregular nonlinearities
Asymptotic Discrepancy of Gaussian Orthogonal Ensemble Matrices
Predictive and Prescriptive Analytics for Location Selection of Add-on Retail Products
Outage Probability of Energy Harvesting Relay-aided Cooperative Networks Over Rayleigh Fading Channel
SKYLINK: Scalable and Resilient Link Management in LEO Satellite Network
Testability Measurement Model for Object Oriented Design (TMMOOD)
Comparing ternary and binary adders and multipliers
An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic
Comparative Analysis of Time Series Forecasting Approaches for Household Electricity Consumption Prediction
Preconditioned Nonlinear Conjugate Gradient Method of Stretch Energy Minimization for Area-Preserving Parameterizations
Learning Singularity-Encoded Green's Functions with Application to Iterative Methods
Transmit Design for Joint MIMO Radar and Multiuser Communications with Transmit Covariance Constraint
Towards Unsupervised Causal Representation Learning via Latent Additive Noise Model Causal Autoencoders
A Faster Drop-in Implementation for Leaf-wise Exact Greedy Induction of Decision Tree Using Pre-sorted Deque
NetSSM: Multi-Flow and State-Aware Network Trace Generation using State-Space Models
Efficient Optimization for Rank-based Loss Functions
Joint Generative Modeling of Scene Graphs and Images via Diffusion Models
Vector Embeddings by Sequence Similarity and Context for Improved Compression, Similarity Search, Clustering, Organization, and Manipulation of cDNA Libraries
Bang-Bang Evasion: Its Stochastic Optimality and a Terminal-Set-Based Implementation
Solar-charge your car: EV charging can be aligned with renewables by providing pro-environmental information on a smartboard
A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames
P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs
Distractor-Aware Memory-Based Visual Object Tracking
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation
Training Nonlinear Transformers for Efficient In-Context Learning: A Theoretical Learning and Generalization Analysis
Exhaustible sets in higher-type computation
Depth-Weighted Detection of Behaviours of Risk in People with Dementia using Cameras
Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption
The Affiliate Matching Problem: On Labor Markets where Firms are Also Interested in the Placement of Previous Workers
Is Structure Dependence Shaped for Efficient Communication?: A Case Study on Coordination
Enaction-Based Artificial Intelligence: Toward Coevolution with Humans in the Loop
Fast assessment of non-Gaussian inputs in structural dynamics exploiting modal solutions
Overcoming Over-Fitting in Constraint Acquisition via Query-Driven Interactive Refinement
Schrodinger Neural Network and Uncertainty Quantification: Quantum Machine
Numerical identification of initial temperatures in heat equation with dynamic boundary conditions
Segmental Convolutional Neural Networks for Detection of Cardiac Abnormality With Noisy Heart Sound Recordings
Enhancing Brain Tumor Classification Using TrAdaBoost and Multi-Classifier Deep Learning Approaches
Spectrum Sharing between Wireless Networks
Optimizing Stateful Dataflow with Local Rewrites
ADRA: Extending Digital Computing-in-Memory with Asymmetric Dual-Row-Activation
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis
Situational Awareness for Safe and Robust Multi-Agent Interactions Under Uncertainty
AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees
On the Secrecy Rate Region for the Interference Channel
SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination
Designing architectured ceramics for transient thermal applications using finite element and deep learning
Efficient Evaluation of the Partition Function of RBMs with Annealed Importance Sampling
Cooperative Multi-Agent Reinforcement Learning Framework for Scalping Trading
SimplerVoice: A Key Message & Visual Description Generator System for Illiteracy
Vision-Based Embedded System for Noncontact Monitoring of Preterm Infant Behavior in Low-Resource Care Settings
A posteriori estimator for the adaptive solution of a quasi-static fracture phase-field model with irreversibility constraints
Dissipative Stabilization for Linear Systems with Time-Varying General Distributed Delays
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
Dynamics of hot random hyperbolic graphs
One-Shot Domain-Adaptive Imitation Learning via Progressive Learning
Alice: Proactive Learning with Teacher's Demonstrations for Weak-to-Strong Generalization
Soundness, Idempotence and Commutativity of Set-Sharing
Application of deep reinforcement learning for Indian stock trading automation
Complete Traceability Multimedia Fingerprinting Codes Resistant to Averaging Attack and Adversarial Noise with Optimal Rate
SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models
Strong convexity-guided hyper-parameter optimization for flatter losses
A right-to-left type system for mutually-recursive value definitions
UserBoost: Generating User-specific Synthetic Data for Faster Enrolment into Behavioural Biometric Systems
Feature-augmented Machine Reading Comprehension with Auxiliary Tasks
Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning
QRetinex-Net: Quaternion-Valued Retinex Decomposition for Low-Level Computer Vision Applications
Multi-agent Task-Driven Exploration via Intelligent Map Compression and Sharing
Data Processing Bounds for Scalar Lossy Source Codes with Side Information at the Decoder
Model-Based Soft Maximization of Suitable Metrics of Long-Term Human Power
PlateSegFL: A Privacy-Preserving License Plate Detection Using Federated Segmentation Learning
Numerical relaxation limit and outgoing edges in a central scheme for networked conservation laws
Power Law Guided Dynamic Sifting for Efficient Attention
A Novel Gain Modeling Technique for LLC Resonant Converters based on The Hybrid Deep-Learning/GMDH Neural Network
Attributes as Semantic Units between Natural Language and Visual Recognition
Adaptive Test Generation Using a Large Language Model
Metal Oxide-based Gas Sensor Array for the VOCs Analysis in Complex Mixtures using Machine Learning
Machine learning applications using diffusion tensor imaging of human brain: A PubMed literature review
Crossing numbers of dense graphs on surfaces
SC-Block: Supervised Contrastive Blocking within Entity Resolution Pipelines
Mathematics of Differential Machine Learning in Derivative Pricing and Hedging
Ridge detection for nonstationary multicomponent signals with time-varying wave-shape functions and its applications
From Generalization to Precision: Exploring SAM for Tool Segmentation in Surgical Environments
Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning
EquiPy: Sequential Fairness using Optimal Transport in Python
Demanded Abstract Interpretation (Extended Version)
On the stability and accuracy of the Empirical Interpolation Method and Gravitational Wave Surrogates
Medical Image Registration using optimal control of a linear hyperbolic transport equation with a DG discretization
An Overview of Collision Avoidance Approaches and Network Architecture of Unmanned Aerial Vehicles (UAVs)
Direct Advantage Regression: Aligning LLMs with Online AI Reward
Unstructured Space-Time Finite Element Methods for Optimal Sparse Control of Parabolic Equations
Domain Agnostic Few-Shot Learning For Document Intelligence
Joint Uplink-and-Downlink Optimization of 3D UAV Swarm Deployment for Wireless-Powered NB-IoT Networks
Microkernel-Based Web Architecture: Design & Implementation Considerations
Design for One, Deploy for Many: Navigating Tree Mazes with Multiple Agents
Technology in Association With Mental Health: Meta-ethnography
On the Achievable Information Rates of CDMA Downlink with Trivial Receivers
Secure Capacity Region for Erasure Broadcast Channels with Feedback
Quantum Boltzmann machine learning of ground-state energies
PixelDiT: Pixel Diffusion Transformers for Image Generation
Layer-layer competition in multiplex complex networks
A Human Rights-Based Approach to Responsible AI
Large Language Models for Planning: A Comprehensive and Systematic Survey
SMOGAN: Synthetic Minority Oversampling with GAN Refinement for Imbalanced Regression
Advances in Metric Ramsey Theory and its Applications
Engineering Time-dependent One-To-All Computation
Classifying Tweet Sentiment Using the Hidden State and Attention Matrix of a Fine-tuned BERTweet Model
Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language
Polyhedral Estimation of L-1 and L-infinity Incremental Gains of Nonlinear Systems
Exploring Recurrent, Memory and Attention Based Architectures for Scoring Interactional Aspects of Human-Machine Text Dialog
Standardizing Your Training Process for Human Activity Recognition Models: A Comprehensive Review in the Tunable Factors
Large Language Model Sourcing: A Survey
Optimizing MoE Routers: Design, Implementation, and Evaluation in Transformer Models
Multi-Task Domain Adaptation for Language Grounding with 3D Objects
Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review
Cloud-based or On-device: An Empirical Study of Mobile Deep Inference
EffiFusion-GAN: Efficient Fusion Generative Adversarial Network for Speech Enhancement
Agentic Predictor: Performance Prediction for Agentic Workflows via Multi-View Encoding
Algorithms for perfectly contractile graphs
Spatial Envelope MPC: High Performance Driving without a Reference
Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics
AD-H: Autonomous Driving with Hierarchical Agents
Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images
Embodied Image Quality Assessment for Robotic Intelligence
MANA: Microarchitecting an Instruction Prefetcher
OUTFOX: LLM-generated Essay Detection through In-context Learning with Adversarially Generated Examples
Conversational User Interfaces As Assistive interlocutors For Young Children's Bilingual Language Acquisition
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection
Learning Visual Representations for Transfer Learning by Suppressing Texture
Data Security and Privacy in Cloud Computing: Concepts and Emerging Trends
Learning Low Precision Deep Neural Networks through Regularization
MAP Inference via L2-Sphere Linear Program Reformulation
Learning to reject meets OOD detection: Are all abstentions created equal?
Credit Scoring for Micro-Loans
Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU
WaterSearch: A Quality-Aware Search-based Watermarking Framework for Large Language Models
A Second-Order Nonlocal Approximation for Surface Poisson Model with Dirichlet Boundary
Improved pyrotechnics : Closer to the burning graph conjecture
One-cycle Structured Pruning with Stability Driven Structure Search
MP1: MeanFlow Tames Policy Learning in 1-step for Robotic Manipulation
New results of 0-APN power functions over F 2 n
Nearly Complete Graphs Decomposable into Large Induced Matchings and their Applications
Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data Science
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective
Independent Set on P k -Free Graphs in Quasi-Polynomial Time
RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning
Query Representation with Global Consistency on User Click Graph
Building Heterogeneous Cloud System for Machine Learning Inference
Poseidon: Non-server WEB Forms Off-line Processing System
Prioritized Architecture Sampling with Monto-Carlo Tree Search
PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexing
The Stratified Foundations as a theory modulo
Learning-Based Algorithms for Vessel Tracking: A Review
HERO: Rethinking Visual Token Early Dropping in High-Resolution Large Vision-Language Models
DRLGENCERT: Deep Learning-based Automated Testing of Certificate Verification in SSL/TLS Implementations
Differentially private federated deep learning for multi-site medical image segmentation
Parametrised polyconvex hyperelasticity with physics-augmented neural networks
Colored Noise in PPO: Improved Exploration and Performance Through Correlated Action Sampling
The Second-Level Smartphone Divide: A Typology of Smartphone Usage Based on Frequency of Use, Skills, and Types of Activities
Trustworthiness in Stochastic Systems: Towards Opening the Black Box
Analysis of Static Cellular Cooperation between Mutually Nearest Neighboring Nodes
BoostJet: Towards Combining Statistical Aggregates with Neural Embeddings for Recommendations
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion
Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels
Beyond One-Time Validation: A Framework for Adaptive Validation of Prognostic and Diagnostic AI-based Medical Devices
MARS: a Multimodal Alignment and Ranking System for Few-Shot Segmentation
Exact Optimization via Sums of Nonnegative Circuits and Sums of AM/GM Exponentials
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning
Partial Transport for Point-Cloud Registration
Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach
Channel Estimation for Rydberg Atomic Quantum Receivers
Learning to Recognize Objects by Retaining other Factors of Variation
Explaining Image Classifiers by Adaptive Dropout and Generative In-filling
Rolling Forcing: Autoregressive Long Video Diffusion in Real Time
DAmageNet: A Universal Adversarial Dataset
A Review on Quantum Circuit Optimization using ZX-Calculus
TriagerX: Dual Transformers for Bug Triaging Tasks with Content and Interaction Based Rankings
Structural System Identification via Validation and Adaptation
Equitable Length of Stay Prediction for Patients with Learning Disabilities and Multiple Long-term Conditions Using Machine Learning
ADAPT: Lightweight, Long-Range Machine Learning Force Fields Without Graphs
Multi-Modality Cardiac Image Computing: A Survey
Reinforcement Learning for Strategic Recommendations
Comment on "Quantum Games and Quantum Strategies"
A note on equipartition
An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations
Learning variant product relationship and variation attributes from e-commerce website structures
Improving Sequential Recommendations with LLMs
Workload Prediction in P4 Programmable Switches: Smart Resource Scheduling
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review
Enterprise Spreadsheet Management: A Necessary Good
Attention based Memory video portrait matting
Fixing Weight Decay Regularization in Adam
A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification
Data-driven Prior Learning for Bayesian Optimisation
Heterogeneous Ultra-Dense Networks with Traffic Hotspots: A Unified Handover Analysis
Toward an Intent-Based and Ontology-Driven Autonomic Security Response in Security Orchestration Automation and Response
Interactive AI with a Theory of Mind
Inference Time Debiasing Concepts in Diffusion Models
NEARL-CLIP: Interacted Query Adaptation with Orthogonal Regularization for Medical Vision-Language Understanding
Activity driven modeling of dynamic networks
Online query answering with differential privacy: a utility-driven approach using Bayesian inference
Performance Evaluation of Real-Time Object Detection for Electric Scooters
Two-sets cut-uncut on planar graphs
Game-theoretic modeling of curtailment rules and network investments with distributed generation
Self-supervised optimization of random material microstructures in the small-data regime
Time-Series Analysis Approach for Improving Energy Efficiency of a Fixed-Route Vessel in Short-Sea Shipping
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
Spatially-Adaptive Hash Encodings For Neural Surface Reconstruction
Geometry-Based Next Frame Prediction from Monocular Video
Hand Gesture Recognition Based on Karhunen-Loeve Transform
PCSI - The Platform for Content-Structure Inference
GAPO: Group Adaptive Policy Optimization for Real-World Code Edit
TrendLearner: Early Prediction of Popularity Trends of User Generated Content
Mitigating Wordline Crosstalk using Adaptive Trees of Counters
Smart Home Appliances: Chat with Your Fridge
From Regular to Context Free to Mildly Context Sensitive Tree Rewriting Systems: The Path of Child Language Acquisition
Stochastic Coded Offloading Scheme for Unmanned Aerial Vehicle-Assisted Edge Computing
On Training and Evaluation of Neural Network Approaches for Model Predictive Control
Meta learning to classify intent and slot labels with noisy few shot examples
Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds
Fuse Local and Global Semantics in Representation Learning
A new approach (extra vertex) and generalization of Shoelace Algorithm usage in convex polygon (Point-in-Polygon)
Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach
ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges
Design Guidelines for Domain Specific Languages
Exploring Equity of Climate Policies using Multi-Agent Multi-Objective Reinforcement Learning
Beyond Softmax: Dual-Branch Sigmoid Architecture for Accurate Class Activation Maps
Align 2 LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction Curation
Group-Mix SAM: Lightweight Solution for Industrial Assembly Line Applications
Complexity Analysis of Stein Variational Gradient Descent Under Talagrand's Inequality T1
A study on text-score disagreement in online reviews
Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization
Selective Learning: Towards Robust Calibration with Dynamic Regularization
Not ready for the bench: LLM legal interpretation is unstable and out of step with human judgments
Does ChatGPT and Whisper Make Humanoid Robots More Relatable?
Approximation Methods for Geometric Regulation
Voting-based Multimodal Automatic Deception Detection
Survey on Automated Machine Learning
What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice
Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds
Towards Using Machine Translation Techniques to Induce Multilingual Lexica of Discourse Markers
Improving Differentiable Architecture Search with a Generative Model
Rethinking LLM-based Preference Evaluation
A polar coordinate system represents syntax in large language models
CrossStack: A 3-D Reconfigurable RRAM Crossbar Inference Engine
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness
Patch-Based Encoder-Decoder Architecture for Automatic Transmitted Light to Fluorescence Imaging Transition: Contribution to the LightMyCells Challenge
Edge-weighted Online Stochastic Matching Under Jaillet-Lu LP
Bestow and Atomic: Concurrent Programming using Isolation, Delegation and Grouping
Towards Dialogues for Joint Human-AI Reasoning and Value Alignment
End-to-end Stroke imaging analysis, using reservoir computing-based effective connectivity, and interpretable Artificial intelligence
A New Parameter Estimation Algorithm Based on Sub-band Dual Frequency Conjugate LVT
Multi-Object Tracking and Identification over Sets
A Modified Convolutional Network for Auto-encoding based on Pattern Theory Growth Function
Mapping global dynamics of benchmark creation and saturation in artificial intelligence
Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging
A $θ(n^2)$ Time Matrix Multiplication Algorithm
Energy-based discontinuous Galerkin difference methods for second-order wave equations
Clutch Control: An Attention-based Combinatorial Bandit for Efficient Mutation in JavaScript Engine Fuzzing
Representation Learning on Large and Small Data
Advancing NLP with Cognitive Language Processing Signals
Effective Feature Extraction for Intrusion Detection System using Non-negative Matrix Factorization and Univariate analysis
From Motion to Muscle
The mathematics of adversarial attacks in AI - Why deep learning is unstable despite the existence of stable neural networks
Dynamic Microgrid Formation Considering Time-dependent Contingency: A Distributionally Robust Approach
Innovation and informal knowledge exchanges between firms
Learning from String Sequences
New Hoopoe Heuristic Optimization
Design of DIRK Schemes with High Weak Stage Order
Investigating Low-Rank Training in Transformer Language Models: Efficiency and Scaling Analysis
Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-dependent Competitive Ratios
IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery
SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference
Majority Logic Decoding under Data-Dependent Logic Gate Failures
Intersection of linear and multi-twisted codes with applications
Improving risk management by using smart containers for real-time traceability
Evolution and Innovation in 5G Cellular Communication System and Beyond: A Study
An Essay on Optimization Mystery of Deep Learning
Group-sparse Embeddings in Collective Matrix Factorization
By Hook or by Crook: Exposing the Diverse Abuse Tactics of Technical Support Scammers