yusuke1997/dblp-id-title huggingface dataset:
Code Difference Guided Fuzzing for FPGA Logic Synthesis Compilers via Bayesian Optimization
Recovering Residual Forensic Data from Smartphone Interactions with Cloud Storage Providers
StyleChat: Learning Recitation-Augmented Memory in LLMs for Stylized Dialogue Generation
Autonomous Cooperative Levels of Multiple-Heterogeneous Unmanned Vehicle Systems
RANDAO-based RNG: Last Revealer Attacks in Ethereum 2.0 Randomness and a Potential Solution
Restorative Speech Enhancement: A Progressive Approach Using SE and Codec Modules
Scene Graph Parsing by Attention Graph
Quasi-Periodic Parallel WaveGAN: A Non-autoregressive Raw Waveform Generative Model with Pitch-dependent Dilated Convolution Neural Network
Envision: Benchmarking Unified Understanding & Generation for Causal World Process Insights
SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networks
Sensing and Recognition When Primary User Has Multiple Power Levels
Learning Restricted Boltzmann Machines with Arbitrary External Fields
Long Short-Term Memory Implementation Exploiting Passive RRAM Crossbar Array
Dynamic Weight Adjustment for Knowledge Distillation: Leveraging Vision Transformer for High-Accuracy Lung Cancer Detection and Real-Time Deployment
Attack Detection and Identification in Cyber-Physical Systems -- Part I: Models and Fundamental Limitations
SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression
Zero Shot Time Series Forecasting Using Kolmogorov Arnold Networks
Echomix: a Strong Anonymity System with Messaging
Binary full adder, made of fusion gates, in sub-excitable Belousov-Zhabotinsky system
Optimizing Integrated Terrestrial and Non-Terrestrial Networks Performance with Traffic-Aware Resource Management
Polymorphic Self-* Agents for Stigmergic Fault Mitigation in Large-Scale Real-Time Embedded Systems
Employing p-CSMA on a LoRa Network Simulator
File System in Data-Centric Computing
Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction
A Systematic Literature Review of the Use of GenAI Assistants for Code Comprehension: Implications for Computing Education Research and Practice
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation
Variance-reduced Language Pretraining via a Mask Proposal Network
Phase-OTDR Event Detection Using Image-Based Data Transformation and Deep Learning
A Modular Design for Geo-Distributed Querying
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms
SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery
Generative AI-Based Probabilistic Constellation Shaping With Diffusion Models
Global Saliency: Aggregating Saliency Maps to Assess Dataset Artefact Bias
A Conflict-Aware Optimal Goal Assignment Algorithm for Multi-Robot Systems
Runtime Enforcement for Component-Based Systems
Learning in the Rational Speech Acts Model
The Distributed Selection Problem and the AKS Sorting Network
Data Distillation for Controlling Specificity in Dialogue Generation
Utilizing Load Shifting for Optimal Compressor Sequencing in Industrial Refrigeration
Partitioned Sampling of Public Opinions Based on Their Social Evolution
First Analysis of Local GD on Heterogeneous Data
TinyHelen's First Curriculum: Training and Evaluating Tiny Language Models in a Simpler Language Environment
A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection
Automatic Knowledge Extraction with Human Interface
Learning in a Multifield Coherent Ising Machine
Efficient Approximation Algorithms for Scheduling Coflows with Total Weighted Completion Time in Identical Parallel Networks
Formalisation of the lambda aleph Runtime
Perceiving Slope and Acceleration: Evidence for Variable Tempo Sampling in Pitch-Based Sonification of Functions
SGDM: Static-Guided Dynamic Module Make Stronger Visual Models
Old Optimizer, New Norm: An Anthology
Flex-Convolution (Deep Learning Beyond Grid-Worlds)
Compact Relaxations for MAP Inference in Pairwise MRFs with Piecewise Linear Priors
Hard-Constrained Neural Networks with Universal Approximation Guarantees
BumbleBee: Application-aware adaptation for container orchestration
Explaining Non-monotonic Normative Reasoning using Argumentation Theory with Deontic Logic
A Family of Rank Similarity Measures based on Maximized Effectiveness Difference
The ITU Faroese Pairs Dataset
AI Tool Use and Adoption in Software Development by Individuals and Organizations: A Grounded Theory Study
A survey of Zarankiewicz problem in geometry
Cutting Your Losses: Learning Fault-Tolerant Control and Optimal Stopping under Adverse Risk
Zero-to-Hero: Zero-Shot Initialization Empowering Reference-Based Video Appearance Editing
Virgo: A Preliminary Exploration on Reproducing o1-like MLLM
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning
Time Majority Voting, a PC-based EEG Classifier for Non-expert Users
A simple algorithm for uniform sampling on the surface of a hypersphere
Synthesis of standard 12-lead electrocardiograms using two dimensional generative adversarial network
If it Bleeds, it Leads: A Computational Approach to Covering Crime in Los Angeles
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results
FedOAED: Federated On-Device Autoencoder Denoiser for Heterogeneous Data under Limited Client Availability
Issue2Test: Generating Reproducing Test Cases from Issue Reports
K-Plane Regression
Dual-stream Maximum Self-attention Multi-instance Learning
Motivo: fast motif counting via succinct color coding and adaptive sampling
Versatile Robust Clustering of Ad Hoc Cognitive Radio Network
Bandits with Deterministically Evolving States
From Qubits to Rhythm: Exploring Quantum Random Walks in Rhythmspaces
Applicability of overlay non-delay tolerant position-based protocols in highways and urban environments for vanet
Dimension reduction for derivative-informed operator learning: An analysis of approximation errors
Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning
Fast Cycle Frequency Domain Feature Detection for Cognitive Radio Systems
Generalisation dynamics of online learning in over-parameterised neural networks
Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset
A polynomial-time approximation algorithm for the number of k-matchings in bipartite graphs
Expansive Automata Networks
BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images
Removing spurious interactions in complex networks
Physical-Layer Security over Correlated Erasure Channels
Data-Driven Dispatchable Regions with Valid Boundaries for Renewable Power Generation: Concept and Construction
Fair Representation and a Linear Shapley Rule
NovoMolGen: Rethinking Molecular Language Model Pretraining
Data Integration with Fusion Searchlight: Classifying Brain States from Resting-state fMRI
Freeway to Memory Level Parallelism in Slice-Out-of-Order Cores
Joint Face Super-Resolution and Deblurring Using a Generative Adversarial Network
Super-Resolution for Selfie Biometrics: Introduction and Application to Face and Iris
Projective simulation for classical learning agents: a comprehensive investigation
Gyroscopically Stabilized Robot: Balance and Tracking
Towards Principled Analysis and Mitigation of Space Cyber Risks
Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining
Matching Community Structure Across Online Social Networks
Ludics without Designs I: Triads
Multinode Shepard collocation method for pricing of financial derivatives
Automatic Function Annotations for Hoare Logic
Transient stability analysis of composite hydrogel structures based on a minimization-type variational formulation
R2MF-Net: A Recurrent Residual Multi-Path Fusion Network for Robust Multi-directional Spine X-ray Segmentation
A Machine Learning Approach to Solving Large Bilevel and Stochastic Programs: Application to Cycling Network Design
Reinforcement learning for hybrid charging stations planning and operation considering fixed and mobile chargers
Lock-in Problem for Parallel Rotor-router Walks
Using colorization as a tool for automatic makeup suggestion
The Effect of Different Optimization Strategies to Physics-Constrained Deep Learning for Soil Moisture Estimation
Exploring Complexity Changes in Diseased ECG Signals for Enhanced Classification
Another Combination of Classical and Intuitionistic Conditionals
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression
Users and Assessors in the Context of INEX: Are Relevance Dimensions Relevant?
Revisiting Score Function Estimators for k -Subset Sampling
Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images
SCLIFD: Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data
Uniform auxiliary space preconditioning for HDG methods for elliptic operators with a parameter dependent low order term
Low-Latency FPGA Control System for Real-Time Neural Network Processing in CCD-Based Trapped-Ion Qubit Measurement
E3CM: Epipolar-Constrained Cascade Correspondence Matching
Prediction for discrete time series
Efficient speech detection in environmental audio using acoustic recognition and knowledge distillation
Incremental Refinement using a Gaussian Test Channel
Aggregating Content and Network Information to Curate Twitter User Lists
Privacy-Preserving Inference for Quantized BERT Models
Interpretability as Alignment: Making Internal Understanding a Design Principle
Convergence Analysis of the Gaussian Regularized Shannon Sampling Formula
Domain Adaptation with a Single Vision-Language Embedding
Discovering shared and individual latent structure in multiple time series
Uncovering Overconfident Failures in CXR Models via Augmentation-Sensitivity Risk Scoring
Addressing Trust Issues for Vehicle to Grid in Distributed Power Grids Using Blockchains
Emergence of Goal-Directed Behaviors via Active Inference with Self-Prior
MOLA: Enhancing Industrial Process Monitoring Using Multi-Block Orthogonal Long Short-Term Memory Autoencoder
A universal reproducing kernel Hilbert space for learning nonlinear systems operators
Discrete Price Updates Yield Fast Convergence in Ongoing Markets with Finite Warehouses
Security Testing Framework for Web Applications: Benchmarking ZAP V2.12.0 and V2.13.0 by OWASP as an example
Coding with Constraints: Minimum Distance Bounds and Systematic Constructions
ste-GAN-ography: Generating Steganographic Images via Adversarial Training
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset
InstructMix2Mix: Consistent Sparse-View Editing Through Multi-View Model Personalization
Enhancing Acute Kidney Injury Prediction through Integration of Drug Features in Intensive Care Units
Survey of Simulators for Aerial Robots
Radiology-GPT: A Large Language Model for Radiology
The principle of cognitive action - Preliminary experimental analysis
Converse Lyapunov Results for Switched Systems with Lower and Upper Bounds on Switching Intervals
Venture: a higher-order probabilistic programming platform with programmable inference
Deterministic particle method for nonlinear nonlocal scalar balance equations
Graph Star Net for Generalized Multi-Task Learning
Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network
Sublogarithmic uniform Boolean proof nets
Mitigating inefficient task mappings with an Adaptive Resource-Moldable Scheduler (ARMS)
Visual Realism Assessment for Face-swap Videos
Video Analysis of "YouTube Funnies" to Aid the Study of Human Gait and Falls - Preliminary Results and Proof of Concept
Reverse-Engineered Reasoning for Open-Ended Generation
GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs
A Complete Helmholtz Decomposition on Multiply Connected Subdivision Surfaces and Its Application to Integral Equations
ANTASID: A Novel Temporal Adjustment to Shannon's Index of Difficulty
Adaptive Genetic Selection based Pinning Control with Asymmetric Coupling for Multi-Network Heterogeneous Vehicular Systems
The Contribution of Human Body Capacitance/Body-Area Electric Field To Individual and Collaborative Activity Recognition
Data Augmentation through Pseudolabels in Automatic Region Based Coronary Artery Segmentation for Disease Diagnosis
VA-GCN: A Vector Attention Graph Convolution Network for learning on Point Clouds
Electronic Prescription System for Pediatricians
Faster Negative-Weight Shortest Paths and Directed Low-Diameter Decompositions
A posteriori error estimates for the Lindblad master equation
Promotion and resignation in employee networks
To Explore What Isn't There - Glyph-based Visualization for Analysis of Missing Values
Deepfake Detection via Knowledge Injection
A New Type of Axis-Angle Attitude Control Law for Rotational Systems: Synthesis, Analysis, and Experiments
Universal Self-Consistency for Large Language Model Generation
Oscillatory Signatures of Parkinson's Disease: Central and Parietal EEG Alterations Across Multiple Frequency Bands
Maximizing Profit in Green Cellular Networks through Collaborative Games
Enabling Integrated AI Control on DIII-D: A Control System Design with State-of-the-art Experiments
Deep Transfer Learning for EEG-based Brain Computer Interface
E-Semiotics
Distributed Fractional Bayesian Learning for Adaptive Optimization
Improved Analyses for SP and CoSaMP Algorithms in Terms of Restricted Isometry Constants
Robust Multi-Modal Face Anti-Spoofing with Domain Adaptation: Tackling Missing Modalities, Noisy Pseudo-Labels, and Model Degradation
Adversarial Learning in the Cyber Security Domain
Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution
Physics-Informed Adaptive Deep Koopman Operator Modeling for Autonomous Vehicle Dynamics
Gates are not what you need in RNNs
Recommending to Strategic Users
Approximation of the spectral fractional powers of the Laplace-Beltrami Operator
Efficient Quantile Computation in Markov Chains via Counting Problems for Parikh Images
Coordinated Deliverable Energy Flexibility from EV Aggregators in Distribution Networks
Hybrid Quantum Neural Network based Indoor User Localization using Cloud Quantum Computing
Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering
Chain Routing: A new routing framework for the Internet based on complete orders
Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM
Lamarr: LHCb ultra-fast simulation based on machine learning models deployed within Gauss
MultiSHAP: A Shapley-Based Framework for Explaining Cross-Modal Interactions in Multimodal AI Models
Neural Architecture Codesign for Fast Physics Applications
A Framework for Controlling Multi-Robot Systems Using Bayesian Optimization and Linear Combination of Vectors
Residual-guided AI-CFD hybrid method enables stable and scalable simulations: from 2D benchmarks to 3D applications
Modeling Compositionality with Multiplicative Recurrent Neural Networks
Scale Invariant Interest Points with Shearlets
Spatio-temporal Co-Occurrence Characterizations for Human Action Classification
Querying Complex Networks in Vector Space
LLMs Simulate Big Five Personality Traits: Further Evidence
LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
Proceedings Third Workshop on Graphs as Models, GaM@ETAPS 2017, Uppsala, Sweden, 23rd April 2017
FullDiT2: Efficient In-Context Conditioning for Video Diffusion Transformers
Building Specialized Software-Assistant ChatBot with Graph-Based Retrieval-Augmented Generation
OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts
A review of flywheel energy storage systems: state of the art and opportunities
Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs
Sentiment Analysis of Code-Mixed Social Media Text (Hinglish)
Software Effort Estimation using Radial Basis and Generalized Regression Neural Networks
Evolution and anti-evolution in a minimal stock market model
Iterative List Detection and Decoding for mMTC
Disease State Prediction From Single-Cell Data Using Graph Attention Networks
Separate Random Number Generation from Correlated Sources
Distributed Seasonal Temporal Pattern Mining
Discriminative Noise Robust Sparse Orthogonal Label Regression-based Domain Adaptation
Experiments on Manual Thesaurus based Query Expansion for Ad-hoc Monolingual Gujarati Information Retrieval Tasks
Towards an Adaptive Robot for Sports and Rehabilitation Coaching
SugarcaneShuffleNet: A Very Fast, Lightweight Convolutional Neural Network for Diagnosis of 15 Sugarcane Leaf Diseases
Dual Learning for Dialogue State Tracking
Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy
Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis
Learning multi-robot coordination from demonstrations
Event Coreference Resolution for Contentious Politics Events
A Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields
Friendship Paradox and Attention Economics
Online Adversarial Purification based on Self-Supervision
Debiasing Polynomial and Fourier Regression
Dynamic Maximal Independent Set
Improving exploration in policy gradient search: Application to symbolic optimization
Adversarial Attacks Against Deep Learning Systems for ICD-9 Code Assignment
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning
Street Gaussians for Modeling Dynamic Urban Scenes
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
MENTOR: Multilingual tExt detectioN TOward leaRning by analogy
Complementation: a bridge between finite and infinite proofs
Assortment Optimization under the General Luce Model
Robustness of the nonlinear PI control method to ignored actuator dynamics
Neural-Base Music Generation for Intelligence Duplication
When Many-Shot Prompting Fails: An Empirical Study of LLM Code Translation
Enhanced physics-informed neural networks (PINNs) for high-order power grid dynamics
Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning
Computational Higher Type Theory III: Univalent Universes and Exact Equality
Deep Point-to-Plane Registration by Efficient Backpropagation for Error Minimizing Function
Impact analysis of recovery cases due to COVID19 using LSTM deep learning model
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads
Notes on switching lemmas
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning
Exquisitor: Interactive Learning at Large
Compression of volume-surface integral equation matrices via Tucker decomposition for magnetic resonance applications
CrystalFormer-CSP: Thinking Fast and Slow for Crystal Structure Prediction
Approximate Equilibria in Non-constant-sum Colonel Blotto and Lottery Blotto Games with Large Numbers of Battlefields
Extended Split Operator method as an efficient way for computing dynamics of a spinor F=1 Bose-Einstein condensate
A Linguistic Model of Classifying and Clustering Community Pages in a Social Network Based on User Interests
Electronic excited states from physically-constrained machine learning
On the Topology Maintenance of Dynamic P2P Overlays through Self-Healing Local Interactions
Community detection in networks using graph embeddings
CompassDB: Pioneering High-Performance Key-Value Store with Perfect Hash
Streaming Voice Conversion Via Intermediate Bottleneck Features And Non-streaming Teacher Guidance
Optimization Benchmark for Diffusion Models on Dynamical Systems
Towards Zero-Shot Coordination between Teams of Agents: The N-XPlay Framework
Degrees of Freedom of Multi-hop MIMO Broadcast Networks with Delayed CSIT
Hitting all longest paths in H-free graphs and H-graphs
Scalable extensions to given-data Sobol' index estimators
Shrinking unit: a Graph Convolution-Based Unit for CNN-like 3D Point Cloud Feature Extractors
Dataset Lifecycle Framework and its applications in Bioinformatics
A Sequential Matching Framework for Multi-turn Response Selection in Retrieval-based Chatbots
An empirical study of the power consumption of cryptographic primitives in Android
Performance Evaluation of Machine Learning Techniques for DoS Detection in Wireless Sensor Network
1 x 1 Rush Hour with Fixed Blocks is PSPACE-complete
Multimodal Foundational Models for Unsupervised 3D General Obstacle Detection
Achieving Pareto Optimality in Games via Single-bit Feedback
Recovering wavelet coefficients from binary samples using fast transforms
FRACAS: A FRench Annotated Corpus of Attribution relations in newS
Homotopy canonicity for cubical type theory
Clustered Linear Contextual Bandits with Knapsacks
Incorporating Different Verbal Cues to Improve Text-Based Computer-Delivered Health Messaging
Safety of the Intended Functionality Concept Integration into a Validation Tool Suite
Workflow Management on the Blockchain - Implications and Recommendations
Free iterative and iteration K-semialgebras
On the largest empty axis-parallel box amidst n points
Effective Stimulus Propagation in Neural Circuits: Driver Node Selection
Motif 2.6B Technical Report
Requirements on bit resolution in optical Ising machine implementations
An Efficient Proximity Graph-based Approach to Table Union Search
Systematic Mutation-based Evaluation of the Soundness of Security-focused Android Static Analysis Techniques
Secure Network Function Computation for Linear Functions, Part II: Target-Function Security
Removing Dust from CMB Observations with Diffusion Models
Mīmā\d{m}sā deontic logic: proof theory and applications
Probabilistic methods for approximate archetypal analysis
Bayesian artificial brain with ChatGPT
Fast, Accurate, and Scalable Method for Sparse Coupled Matrix-Tensor Factorization
WePaMaDM-Outlier Detection: Weighted Outlier Detection using Pattern Approaches for Mass Data Mining
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-corpus Setting for Speech Emotion Recognition
Repeatability, Reproducibility, Replicability, Reusability (4R) in Journals' Policies and Software/Data Management in Scientific Publications: A Survey, Discussion, and Perspectives
Solve-Select-Scale: A Three Step Process For Sparse Signal Estimation
From Cracks to Crooks: YouTube as a Vector for Malware Distribution
Designing Autonomous Markets for Stablecoin Monetary Policy
"Did my figure do justice to the answer?" : Towards Multimodal Short Answer Grading with Feedback (MMSAF)
Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach
Study of Throughput and Delay in Finite-Buffer Line Networks
pch2csd: an application for converting Nord Modular G2 patches into Csound code
View-invariant Gait Recognition through Genetic Template Segmentation
Zero-Reachability in Probabilistic Multi-Counter Automata
MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN
HyDe: A Hybrid PCM/FeFET/SRAM Device-search for Optimizing Area and Energy-efficiencies in Analog IMC Platforms
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?
Improving trajectory localization accuracy via direction-of-arrival derivative estimation
Training Sparse Neural Networks using Compressed Sensing
Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data
AlloyInter: Visualising Alloy Mixture Interpolations in t-SNE Representations
Revelation of Task Difficulty in AI-aided Education
Artificial Intelligence Generated Coins for Size Comparison
GPU acceleration of non-equilibrium Green's function calculation using OpenACC and CUDA FORTRAN
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation
Learning Effective Loss Functions Efficiently
Random-Order Enumeration for Self-Reducible NP-Problems