MMODELYST
Literature

Papers

Showing 301–344 of 344 papers matching “Aria”
PaperTopicAuthorsPublishedHF ▲
Neural-Actuarial Longevity Forecasting: Anchoring LSTMs for Explainable Risk ManagementSafety & alignmentDavide RindoriMay 7, 2026
Covariate Balancing and Riesz Regression Should Be Guided by the Neyman Orthogonal Score in Debiased Machine LearningSafety & alignmentMasahiro KatoMay 7, 2026
Data-Driven Covariate Selection for Nonparametric and Cycle-Agnostic Causal Effect EstimationSpeech & audioAna Leticia Garcez Vicente +2May 7, 2026
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense EvaluationsImage & video genYuan Du +2May 7, 2026
Eliciting associations between clinical variables from LLMs via comparison questions across populationsSafety & alignmentFabian Kabus +5May 7, 2026
Who and What? Using Linguistic Features and Annotator Characteristics to Analyze Annotation VariationVision & multimodalMaximilian Maurer +2May 7, 2026
Band Together: Untargeted Adversarial Training with Multimodal Coordination against Evasion-based Promotion AttacksVision & multimodalGuanmeng Xian +2May 7, 2026
Taming the Entropy Cliff: Variable Codebook Size Quantization for Autoregressive Visual GenerationVision & multimodalBowen Zheng +4May 7, 2026
Constrained Contextual Bandits with Adversarial ContextsOtherDhruv Sarkar +1May 7, 2026
Mean Mode Screaming: Mean--Variance Split Residuals for 1000-Layer Diffusion TransformersImage & video genPengqi LuMay 7, 2026
Beyond Accuracy: Policy Invariance as a Reliability Test for LLM Safety JudgesAgentsShihao Weng +2May 7, 2026
Estimating the Black-box LLM Uncertainty with Distribution-Aligned Adversarial DistillationSafety & alignmentHuizi Cui +4May 7, 2026
RVPO: Risk-Sensitive Alignment via Variance RegularizationReinforcement learningIvan Montero +2May 7, 2026
Variational Smoothing and Inference for SDEs from Sparse Data with Dynamic Neural FlowsImage & video genYu Wang +1May 7, 2026
A Simple State Space Model Excels at Multivariate Time Series ClassificationData & benchmarksHassan Saadatmand +3May 7, 2026
Adversarial Graph Neural Network Benchmarks: Towards Practical and Fair EvaluationData & benchmarksTran Gia Bao Ngo +4May 7, 2026
Permutation-preserving Functions and Neural Vecchia Covariance KernelsEfficiency & systemsJian Cao +2May 6, 2026
Information Theoretic Adversarial Training of Large Language ModelsSafety & alignmentYiwei Zhang +5May 6, 2026
Transformed Latent Variable Multi-Output Gaussian ProcessesEfficiency & systemsXiaoyu Jiang +4May 6, 2026
Delving into Non-Exchangeability for Conformal Prediction in Graph-Structured Multivariate Time SeriesData & benchmarksRuichao Guo +5May 6, 2026
Jacobian-Velocity Bounds for Deployment Risk Under Covariate DriftData & benchmarksJonathan R. LandersMay 6, 2026
Learngene Search Across Multiple Datasets for Building Variable-Sized ModelsVision & multimodalBoyu Shi +5May 6, 2026
Dissociating spatial frequency reliance from adversarial robustness advantages in neurally guided deep convolutional neural networksVision & multimodalZhenan Shao +4May 6, 2026
Covariance-Aware Goodness for Scalable Forward-Forward LearningSafety & alignmentXiaoyi Jiang +2May 5, 2026
Laundering AI Authority with Adversarial ExamplesRoboticsJie Zhang +3May 5, 2026
Normalization Equivariance for Arbitrary Backbones, with Application to Image DenoisingLLMs & reasoningYoussef Saied +1May 5, 2026
On Computing Total Variation Distance Between Mixtures of Product DistributionsOtherWeiming Feng +3May 5, 2026
Amortized Variational Inference for Joint Posterior and Predictive Distributions in Bayesian Uncertainty QuantificationEfficiency & systemsNan Feng +1May 5, 2026
Adversarial Effects on Expressibility and Trainability in Distributed Variational Quantum AlgorithmsSafety & alignmentAbhishek Sadhu +1May 5, 2026
Random test functions, $H^{-1}$ norm equivalence, and stochastic variational physics-informed neural networksScience & bioDiego MarcondesMay 5, 2026
GRIFDIR: Graph Resolution-Invariant FEM Diffusion Models in Function Spaces over Irregular DomainsImage & video genJames Rowbottom +5May 5, 2026
Real-Time Evaluation of Autonomous Systems under Adversarial AttacksReinforcement learningAdithya Mohan +3May 5, 2026
Quantum Hierarchical Reinforcement Learning via Variational Quantum CircuitsAgentsYu-Ting Lee +2May 5, 2026
TsallisPGD: Adaptive Gradient Weighting for Adversarial Attacks on Semantic SegmentationVision & multimodalAlexander Matyasko +3May 5, 2026
A Fast Model Counting Algorithm for Two-Variable Logic with Counting and Modulo Counting QuantifiersEfficiency & systemsShixin Sun +4May 5, 2026
Distributed Learning with Adversarial Gradient PerturbationsTheoryNawapon Sangsiri +1May 5, 2026
Augmented Equivariant Mesh Networks for Anatomical SegmentationVision & multimodalDaniel SaragihMay 4, 2026
PIIGuard: Mitigating PII Harvesting under Adversarial SanitizationAgentsMingshuo Liu +2May 4, 2026
Distributed Deep Variational Approach for Privacy-preserving Data ReleaseEfficiency & systemsZahir Alsulaimawi +1May 4, 2026
ARIS: Autonomous Research via Adversarial Multi-Agent CollaborationVision & multimodalRuofeng Yang +2May 4, 2026
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion ModelsImage & video genFengqi Zhu +10May 25, 2025
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech DetectionSpeech & audioThomas Hartvigsen +5Mar 17, 2022
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation RecognitionVision & multimodalKaiyu Yang +2Aug 7, 2019
WinoGrande: An Adversarial Winograd Schema Challenge at ScaleSafety & alignmentKeisuke Sakaguchi +3Jul 24, 2019
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