MMODELYST
Literature

Papers

Showing 1–27 of 27 papers matching “Aria”
PaperTopicAuthorsPublishedHF ▲
The Chain Holds, the Answer Folds: Trace-Answer Dissociation in Reasoning Models Under Adversarial PressureData & benchmarksYubo Li +2May 27, 20261
Improving Adversarial Robustness of Attribution via Implicit RegularizationData & benchmarksAmir Mehrpanah +2May 28, 2026
FormInv: A Measurement Protocol for Semantic Invariance in Mathematical Reasoning BenchmarksData & benchmarksNishal Thomas +1May 27, 2026
On the Equivariant Learning of the $Q$-tensor Order ParameterData & benchmarksJulia Navarro +1May 26, 2026
Invariant-Based Weight Sharing for Message PassingData & benchmarksFlorian SeiffarthMay 25, 2026
SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial AttackData & benchmarksHan Liu +7May 24, 2026
Private Adaptive Covariance Estimation via Gaussian Graphical ModelsData & benchmarksCecilia Ferrando +4May 22, 2026
Self-supervised Adversarial Purification for Graph Neural NetworksData & benchmarksWoohyun Lee +1May 22, 2026
The Value of Covariance Matching in Gaussian DDPMs and the Lanczos SamplerData & benchmarksMd Sahil Akhtar +3May 21, 2026
A Posterior-Predictive Variance Decomposition for Epistemic and Aleatoric Uncertainty in Wind Power ForecastingData & benchmarksYinsong Chen +2May 21, 2026
CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series ClassificationData & benchmarksFan Zhang +2May 21, 2026
LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial HardeningData & benchmarksMing Zhang +15May 19, 2026
A Hybrid Gaussian Process Regression Framework for Stable Volatility-Covariance Estimation: Evidence from Global Equity IndicesData & benchmarksUjjwala VadrevuMay 17, 2026
SurF: A Generative Model for Multivariate Irregular Time Series ForecastingData & benchmarksMohammad R. Rezaei +2May 13, 2026
Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte CarloData & benchmarksEjaaz Merali +4May 13, 2026
Investigating simple target-covariate relationships for Chronos-2 and TabPFN-TSData & benchmarksGaspard Berthelier +6May 12, 2026
Seirênes: Adversarial Self-Play with Evolving Distractions for LLM ReasoningData & benchmarksChi Zhang +5May 12, 2026
Formally Verifying Analog Neural Networks Under Process Variations Using Polynomial ZonotopesData & benchmarksYasmine Abu-Haeyeh +3May 11, 2026
Fix the Loss, Not the Radius: Rethinking the Adversarial Perturbation of Sharpness-Aware MinimizationData & benchmarksJinping Wang +3May 11, 2026
One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series ClassificationData & benchmarksMengzhou Gao +2May 11, 2026
Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance ReductionData & benchmarksZhirayr Tovmasyan +2May 9, 2026
METBRA25Y: Brazil Surface Meteorology Archive with Harmonized Variables and Quality ControlData & benchmarksMatheus Lima Castro +2May 9, 2026
Practical Wi-Fi-based Motion Recognition Under Variable Traffic PatternsData & benchmarksGuolin Yin +3May 8, 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
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