yusuke1997/dblp-id-title huggingface dataset:
DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes
Enhancing Privacy in Federated Learning through Local Training
Elastic interior transmission eigenvalues and their computation via the method of fundamental solutions
Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks
Counting and Locating High-Density Objects Using Convolutional Neural Network
Accelerated Neural Network Training with Rooted Logistic Objectives
Deep Triplet Ranking Networks for One-Shot Recognition
A Composable Method for Real-Time Control of Active Distribution Networks with Explicit Power Setpoints
Context-aware LLM-based Safe Control Against Latent Risks
Take A Step Back: Rethinking the Two Stages in Visual Reasoning
Generic Description of Well-Scoped, Well-Typed Syntaxes
Quantum Memristors in Quantum Photonics
GundamQ: Multi-Scale Spatio-Temporal Representation Learning for Robust Robot Path Planning
ActivationNet: Representation learning to predict contact quality of interacting 3-D surfaces in engineering designs
VocalEyes: Enhancing Environmental Perception for the Visually Impaired through Vision-Language Models and Distance-Aware Object Detection
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals
Vision Language Models Are Few-Shot Audio Spectrogram Classifiers
Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis
How PARTs assemble into wholes: Learning the relative composition of images
Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering
Towards Scalable Verification of RL-Driven Systems
Secure Cloud Storage with Client-Side Encryption Using a Trusted Execution Environment
BondMatcher: H-Bond Stability Analysis in Molecular Systems
Geometric Deep Learning Towards the Iterative Classification of Graph-Based Aircraft Thermal Management Systems
Inside VOLT: Designing an Open-Source GPU Compiler
A Novel Approach to Sparse Inverse Covariance Estimation Using Transform Domain Updates and Exponentially Adaptive Thresholding
Accelerating Fractional PINNs using Operational Matrices of Derivative
Can a latent Hawkes process be used for epidemiological modelling?
Variational formulation and monolithic solution of computational homogenization methods
Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13
Transient Stability evaluation of a Solar PV Integrated Industrial Microgrid
Exponential integrators for second-order in time partial differential equations
InTAct: Interval-based Task Activation Consolidation for Continual Learning
Environment Based Secure Transfer of Data in Wireless Sensor Networks
A note on small cuts for a terminal
Sequence-to-Sequence ASR Optimization via Reinforcement Learning
Towards Automatic Generation of Questions from Long Answers
Optimizing Feature Ordering in Radar Charts for Multi-Profile Comparison
Proposal for a Correction to the Temporal Correlation Coefficient Calculation for Temporal Networks
A Survey of AI Methods for Geometry Preparation and Mesh Generation in Engineering Simulation
Automatic occlusion removal from 3D maps for maritime situational awareness
Virus-MNIST: Machine Learning Baseline Calculations for Image Classification
Leveraging Sustainable Systematic Literature Reviews
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces
Leveraging Diffusion Model and Image Foundation Model for Improved Correspondence Matching in Coronary Angiography
Proof-Theoretic Soundness and Completeness
A Multi-Modal Neuro-Symbolic Approach for Spatial Reasoning-Based Visual Grounding in Robotics
Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework
Corpus Statistics in Text Classification of Online Data
RWSeg: Cross-graph Competing Random Walks for Weakly Supervised 3D Instance Segmentation
Visual Wake Words Dataset
A Semi-Automatic Framework to Discover Epistemic Modalities in Scientific Articles
Fast Splitting Algorithms for Sparsity-Constrained and Noisy Group Testing
Deep Clustering with a Constraint for Topological Invariance based on Symmetric InfoNCE
A Rewriting Logic Approach to Specification, Proof-search, and Meta-proofs in Sequent Systems
Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis
Quantifying the implicit process flow abstraction in SBGN-PD diagrams with Bio-PEPA
Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks
G-MSGINet: A Grouped Multi-Scale Graph-Involution Network for Contactless Fingerprint Recognition
Establishment and Solution of a Multi-Stage Decision Model Based on Hypothesis Testing and Dynamic Programming Algorithm
The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control
Generalizable Deepfake Detection via Effective Local-Global Feature Extraction
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection
Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models
Behind the Machine's Gaze: Biologically Constrained Neural Networks Exhibit Human-like Visual Attention
Towards softerware: Enabling personalization of interactive data representations for users with disabilities
How Should We Meta-Learn Reinforcement Learning Algorithms?
Explanation, Debate, Align: A Weak-to-Strong Framework for Language Model Generalization
Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting
Bayesian Gradient Descent: Online Variational Bayes Learning with Increased Robustness to Catastrophic Forgetting and Weight Pruning
An Information-Theoretical View of Network-Aware Malware Attacks
Existence of a polyhedron which does not have a non-overlapping pseudo-edge unfolding
The iWildCam 2020 Competition Dataset
Survey and synthesis of state of the art in driver monitoring
Biased Importance Sampling for Deep Neural Network Training
Optimisations for quadrature representations of finite element tensors through automated code generation
LLM Agent Swarm for Hypothesis-Driven Drug Discovery
A Java Implementation of the SGA, UMDA, ECGA, and HBOA
Palm-GAN: Generating Realistic Palmprint Images Using Total-Variation Regularized GAN
StereoVLA: Enhancing Vision-Language-Action Models with Stereo Vision
Is There a Better Source Distribution than Gaussian? Exploring Source Distributions for Image Flow Matching
Claw-free graphs, skeletal graphs, and a stronger conjecture on $ω$, $Δ$, and $χ$
Event-based Temporally Dense Optical Flow Estimation with Sequential Neural Networks
Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits
LLMVA-GEBC: Large Language Model with Video Adapter for Generic Event Boundary Captioning
Suspiciousness of Adversarial Texts to Human
Unsupervised Domain Adaptation using Generative Models and Self-ensembling
Multi-fidelity aerodynamic data fusion by autoencoder transfer learning
Automated Programmatic Performance Analysis of Parallel Programs
LLMs: A Game-Changer for Software Engineers?
Type Classes for Mathematics in Type Theory
Real-time nonlinear inversion of magnetic resonance elastography with operator learning
Control and Monitoring System for Modular Wireless Robot
Chromatic correlation clustering via cluster LP
AC-Reason: Towards Theory-Guided Actual Causality Reasoning with Large Language Models
Target-Quality Image Compression with Recurrent, Convolutional Neural Networks
Perceptrons with Hebbian learning based on wave ensembles in plastic potentials
CausalFSFG: Rethinking Few-Shot Fine-Grained Visual Categorization from Causal Perspective
Büchi-like characterizations for Parikh-recognizable omega-languages
SoftCVI: contrastive variational inference with self-generated soft labels
ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation
Dynamic Object Detection in Range data using Spatiotemporal Normals
FicSim: A Dataset for Multi-Faceted Semantic Similarity in Long-Form Fiction
Risk-Averse Finetuning of Large Language Models
Self-Validated Learning for Particle Separation: A Correctness-Based Self-Training Framework Without Human Labels
ATSO: Asynchronous Teacher-Student Optimizationfor Semi-Supervised Medical Image Segmentation
Advancing Speech Translation: A Corpus of Mandarin-English Conversational Telephone Speech
Towards Reliable LLM-based Robot Planning via Combined Uncertainty Estimation
State Transition Modeling of the Smoking Behavior using LSTM Recurrent Neural Networks
Prediction of tone detection thresholds in interaurally delayed noise based on interaural phase difference fluctuations
FlexAuc: Serving Dynamic Demands in a Spectrum Trading Market with Flexible Auction
A sufficient condition for first order non-definability of arrowing problems
How Far Can Client-Only Solutions Go for Mobile Browser Speed?
Rare Disease Differential Diagnosis with Large Language Models at Scale: From Abdominal Actinomycosis to Wilson's Disease
Blindness to Modality Helps Entailment Graph Mining
FDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
WeakPolyp: You Only Look Bounding Box for Polyp Segmentation
Direct N-body application on low-power and energy-efficient parallel architectures
A General Characterization of Sync Word for Asynchronous Communication
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
Randomization for the Efficient Computation of Parametric Reduced Order Models for Inversion
Signal Design for OTFS Dual-Functional Radar and Communications with Imperfect CSI
Decentralized P2P Energy Trading under Network Constraints in a Low-Voltage Network
E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
Multi-Turn Beam Search for Neural Dialogue Modeling
A Fast and Accurate Solver for the Fractional Fokker-Planck Equation with Dirac-Delta Initial Conditions
BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Orientation-aware Semantic Segmentation on Icosahedron Spheres
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
FHIR-RAG-MEDS: Integrating HL7 FHIR with Retrieval-Augmented Large Language Models for Enhanced Medical Decision Support
Stochastic regularity of general quadratic observables of high frequency waves
A Modular Pipeline for 3D Object Tracking Using RGB Cameras
Bearing-based distributed pose estimation for multi-agent networks
Day-ahead Operation of an Aggregator of Electric Vehicles via Optimization under Uncertainty
On Explaining Decision Trees
Coarse-to-Fine Memory Matching for Joint Retrieval and Classification
Dissociable neural representations of adversarially perturbed images in deep neural networks and the human brain
Enumeration of Tree-like Multigraphs with a Given Number of Vertices, Self-loops and Multiple Edges
Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems
Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion
GeoVLM: Improving Automated Vehicle Geolocalisation Using Vision-Language Matching
Spectral Norm Regularization for Improving the Generalizability of Deep Learning
Spectral approach to the communication complexity of multi-party key agreement
Atmospheric Transport Modeling of CO 2 with Neural Networks
Synthesizing and tuning chemical reaction networks with specified behaviours
A Service for Supporting Digital and Immersive Cultural Experiences
The Distribution Function of the Longest Path Length in Constant Treewidth DAGs with Random Edge Length
Embedding a Differentiable Mel-cepstral Synthesis Filter to a Neural Speech Synthesis System
SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation
Reconfigurable Ubiquitous Computing Infrastructure for Load Balancing
CRUD-Capable Mobile Apps with R and shinyMobile: a Case Study in Rapid Prototyping
Efficient solution of ill-posed integral equations through averaging
'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) Tasks
Mapping Images with the Coherence Length Diagrams
Load Balancing Congestion Games and their Asymptotic Behavior
Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports
The Effects of Different JSON Representations on Querying Knowledge Graphs
Restructuring in Combinatorial Optimization
On the Complexity of Computing a Fastest Temporal Path in Interval Temporal Graphs
DynaGuard: A Dynamic Guardrail Model With User-Defined Policies
Online Ad Slotting With Cancellations
Supercharging Federated Learning with Flower and NVIDIA FLARE
Speech-to-SQL: Towards Speech-driven SQL Query Generation From Natural Language Question
Improvement in Retention Time of Capacitorless DRAM with Access Transistor
LaMI-GO: Latent Mixture Integration for Goal-Oriented Communications Achieving High Spectrum Efficiency
An Identification System Using Eye Detection Based On Wavelets And Neural Networks
Nine Ways to Break Copyright Law and Why Our LLM Won't: A Fair Use Aligned Generation Framework
Federated Fine-Tuning of Sparsely-Activated Large Language Models on Resource-Constrained Devices
SafeBehavior: Simulating Human-Like Multistage Reasoning to Mitigate Jailbreak Attacks in Large Language Models
A Survey on Neural Network-Based Summarization Methods
Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
Why We Can Not Surpass Capacity: The Matching Condition
Hierarchical Transformers are Efficient Meta-Reinforcement Learners
Upward confluence in the interaction calculus
Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
Optimization and passive flow control using single-step deep reinforcement learning
Constructive asymptotic bounds of locally repairable codes via function fields
Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models
Mamba in Speech: Towards an Alternative to Self-Attention
Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning
Blockchain-Driven Federation for Distributed Edge Systems: Design and Experimental Validation
Access Control of Semantic Segmentation Models Using Encrypted Feature Maps
CADM: Cluster-customized Adaptive Distance Metric for Categorical Data Clustering
Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report)
Defensive Distillation is Not Robust to Adversarial Examples
Neutron Star Evolutions using Tabulated Equations of State with a New Execution Model
When Can Model-Free Reinforcement Learning be Enough for Thinking?
Space-Efficient Multi-Dimensional Range Reporting
Audio-visual Recognition of Overlapped speech for the LRS2 dataset
"I've talked to ChatGPT about my issues last night.": Examining Mental Health Conversations with Large Language Models through Reddit Analysis
SE(3) based Extended Kalman Filter for Spacecraft Attitude Estimation
Automated generalisation of buildings using CartAGen platform
3D Geometric Analysis of Tubular Objects based on Surface Normal Accumulation
A Practical Assessment of the Power Grid Inertia Constant Using PMUs
Solenoid Maps, Automatic Sequences, Van Der Put Series, and Mealy-Moore Automata
Proceedings Third Workshop on Programming Language Approaches to Concurrency and communication-cEntric Software, PLACES 2010, Paphos, Cyprus, 21st March 2010
Low-rank data modeling via the Minimum Description Length principle
A Hierarchical Collision Avoidance Architecture for Multiple Fixed-Wing UAVs in an Integrated Airspace
Graph Neural Networks for Molecules
IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network
PRISM: A Personality-Driven Multi-Agent Framework for Social Media Simulation
A new method for choosing parameters in delay reconstruction-based forecast strategies
An alternative text representation to TF-IDF and Bag-of-Words
Protein pathways as a catalyst to directed evolution of the topology of artificial neural networks
Robust internal model control approach for position control of systems with sandwiched backlash
Unitless Frobenius quantales
In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers
Embedding-based statistical inference on generative models
Extracting the Potential of Emerging Hardware Accelerators for Symmetric Eigenvalue Decomposition
Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-free Multi-Exposure Image Fusion
Embedding Differentiable Sparsity into Deep Neural Network
Orchestrating Metadata Enhancement Services: Introducing Lenny
Image Resolution and Contrast Enhancement of Satellite Geographical Images with Removal of Noise using Wavelet Transforms
Bridging Search and Recommendation through Latent Cross Reasoning
A Mean Field View of the Landscape of Two-Layers Neural Networks
Higher-Order Accelerated Methods for Faster Non-Smooth Optimization
SCJ-Circus: a refinement-oriented formal notation for Safety-Critical Java
Preliminary Characterization of Bio-inspired Dog-Nose Sampler for Aerosol Detection
3D Microstructure Segmentation by Topological Persistence
Robust Segmented Analog Broadcast Design to Accelerate Wireless Federated Learning
Information fusion strategy integrating pre-trained language model and contrastive learning for materials knowledge mining
Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models
LIPT: Latency-aware Image Processing Transformer
An optimal control approach of within day congestion pricing for stochastic transportation networks
Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction
The generalized e-bundle
Knowledge graph-based personalized multimodal recommendation fusion framework
Safe Reinforcement Learning for Emergency LoadShedding of Power Systems
Automatic crack detection and classification by exploiting statistical event descriptors for Deep Learning
Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning
Approximating real-rooted and stable polynomials, with combinatorial applications
A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation
On Principles of Emergent Organization
Application of deep learning to enhance the accuracy of intrusion detection in modern computer networks
Generic Reversible Visible Watermarking Via Regularized Graph Fourier Transform Coding
WaBERT: A Low-resource End-to-end Model for Spoken Language Understanding and Speech-to-BERT Alignment
Analysis of Asymmetric Piezoelectric Composite Beam
Phase Transitions in Community Detection: A Solvable Toy Model
Depth Map Estimation of Dynamic Scenes Using Prior Depth Information
Vector preference-based contextual bandits under distributional shifts
Routing Networks with Co-training for Continual Learning
Optimal Sabotage Attack on Composite Material Parts
Construction of Full-Diversity LDPC Lattices for Block-Fading Channels
Hardware Counted Profile-Guided Optimization
Development of Adaptive Frame Reservation Scheme and Naive Persistent State Co-Located Coexistence Controller
Antichains for Inclusion Games
Inverse POMDP: Inferring What You Think from What You Do
Modeling Stock Price Dynamics with Fuzzy Opinion Networks
Algorithms to solve coupled systems of differential equations in terms of power series
A Convergence Analysis of the Multipole Expansion Method
Uncovering Bias in Face Generation Models
To augment or not to augment? Data augmentation in user identification based on motion sensors
Algebraic Reconstruction of Piecewise-Smooth Functions of Two Variables from Fourier Data
SCIMAT: Science and Mathematics Dataset
Attention on Weak Ties in Social and Communication Networks
Study of Self-Organization Model of Multiple Mobile Robot
gfnx: Fast and Scalable Library for Generative Flow Networks in JAX
Automated Neuron Labelling Enables Generative Steering and Interpretability in Protein Language Models
Unimodal Mono-Partite Matching in a Bandit Setting
The State of Knowledge Distillation for Classification
Analysis of Trade-offs in RF Photonic Links based on Multi-Bias Tuning of Silicon Photonic Ring-Assisted Mach Zehnder Modulators
Confidential FRIT via Homomorphic Encryption
Collaboration Network Formation and the Demand for Problem Solvers with Heterogenous Skills
Using cluster analysis on municipal statistical data to configure public policies about Water, Sanitation and Hygiene in Venezuela
NF4 Isn't Information Theoretically Optimal (and that's Good)
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning
Enhancing Pneumonia Diagnosis and Severity Assessment through Deep Learning: A Comprehensive Approach Integrating CNN Classification and Infection Segmentation
Smart Multihoming in Smart Shires: Mobility and Communication Management for Smart Services in Countrysides
A new CP-approach for a parallel machine scheduling problem with time constraints on machine qualifications
An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes
Shuffled Differentially Private Federated Learning for Time Series Data Analytics
Generic Multi-modal Representation Learning for Network Traffic Analysis
Neural Models and Language Model Prompting for the Multidimensional Evaluation of Open-Ended Conversations
Optimizing semilinear representations for State-dependent Riccati Equation-based feedback control
Internet of Drones: a Survey on Communications, Technologies, Protocols, Architectures and Services
Natural Language Translation of Formal Proofs through Informalization of Proof Steps and Recursive Summarization along Proof Structure
Relational Multi-Manifold Co-Clustering
A Stochastic Game Formulation of Energy-Efficient Power Control: Equilibrium Utilities and Practical Strategies
2-edge-twinless blocks
TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling
Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach
Strategic Liquidity Provision in Uniswap v3
Electromechanical Reliability Testing of Three-Axial Silicon Force Sensors
Adaptive Integral Sliding Mode Control for Attitude Tracking of Underwater Robots With Large Range Pitch Variations in Confined Space
Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition
LongSkywork: A Training Recipe for Efficiently Extending Context Length in Large Language Models
Product recognition in store shelves as a sub-graph isomorphism problem
High order linearly implicit methods for semilinear evolution PDEs
Basic properties for sand automata
SDPERL: A Framework for Software Defect Prediction Using Ensemble Feature Extraction and Reinforcement Learning
Autoencoding undirected molecular graphs with neural networks
SeizNet: An AI-enabled Implantable Sensor Network System for Seizure Prediction
The Lattice of Fuzzy Intervals and Sufficient Conditions for its Distributivity
The Road to BOFUSS: The Basic OpenFlow User-space Software Switch
TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times
Behavior-Specific Filtering for Enhanced Pig Behavior Classification in Precision Livestock Farming
Quantum gene regulatory networks
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
CARE-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson's Disease Gait Assessment
Library and Information Science Scholarly Journals Publishing Simulation: A Study
Inapproximability of Dominating Set in Power Law Graphs
High-Resolution Probabilistic Data-Driven Weather Modeling with a Stretched-Grid
Learning Generative Embeddings using an Optimal Subsampling Policy for Tensor Sketching