yusuke1997/dblp-id-title huggingface dataset:
DraMon: Predicting memory bandwidth usage of multi-threaded programs with high accuracy and low overhead
Design of a Parallel Vector Access Unit for SDRAM Memory Systems
TCOR: A Tile Cache with Optimal Replacement
Using Lamport Clocks to Reason about Relaxed Memory Models
Massively Parallel Array Processor for Logic, Fault, and Design Error Simulation
DR-STRaNGe: End-to-End System Design for DRAM-based True Random Number Generators
Dynamic Cluster Assignment Mechanisms
Revolver: Processor architecture for power efficient loop execution
CIDR: A Cost-Effective In-Line Data Reduction System for Terabit-Per-Second Scale SSD Arrays
Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting
STM: Cloning the spatial and temporal memory access behavior
Beyond block I/O: Rethinking traditional storage primitives
Heterogeneous memory architectures: A HW/SW approach for mixing die-stacked and off-package memories
The Impact of Shared-Cache Clustering in Small-Scale Shared-Memory Multiprocessors
A low power software-defined-radio baseband processor for the Internet of Things
Accelerate GPU Concurrent Kernel Execution by Mitigating Memory Pipeline Stalls
Efficient and Balanced Adaptive Routing in Two-Dimensional Meshes
Analyzing Topology Parameters for Achieving Energy-Efficient k-ary n-cubes
EXMA: A Genomics Accelerator for Exact-Matching
Warp-level divergence in GPUs: Characterization, impact, and mitigation
FPGA Based Custom Computing Machines for Irregular Problems
A Hardware-Software Design Framework for SpMV Acceleration with Flexible Access Pattern Portfolio
Dynamic Branch Prediction with Perceptrons
Booster: Reactive core acceleration for mitigating the effects of process variation and application imbalance in low-voltage chips
Ariadne: A Hotness-Aware and Size-Adaptive Compressed Swap Technique for Fast Application Relaunch and Reduced CPU Usage on Mobile Devices
Cold Boot Attacks are Still Hot: Security Analysis of Memory Scramblers in Modern Processors
Performance Evaluation of Dynamic Reconfiguration in High-Speed Local Area Networks
Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network
In-network traffic regulation for Transactional Memory
18th IEEE International Symposium on High Performance Computer Architecture, HPCA 2012, New Orleans, LA, USA, 25-29 February, 2012
Stellar: Energy-Efficient and Low-Latency SNN Algorithm and Hardware Co-Design with Spatiotemporal Computation
SpecFL: An Efficient Speculative Federated Learning System for Tree-based Model Training
Supporting x86-64 address translation for 100s of GPU lanes
GraphR: Accelerating Graph Processing Using ReRAM
Exploiting Inter-block Entropy to Enhance the Compressibility of Blocks with Diverse Data
A Non-Inclusive Memory Permissions architecture for protection against cross-layer attacks
Push Multicast: A Speculative and Coherent Interconnect for Mitigating Manycore CPU Communication Bottleneck
Improving write operations in MLC phase change memory
Design Issues and Tradeoffs for Write Buffers
Increasing the cache efficiency by eliminating noise
Best-offset hardware prefetching
Shortcut Mining: Exploiting Cross-Layer Shortcut Reuse in DCNN Accelerators
Effective Context-Sensitive Memory Dependence Prediction
HILP: Accounting for Workload-Level Parallelism in System-on-Chip Design Space Exploration
Bingo Spatial Data Prefetcher
Warped register file: A power efficient register file for GPGPUs
Prediction of CPU idle-busy activity pattern
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
Cache coherence for GPU architectures
Combining Static and Dynamic Branch Prediction to Reduce Destructive Aliasing
FinePack: Transparently Improving the Efficiency of Fine-Grained Transfers in Multi-GPU Systems
An Efficient Programmable 10 Gigabit Ethernet Network Interface Card
Address Translation Mechanisms In Network Interfaces
ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI
BoomGate: Deadlock Avoidance in Non-Minimal Routing for High-Radix Networks
Runnemede: An architecture for Ubiquitous High-Performance Computing
Dynamic hardware-assisted software-controlled page placement to manage capacity allocation and sharing within large caches
ARTEMIS: Agile Discovery of Efficient Real-Time Systems-on-Chips in the Heterogeneous Era
Petascale Computing Research Challenges - A Manycore Perspective
Investigating the role of modality and training objective on representational alignment between transformers and the brain
Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations
What Representational Similarity Measures Imply about Decodable Information
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations
Fast Imagic: Solving Overfitting in Text-guided Image Editing via Disentangled UNet with Forgetting Mechanism and Unified Vision-Language Optimization
Preface of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability
On the cognitive alignment between humans and machines
Representation Learning of Structured Data for Medical Foundation Models
Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing
Correlating Variational Autoencoders Natively For Multi-View Imputation
Preface of UniReps: the First Workshop on Unifying Representations in Neural Models
Hybrid Dynamic High-Order Functional Correlations and Divisive Normalization for Improved Classification of Schizophrenia and Bipolar Disorder
A sparse null code emerges in deep neural networks
Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, Vancouver, Canada, 14 December 2024
On Transferring Expert Knowledge from Tabular Data to Images
DisCoV: Disentangling Time Series Representations via Contrastive based l-Variational Inference
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 15 December 2023, Ernest N. Morial Convention Center, New Orleans, USA
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks
Hypernetworks for image recontextualization
Joint Learning for Visual Reconstruction from the Brain Activity: Hierarchical Representation of Image Perception with EEG-Vision Transformer
ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development
Comparing Representations in Static and Dynamic Vision Models to the Human Brain
Multimodal decoding of human brain activity into images and text
Decision-margin consistency: a principled metric for human and machine performance alignment
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks
Semi-Ensemble: A Simple Approach Over-parameterize Model Interpolation
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation
Visual Expertise Explains Image Inversion Effects
Small-scale adversarial perturbations expose differences between predictive encoding models of human fMRI responses
Unsupervised Learning of Categorical Structure
A General Method for Testing Bayesian Models using Neural Data
Supervising Variational Autoencoder Latent Representations with Language
Equivalence between representational similarity analysis, centered kernel alignment, and canonical correlations analysis
Role Taxonomy of Units in Deep Neural Networks
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry
Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations
Delays in generalization match delayed changes in representational geometry
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning
Adapter to facilitate Foundation Model Communication for DLO Instance Segmentation
NEUCORE: Neural Concept Reasoning for Composed Image Retrieval
What Mechanisms Does Knowledge Distillation Distill?
Relative Representations: Topological and Geometric Perspectives
Conic Activation Functions
On the Direct Alignment of Latent Spaces
Federated GNNs for EEG-Based Stroke Assessment
Vision and language representations in multimodal AI models and human social brain regions during natural movie viewing
Object-Centric Semantic Vector Quantization
Linearly Structured World Representations in Maze-Solving Transformers
Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations
NoPose-NeuS: Jointly Optimizing Camera Poses with Neural Implicit Surfaces for Multi-view Reconstruction
Comparing neural models using their perceptual discriminability predictions
Conformal testing in a binary model situation
Conformal prediction in manifold learning
Interpretable and specialized conformal predictors
Conformalized Adversarial Attack Detection for Graph Neural Networks
Mondrian conformal regressors
Constructing normalized nonconformity measures based on maximizing predictive efficiency
Calibrating multi-class models
Split Conformal Prediction under Data Contamination
Training conformal predictors
Communication-efficient Conformal Prediction for Distributed Datasets
The Venn-ABERS Testing for Change-Point Detection
High Probability Risk Control Under Covariate Shift
On efficiency of Learning Under Privileged Information
Privacy-Preserving Conformal Prediction Under Local Differential Privacy
Conformal Prediction with Partially Labeled Data
Transformer-based conformal predictors for paraphrase detection
Sequential Conformal Risk Control for Safe Railway Signaling Detection
On the Calibration of Aggregated Conformal Predictors
Ensembles based on conformal instance transfer
Evaluating Machine Translation Quality with Conformal Predictive Distributions
Conformal Decision Rules
Stacked conformal prediction
Approximating Score-based Explanation Techniques Using Conformal Regression
Conformal Association Rule Mining (CARM): A novel technique for data error detection and probabilistic correction
The 13th Symposium on Conformal and Probabilistic Prediction with Applications, 9-11 September 2024, Politecnico di Milano, Milano, Italy
Conformal and Probabilistic Prediction with Applications, 24-26 August 2022, Brighton, UK
Conformal and Probabilistic Prediction and Applications, 8-10 September 2021, Virtual Event
Exchangeability martingales for selecting features in anomaly detection
Evaluation of updating strategies for conformal predictive systems in the presence of extreme events
Calibrating Without Labels: Source-Free Conformal Prediction Using Pseudo-Labels
Approximation to object conditional validity with inductive conformal predictors
Conformal Prediction of Classifiers with Many Classes based on Noisy Labels
Conformal Prediction for Reliable Stock Selections
The Uncertain Object: Application of Conformal Prediction to Aerial and Satellite Images
Fast conformal classification using influence functions
On training locally adaptive CP
Preferent compression for tight generalization bounds
Flexible and Systematic Uncertainty Estimation with Conformal Prediction via the MAPIE library
Well-Calibrated Rule Extractors
Pruning neural networks for inductive conformal prediction
Online Learning with Continuous Ranked Probability Score
A Deep Neural Network Conformal Predictor for Multi-label Text Classification
Collective Outlier Detection and Enumeration with Conformalized Closed Testing
Multi-label Conformal Prediction with a Mahalanobis Distance Nonconformity Measure
Class-Conditional Robust Conformal Prediction for Structured Perturbations
Conformal Prediction for Uncertainty Estimation in Drug-Target Interaction Prediction
Conformal prediction of small-molecule drug resistance in cancer cell lines
Conformal uncertainty sets for robust optimization
Confidence Classifiers with Guaranteed Accuracy or Precision
Conformal time series decomposition with component-wise exchangeability
Conformal Multistep-Ahead Multivariate Time-Series Forecasting
Recommendation Systems with Distribution-Free Reliability Guarantees
Distribution-free Uncertainty Quantification for Contour Objects with Application to Tumour Segmentation in PET Imaging
Cover your cough: detection of respiratory events with confidence using a smartwatch
Conformal predictor combination using Neyman-Pearson Lemma
Uncertainty Quantification for Metamodels
Assessing Explanation Quality by Venn Prediction
Counterfactual Explanations for Conformal Prediction Sets
Multi-label Classification under Uncertainty: A Tree-based Conformal Prediction Approach
House Price Prediction with Confidence: Empirical Results from the Norwegian Market
Provably Efficient and Robust Conformal Prediction under a Realistic Threat Model
Investigating the Contribution of Privileged Information in Knowledge Transfer LUPI by Explainable Machine Learning
Anytime-Valid Tests of Group Invariance through Conformal Prediction
Conformal Classification with New Labels
Confidence machine learning for cutting tool life prediction
Physics-Aware Conformal Prediction for Deep Learning-based Wheelchair Local Navigation
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals
Aggregating strategies for long-term forecasting
Cough-based COVID-19 detection with audio quality clustering and confidence measure based learning
Entropy Reweighted Conformal Classification
Nonparametric predictive distributions based on conformal prediction
Shapley-value based inductive conformal prediction
Copula-based conformal prediction for object detection: a more efficient approach
A Betting Function for addressing Concept Drift with Conformal Martingales
Fairness Considerations for Conformal Classification
Synergy conformal prediction
Conformal Prediction is Robust to Dispersive Label Noise
BERT-based conformal predictor for sentiment analysis
Joint Prediction of Chronic Conditions Onset: Comparing Multivariate Probits with Multiclass Support Vector Machines
Tensor-Train Kernel Learning for Gaussian Processes
Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2025, 10-12 September 2025, London, UK
How do the performance of a Conformal Predictor and its underlying algorithm relate?
Online Aggregation of Unbounded Signed Losses Using Shifting Experts
Distribution-free Conformal Prediction for Ordinal Classification
Multi-class Classification with Reject Option and Performance Guarantees using Conformal Prediction
Evaluation of conformal-based probabilistic forecasting methods for short-term wind speed forecasting
Conformal Regression with Reject Option
Hidden Markov Models with Confidence
Venn predictors for well-calibrated probability estimation trees
Conformal multi-hop relation detection and classification in knowledge graphs
Conformal and Probabilistic Prediction with Applications, 13-15 September 2023, Limassol, Cyprus
A Bayesian framework for calibrating Gaussian process predictive distributions
A Conformal Martingales Ensemble Approach for addressing Concept Drift
Anomalous Edge Detection in Edge Exchangeable Social Network Models
CoPAL: Conformal Prediction in Active Learning An Algorithm for Enhancing Remaining Useful Life Estimation in Predictive Maintenance
Detect Adversarial Examples with Exchangeability Martingale
Retrain or not retrain: conformal test martingales for change-point detection
Enterprise Disk Drive Scrubbing Based on Mondrian Conformal Predictors
Testing Marginal and Conditional Coverage in Conformal Prediction for Non-Stationary Time Series via Value-at-Risk Backtesting
Asymptotic Properties of Nonparametric Estimation on Manifold
Online aggregation of conformal predictive systems
Evaluation of a Variance-Based Nonconformity Measure for Regression Forests
Conformal calibrators
Coverage vs Acceptance-Error Curves for Conformal Classification Models
Anomaly Detection in Multivariate Profiles with Conformal Bayesian Inference
A Metric to Improve the Robustness of Conformal Predictors in the Presence of Error Bars
Asymptotic uniqueness in long-term prediction
Conformal testing: binary case with Markov alternatives
Conformal Anomaly Detection for Functional Data with Elastic Distance Metrics
Conformal Prediction for Automatic Face Recognition
A probabilistic scaling approach to conformal predictions in binary image classification
Hierarchical Copula-based Conformal Prediction and Exact Validity via Nested Prediction Regions
Predicting with Confidence from Survival Data
Clustered Conformal Prediction for the Housing Market
Neural Networks based Conformal Prediction for Pipeline Structural Response
Conformal Stability Measure of Feature Selection Algorithms
Conformal feature-selection wrappers for instance transfer
Conformal and Probabilistic Prediction and Applications, COPA 2020, 9-11 September 2020, Virtual Event
Conformal and Probabilistic Prediction with Applications - 5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings
Tutorial on using Conformal Predictive Systems in KNIME
Method of Learning Malware Behavior Scripts by Sequential Pattern Mining
Using inductive conformal martingales for addressing concept drift in data stream classification
7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands
Applying the conformal prediction paradigm for the uncertainty quantification of an end-to-end automatic speech recognition model (wav2vec 2.0)
Comparing Performance of Different Inductive and Transductive Conformal Predictors Relevant to Drug Discovery
Abstracts of invited talks and posters
Conformal Predictors for Compound Activity Prediction
Prediction of Energy Consumption with Inductive Venn-Abers Predictive Distribution
Explaining Set-Valued Predictions: SHAP Analysis for Conformal Classification
Calibration of Natural Language Understanding Models with Venn–ABERS Predictors
Self Learning using Venn-Abers predictors
Binary Relevance Multi-label Conformal Predictor
Conformal stacked weather forecasting
Combination of Conformal Predictors for Classification
Batch mode active learning for mitotic phenotypes using conformal prediction
Coreset-based Conformal Prediction for Large-scale Learning
Reliable Household Demographic Classification
ConForME: Multi-horizon conditional conformal time series forecasting
Conformal Prediction of Disruptions from Scratch: Application to an ITER Scenario
Conformal Credal Self-Supervised Learning
Conformal Predictive Systems Under Covariate Shift
Conformal multi-target regression using neural networks
Data-driven Reachability using Christoffel Functions and Conformal Prediction
Reliable Change Point Detection for ACGH data
Extended Regression on Manifolds Estimation
Evaluating different approaches to calibrating conformal predictive systems
Testing by Betting for Anomaly Detection in Rental E-Scooter GNSS Traces
CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence
CP-RA k EL: Improving Random k -labelsets with Conformal Prediction for Multi-label Classification
Conformal and Probabilistic Prediction and Applications, COPA 2019, 9-11 September 2019, Golden Sands, Bulgaria
Class-wise confidence for debt prediction in real estate management: discussion and lessons learned from an application
Conformal Survival Bands for Risk Screening under Right-Censoring
Mondrian Predictive Systems for Censored Data
online-cp: a Python Package for Online Conformal Prediction, Conformal Predictive Systems and Conformal Test Martingales
Distribution-free risk assessment of regression-based machine learning algorithms
Conformal prediction for hypersonic flight vehicle classification
Calibrated Large Language Models for Binary Question Answering
Fast probabilistic prediction for kernel SVM via enclosing balls
Conformal changepoint detection in continuous model situations
Variable Fidelity Regression Using Low Fidelity Function Blackbox and Sparsification
Ellipsoidal conformal inference for Multi-Target Regression
Aleatoric and Epistemic Uncertainty in Conformal Prediction
Exact and Approximate Conformal Inference for Multi-Output Regression
Practical investment with the long-short game
Venn-Abers predictors for improved compound iterative screening in drug discovery
A conformalized density-based clustering analysis of malicious traffic for botnet detection
Learning with Intelligent Teacher
Incorporating Structural Penalties in Multi-label Conformal Prediction
Uncertainty Estimation for Single-cell Label Transfer
Inductive Venn-Abers predictive distribution
Temporal Multimodal Probabilistic Transformers for Safety Monitoring in Autonomous Driving Systems
Competitive Online Regression under Continuous Ranked Probability Score
Using Conformal Prediction to Prioritize Compound Synthesis in Drug Discovery
Tailoring the Tails: Enhancing the Reliability of Probabilistic Load Forecasts
Online NoVaS Conformal Volatility Prediction
Inductive Conformal Martingales for Change-Point Detection
Classication of aerosol particles using inductive conformal prediction
Individualised Counterfactual Examples Using Conformal Prediction Intervals
Improving Reliable Probabilistic Prediction by Using Additional Knowledge
A histogram based betting function for conformal martingales
Inductive Venn-Abers Predictive Distributions: New Applications & Evaluation
Conformal Risk Control for Pulmonary Nodule Detection
Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansions
A non-conformity approach towards post-prostatectomy metastasis estimation using a multicentre prostate cancer database
Online Portfolio Hedging with the Weak Aggregating Algorithm
Transfer learning for the probabilistic classification vector machine
Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling
Application of conformal prediction interval estimations to market makers' net positions
On the Integration of Cross-Conformal Prediction, Ensembles, and Sampling for Uncertainty Quantification in One-Class Anomaly Detection
SCOT Approximation, Training and Asymptotic Inference
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets
Decision Trees for Instance Transfer
Conformal prediction and its integration within visual analytics toolbox
Protected probabilistic classification
Split knowledge transfer in learning under privileged information framework
Variable Sparing of Disk Drives Based on Failure Analysis
A Conformal Martingales Approach for Recurrent Concept Drift
The power of forgetting in statistical hypothesis testing
Uncertain data in learning: challenges and opportunities
Venn-Abers Testing of Exchangeability
Tutorial for using conformal prediction in KNIME
Multi-class probabilistic classification using inductive and cross Venn-Abers predictors
A lower bound for a prediction algorithm under the Kullback-Leibler game
Applying Conformal Prediction to Control an Exoskeleton
Universally Consistent Conformal Predictive Distributions
Adaptive Conformal Inference for Multi-Step Ahead Time-Series Forecasting Online
PUNCC: a Python Library for Predictive Uncertainty Calibration and Conformalization
Complete statistical theory of learning: learning using statistical invariants
A Review of Nonconformity Measures for Conformal Prediction in Regression
Enhancing Conformal Prediction Using E-Test Statistics
Impact of model-agnostic nonconformity functions on efficiency of conformal classifiers: an extensive study
Detecting seizures in EEG recordings using conformal prediction
Reverse Conformal Approach for On-line Experimental Design
Conformal and Probabilistic Prediction and Applications, COPA 2017, 13-16 June 2017, Stockholm, Sweden
Conformal Predictive Decision Making: A Comparative Study with Bayesian and Point-Predictive Methods
Applications of Conformal Regression on Real-world Industrial Use Cases using Crepes and MAPIE
An Uncertainty-Aware Sequential Approach for Predicting Response to Neoadjuvant Therapy in Breast Cancer
Validity and efficiency of the conformal CUSUM procedure
Testing Exchangeability between Real and Synthetic Data