yusuke1997/dblp-id-title huggingface dataset:
AI could create a perfect storm of climate misinformation
Modified Double DQN: addressing stability
Weak Adaptive Submodularity and Group-Based Active Diagnosis with Applications to State Estimation with Persistent Sensor Faults
Numerical solutions of ordinary differential equations using Spline-Integral Operator
Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter
Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents
Decision-based AI Visual Navigation for Cardiac Ultrasounds
Entropy production by implicit Runge-Kutta schemes
A Construction of Linear Codes over $\f_{2^t}$ from Boolean Functions
On Quantum Programming Languages
LHC Databases on the Grid: Achievements and Open Issues
Subword Sampling for Low Resource Word Alignment
Preemptive Scheduling of Equal-Length Jobs to Maximize Weighted Throughput
Tracking from Patterns: Learning Corresponding Patterns in Point Clouds for 3D Object Tracking
RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation
You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Model
MITAS: A Compressed Time-Domain Audio Separation Network with Parameter Sharing
Scalable Linear Time Dense Direct Solver for 3-D Problems Without Trailing Sub-Matrix Dependencies
SAT-based Compressive Sensing
Detecting Rainfall Onset Using Sky Images
Deep Unfolding for MIMO Signal Detection
Analysis of radial complex scaling methods: scalar resonance problems
CL-UZH submission to the NIST SRE 2024 Speaker Recognition Evaluation
An Analytical Model for Wireless Mesh Networks with Collision-Free TDMA and Finite Queues
Distributional stability and deterministic equilibrium selection under heterogeneous evolutionary dynamics
RIS Deployment Optimization with Iterative Detection and Decoding in Multiuser Multiple-Antenna Systems
Generalised Winograd Schema and its Contextuality
Multiflow Transmission in Delay Constrained Cooperative Wireless Networks
Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification
PINNslope: seismic data interpolation and local slope estimation with physics informed neural networks
Masquerade: Learning from In-the-wild Human Videos using Data-Editing
Task Interruptions in Requirements Engineering: Reality versus Perceptions!
Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation
The MeSH-gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for UMLS Semantic Similarity and Relatedness in the Biomedical Domain
Dalek: An Unconventional and Energy-Aware Heterogeneous Cluster
OpenUrban3D: Annotation-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds
A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns
The Synergistic Gains of Coded Caching and Delayed Feedback
An Exploratory Study on Using Large Language Models for Mutation Testing
A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making
How to reveal the rank of a matrix?
Emerging Trends in Software Architecture from the Practitioners Perspective: A Five Year Review
Unsupervised Pre-training with Language-Vision Prompts for Low-Data Instance Segmentation
Neural Network for Blind Unmixing: a novel MatrixConv Unmixing (MCU) Approach
Semi-supervised Discovery of Informative Tweets During the Emerging Disasters
Enhancing Sampling Protocol for Robust Point Cloud Classification
A Scalable and Optimal Graph-Search Method for Secure State Estimation
In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models
On the Fundamental Limits of Interweaved Cognitive Radios
UzBERT: pretraining a BERT model for Uzbek
Distributed Frequency Control with Operational Constraints, Part II: Network Power Balance
Polynomial Chaos Expansion for Operator Learning
LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models
Yall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts
Sub-event detection from Twitter streams as a sequence labeling problem
Un-Doubling Diffusion: LLM-guided Disambiguation of Homonym Duplication
Porting the LSST Data Management Pipeline Software to Python 3
Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation
CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA
The Vector Space of Convex Curves: How to Mix Shapes
Space Cybersecurity Testbed: Fidelity Framework, Example Implementation, and Characterization
HV Metric For Time-Domain Full Waveform Inversion
Improving search order for reachability testing in timed automata
Splitability Annotations: Optimizing Black-Box Function Composition in Existing Libraries
The Drain of Scientific Publishing
Data-free Knowledge Distillation with Diffusion Models
Smart Contracts in the Real World: A Statistical Exploration of External Data Dependencies
A Survey on Metric Learning for Feature Vectors and Structured Data
Enhanced Transmit Antenna Selection Scheme for Secure Throughput Maximization Without CSI at the Transmitter and its Applications on Smart Grids
Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective
Multistep Multiappliance Load Prediction
Speaker discrimination in humans and machines: Effects of speaking style variability
More on Maximally Permissive Similarity Control of Discrete Event Systems
Resilient Backhaul Network Design Using Hybrid Radio/Free-Space Optical Technology
Online-concordance "Perekhresni stezhky" ("The Cross-Paths"), a novel by Ivan Franko
Watermarking for Neural Radiation Fields by Invertible Neural Network
Rational Counterfactuals
Fast and Multiscale Formation of Isogeometric matrices of Microstructured Geometric Models
Orchestrating Service Migration for Low Power MEC-Enabled IoT Devices
Facial Emotion Detection Using Convolutional Neural Networks and Representational Autoencoder Units
Satisfaction in societies with opinion leaders and mediators: properties and an axiomatization
Energy-based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning
Balancing Innovation and Ethics in AI-Driven Software Development
The Burbea-Rao and Bhattacharyya centroids
Fisher-Yates Chaotic Shuffling Based Image Encryption
Adaptive Covariate Acquisition for Minimizing Total Cost of Classification
Encryption scheme based on Automorphism Group of Hermitian Function Field with Homomorphic Encryption
An objective function for STDP
Real Time Position Location & Tracking (PL&T) using Prediction Filter and Integrated Zone Finding in OFDM Channel
STMR: Spiral Transformer for Hand Mesh Reconstruction
CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory Augmentation
Efficient Channel Estimation for RIS-Aided MIMO Communications with Unitary Approximate Message Passing
Improving Visual Object Tracking through Visual Prompting
Chit-Chat or Deep Talk: Prompt Engineering for Process Mining
Advancement of Circular Economy Through Interdisciplinary Collaboration: A Bibliometric Approach
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
MetaRuleGPT: Recursive Numerical Reasoning of Language Models Trained with Simple Rules
Parameter Estimation under Gaussian Model Uncertainties by Iterative Covariance Approximation
Investigating self-supervised front ends for speech spoofing countermeasures
AsmetaF: A Flattener for the ASMETA Framework
Persistent homology advances interpretable machine learning for nanoporous materials
Embed Everything: A Method for Efficiently Co-Embedding Multi-Modal Spaces
Design of Tight Minimum-Sidelobe Windows by Riemannian Newton's Method
Partial and Simultaneous Transitive Orientations via Modular Decomposition
BoundarySqueeze: Image Segmentation as Boundary Squeezing
Tackling Coherent Noise in Quantum Computing via Cross-Layer Compiler Optimization
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities
S 2 Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
Pilot Beam Sequence Design for Channel Estimation in Millimeter-Wave MIMO Systems: A POMDP Framework
Probabilistic Model-Based Safety Analysis
A Neural Network Training Method Based on Neuron Connection Coefficient Adjustments
Continuous rational functions are deterministic regular
Steepest Gradient-Based Orthogonal Precoder For Integer-Forcing MIMO
Synthetic training data generation for deep learning based quality inspection
Performance Measurement of the Heterogeneous Network
Multi-label Sound Event Retrieval Using a Deep Learning-based Siamese Structure with a Pairwise Presence Matrix
TASP: Topology-aware Sequence Parallelism
Deep Learning Model Security: Threats and Defenses
Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions
Deciding Linear Height and Linear Size-to-Height Increase for Macro Tree Transducers
Max-Diversity Distributed Learning: Theory and Algorithms
Global Task-aware Fault Detection, Identification For On-Orbit Multi-Spacecraft Collaborative Inspection
Real Time Detection Free Tracking of Multiple Objects Via Equilibrium Optimizer
Human Action Recognition System using Good Features and Multilayer Perceptron Network
Hail to the Thief: Exploring Attacks and Defenses in Decentralised GRPO
Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System
ABS-Mamba: SAM2-Driven Bidirectional Spiral Mamba Network for Medical Image Translation
ImagineMap: Enhanced HD Map Construction with SD Maps
BitNet: Scaling 1-bit Transformers for Large Language Models
A Neural Network for the Identical Kuramoto Equation: Architectural Considerations and Performance Evaluation
Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study
Towards a Data Centric Approach for the Design and Verification of Cryptographic Protocols
FPGA Based Accelerator for Neural Networks Computation with Flexible Pipelining
Accelerating Visual-Policy Learning through Parallel Differentiable Simulation
Superiorized method for metal artifact reduction
Multi-modal Attribute Prompting for Vision-Language Models
Synchronization of P Systems with Simplex Channels
Dominating Set Knapsack: Profit Optimization on Dominating Sets
Secure synchronization of artificial neural networks used to correct errors in quantum cryptography
Stabilizing Dynamic Systems through Neural Network Learning: A Robust Approach
Deep projection networks for learning time-homogeneous dynamical systems
MIDAS: Deep learning human action intention prediction from natural eye movement patterns
GenAI for Automotive Software Development: From Requirements to Wheels
Ordered Genetic Algorithm for Entrance Dependent Vehicle Routing Problem in Farms
The Role of Information Complexity and Randomization in Representation Learning
Real-Time Model Checking for Closed-Loop Robot Reactive Planning
The Burning Number of Directed Graphs: Bounds and Computational Complexity
OpenCAMS: An Open-Source Connected and Automated Mobility Co-Simulation Platform for Advancing Next-Generation Intelligent Transportation Systems Research
Ultra-lightweight Neural Video Representation Compression
Shredder: Learning Noise to Protect Privacy with Partial DNN Inference on the Edge
Adapter is All You Need for Tuning Visual Tasks
Neural Theorem Provers Do Not Learn Rules Without Exploration
A Community-Based Sampling Method Using DPL for Online Social Network
Covering Complete Geometric Graphs by Monotone Paths
Large Alphabets and Incompressibility
Validating argument-based opinion dynamics with survey experiments
Audio tagging with noisy labels and minimal supervision
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
Multi-Carrier Multi-Rate Utility Optimization in Heterogeneous Networks via CSMA-Based Algorithms
Counting vertices of integer polytopes defined by facets
Learning physics-based reduced-order models from data using nonlinear manifolds
Fully Unsupervised Feature Alignment for Critical System Health Monitoring with Varied Operating Conditions
ConvGenVisMo: Evaluation of Conversational Generative Vision Models
Efficient Public Verification of Private ML via Regularization
Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes
Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images
Towards Learning Efficient Maneuver Sets for Kinodynamic Motion Planning
The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics on Online Social Networks
Two Tricks to Improve Unsupervised Segmentation Learning
Higher-Order Spectral Element Methods for Electromagnetic Modeling of Complex Anisotropic Waveguides
HADES: Hardware/Algorithm Co-design in DNN accelerators using Energy-efficient Approximate Alphabet Set Multipliers
SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting
Ensemble Predicate Decoding for Unbiased Scene Graph Generation
Spot that Bird: A Location Based Bird Game
Multiple Packing: Lower and Upper Bounds
WgPy: GPU-accelerated NumPy-like array library for web browsers
Forecasting When to Forecast: Accelerating Diffusion Models with Confidence-Gated Taylor
Spoken language change detection inspired by speaker change detection
Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations
ICCV23 Visual-Dialog Emotion Explanation Challenge: SEU_309 Team Technical Report
pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video
Hybrid Quantum-Classical Machine Learning with PennyLane: A Comprehensive Guide for Computational Research
Hybrid Federated Learning: Algorithms and Implementation
Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix
Architecture Selection via the Trade-off Between Accuracy and Robustness
Rate of Prefix-free Codes in LQG Control Systems
On Psychometric Instruments in Software Engineering Research: An Ongoing Study
CTRLS: Chain-of-Thought Reasoning via Latent State-Transition
Searching in trees with heavy group sets of fixed size
LTL Synthesis on Infinite-State Arenas defined by Programs
An Optimal Density Bound for Discretized Point Patrolling
Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate
Modelling and Design of a Microstrip Band-Pass Filter Using Space Mapping Techniques
Reject or Not?: A Benchmark for Voice Assistant Query Rejection in Smart Home Scenario and an Improved Method Based on LLMs
AI for Agriculture: the Comparison of Semantic Segmentation Methods for Crop Mapping with Sentinel-2 Imagery
Neuro-Fuzzy Algorithmic (NFA) Models and Tools for Estimation
Minimum distance for toric complete intersection codes
PegasusFlow: Parallel Rolling-Denoising Score Sampling for Robot Diffusion Planner Flow Matching
The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples
A Feature-based Classification Technique for Answering Multi-choice World History Questions
Probabilistic Fréchet Means and Statistics on Vineyards
Inherently Interpretable Tree Ensemble Learning
Tight Approximation Algorithms for Two Dimensional Guillotine Strip Packing
Improved Sleeping Bandits with Stochastic Actions Sets and Adversarial Rewards
FML-based Prediction Agent and Its Application to Game of Go
SemiFL: Communication Efficient Semi-Supervised Federated Learning with Unlabeled Clients
Sim-To-Real Transfer for Miniature Autonomous Car Racing
Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training
K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model
Relphormer: Relational Graph Transformer for Knowledge Graph Representation
Enhancing Generalization of Invisible Facial Privacy Cloak via Gradient Accumulation
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning
Spike up Prime Interest in Science and Technology through Constructionist Games
Sign Patterns of Inverse Doubly-Nonnegative Matrices
Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization
Flow Matching in Latent Space
Social Centrality using Network Hierarchy and Community Structure
Fully Learnable Neural Reward Machines
The whys and hows of conditioning of DG plane wave Trefftz methods: a single element
The logic of message passing
Design and Implementation of Path Trackers for Ackermann Drive based Vehicles
Goal-guided Generative Prompt Injection Attack on Large Language Models
Near Threshold Computation of Partitioned Ring Learning With Error (RLWE) Post Quantum Cryptography on Reconfigurable Architecture
NNP/MM: Fast molecular dynamics simulations with machine learning potentials and molecular mechanics
A numerically efficient output-only system-identification framework for stochastically forced self-sustained oscillators
Time-Varying Coverage Control: A Distributed Tracker-Planner MPC Framework
Deep Reinforcement Learning with Decorrelation
Traditional Machine Learning and Deep Learning Models for Argumentation Mining in Russian Texts
N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations
LePaRD: A Large-Scale Dataset of Judges Citing Precedents
FlexState: Enabling Innovation in Network Function State Management
Characterizing disruptions in online gaming behavior following software patches
Farm-wide virtual load monitoring for offshore wind structures via Bayesian neural networks
Towards Smart Radio Environment for Wireless Communications via Intelligent Reflecting Surfaces: A Comprehensive Survey
Training Convolutional Neural Networks with the Forward-Forward algorithm
Analyzing a Carceral Algorithm used by the Pennsylvania Department of Corrections
Multimodal Interaction Modeling via Self-Supervised Multi-Task Learning for Review Helpfulness Prediction
Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation
Decoupling Safety into Orthogonal Subspace: Cost-Efficient and Performance-Preserving Alignment for Large Language Models
A Simple and Efficient Stochastic Rounding Method for Training Neural Networks in Low Precision
Semantic Labeling Using a Deep Contextualized Language Model
STRIDE along Spectrahedral Vertices for Solving Large-Scale Rank-One Semidefinite Relaxations
CO-STAR: Conceptualisation of Stereotypes for Analysis and Reasoning
Convergence of Statistical Estimators via Mutual Information Bounds
Building Application-Specific Overlays on FPGAs with High-Level Customizable IPs
Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs
Robust Linear Transceiver Design for Multi-Hop Non-Regenerative MIMO Relaying Systems
Mitigating Biological Epidemic on Heterogeneous Social Networks
Pre-trained Mixed Integer Optimization through Multi-variable Cardinality Branching
How to Train Your Robust Human Pose Estimator: Pay Attention to the Constraint Cue
Untrained networks for compressive lensless photography
Scalable, Simulation-Guided Compliant Tactile Finger Design
An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training
Semantically Controllable Scene Generation with Guidance of Explicit Knowledge
Designing Programming Exercises from Board Games
Real-time Surgical Instrument Segmentation in Video Using Point Tracking and Segment Anything
A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic Platforms
An Order-aware Dataflow Model for Extracting Shell Script Parallelism
A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network
Graph Descriptive Order Improves Reasoning with Large Language Model
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning
Improving Hospital Risk Prediction with Knowledge-Augmented Multimodal EHR Modeling
Effect of trip attributes on ridehailing driver trip request acceptance
The Evolution of Altruistic Rationality Provides a Solution to Social Dilemmas via Rational Reciprocity
Text-Guided Diffusion Model-based Generative Communication for Wireless Image Transmission
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating
Some Network Optimization Models under Diverse Uncertain Environments
Communication Complexity of Common Randomness Generation with Isotropic States
A Labeling Task Design for Supporting Algorithmic Needs: Facilitating Worker Diversity and Reducing AI Bias
Feedback control of plant-soil autotoxicity via pulse-width modulation
Simulating 3-symbol Turing machines with SIMD||DNA
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
Fine Hand Segmentation using Convolutional Neural Networks
A Hybrid Advertising Mode for Device Discovery in Bluetooth Low Energy Networks
Do log factors matter? On optimal wavelet approximation and the foundations of compressed sensing
Time delay multi-feature correlation analysis to extract subtle dependencies from EEG signals
FQP 2.0: Industry Trend Analysis via Hierarchical Financial Data
An Effect of Spatial Filtering in Visualization of Coronary Arteries Imaging
Improved Sampling-to-Counting Reductions in High-Dimensional Expanders and Faster Parallel Determinantal Sampling
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
Toybox: A Suite of Environments for Experimental Evaluation of Deep Reinforcement Learning
Discovering Unwarranted Associations in Data-Driven Applications with the FairTest Testing Toolkit
Multi-hop Evidence Pursuit Meets the Web: Team Papelo at FEVER 2024
A model-driven approach for composing SAWSDL semantic Web services
Risk Aware Belief-dependent Constrained POMDP Planning
On entropy production of repeated quantum measurements III. Quantum detailed balance
SpyChain: Multi-Vector Supply Chain Attacks on Small Satellite Systems
A Review on Serious Games for Exercise Rehabilitation
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection
Multi-Label Sampling based on Local Label Imbalance
Formalising the Continuous/Discrete Modeling Step
Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length
FIDS: Fuzzy Intrusion Detection System for simultaneous detection of DoS/DDoS attacks in Cloud computing
Trees over Infinite Structures and Path Logics with Synchronization
Explainable AI (XAI) in Biomedical Signal and Image Processing: Promises and Challenges
Active Preference Elicitation via Adjustable Robust Optimization
Dishing Out DoS: How to Disable and Secure the Starlink User Terminal
Limitations and Biases in Facial Landmark Detection - An Empirical Study on Older Adults with Dementia
Improving precision of A/B experiments using trigger intensity
Enhancing Adversarial Resistance in LLMs with Recursion
Fog Computing based Radio Access Networks: Issues and Challenges
A Survey and Taxonomy of Urban Traffic Management: Towards Vehicular Networks
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
VLM-PAR: A Vision Language Model for Pedestrian Attribute Recognition
Long Concept Query on Conceptual Taxonomies
The power and limitations of learning quantum dynamics incoherently
PLD+: Accelerating LLM inference by leveraging Language Model Artifacts
Privacy in RFID and mobile objects
S 2 M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection
Adversarial Prompting for Black Box Foundation Models
Using Entity Relations for Opinion Mining of Vietnamese Comments