MMODELYST
Literature

Papers

Showing 1–38 of 38 papers matching “Aria”
PaperTopicAuthorsPublishedHF ▲
Variable-Width TransformersEfficiency & systemsZhaofeng Wu +5Jun 16, 202615
Adaptive Volumetric Mechanical Property Fields Invariant to ResolutionEfficiency & systemsRishit Dagli +6Jun 16, 20265
Wasserstein Contraction of Coordinate Ascent Variational InferenceEfficiency & systemsRocco Caprio +2May 28, 2026
Composing Non-Conjugate Factor Graphs with Closed-Form Variational InferenceEfficiency & systemsMykola Lukashchuk +6May 28, 2026
Learning Robust and Task-Invariant Functional Representation from fMRI through Siamese Self-Supervised LearningEfficiency & systemsJiyao Wang +6May 27, 2026
Human Label Variation as Stable Signal: Learning Annotator-Specific Explanation Behavior via Cross-Annotator Preference OptimizationEfficiency & systemsBeiduo Chen +5May 27, 2026
ConVer: Using Contracts and Loop Invariant Synthesis for Scalable Formal Software VerificationEfficiency & systemsMuhammad A. A. Pirzada +4May 26, 2026
Resource-Constrained Affect Modelling via Variance Regularisation PruningEfficiency & systemsKosmas Pinitas +1May 26, 2026
Statistical Inference for Stochastic Gradient Descent Beyond Finite VarianceEfficiency & systemsJose Blanchet +2May 25, 2026
The Tokenizer Tax Across 25 European Languages: Domain Invariance, Cross-Lingual Few-Shot Effects, and the Ukrainian PenaltyEfficiency & systemsVolodymyr OvcharovMay 23, 2026
Balancing Fairness, Privacy, and Accuracy: A Multitask Adversarial Framework for Centralized Data-Driven SystemsEfficiency & systemsImesh Ekanayake +2May 23, 2026
GEM: GPU-Variability-Aware Expert to GPU Mapping for MoE SystemsEfficiency & systemsSourish Wawdhane +2May 19, 2026
Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance ModelsEfficiency & systemsRadu Lecoiu +2May 18, 2026
Tensor Channel Equivariant Graph Neural Networks for Molecular Polarizability PredictionEfficiency & systemsJean Philip Filling +2May 16, 2026
HYVINT: Intensity-Driven Hypergraph Generation with Variational RepresentationsEfficiency & systemsXinyi Hong +2May 16, 2026
PRISMat: Policy-Driven, Permutation-Invariant Autoregressive Material GenerationEfficiency & systemsClaire Schlesinger +3May 15, 2026
AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled BenchmarkEfficiency & systemsRaj Kiran Gupta KatakamMay 15, 2026
Predicting Response to Neoadjuvant Chemotherapy in Ovarian Cancer from CT Baseline Using Multi-Loss Deep LearningEfficiency & systemsFrancesco Pastori +10May 14, 2026
Enabling Adversarial Robustness in AI Models through Kubeflow MLOpsEfficiency & systemsStavros Bouras +3May 14, 2026
TILT: Target-induced loss tilting under covariate shiftEfficiency & systemsKakei Yamamoto +1May 14, 2026
Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric VariationEfficiency & systemsHaoran Li +6May 13, 2026
Causal Learning with the Invariance PrincipleEfficiency & systemsFrancesco Montagna +1May 13, 2026
IV-ICL: Bounding Causal Effects with Instrumental Variables via In-Context LearningEfficiency & systemsVahid Balazadeh +4May 13, 2026
Compact SO(3) Equivariant Atomistic Foundation Models via Structural PruningEfficiency & systemsChen Wang +3May 9, 2026
AESOP: Adversarial Execution-path Selection to Overload Deep Learning PipelinesEfficiency & systemsTingxi Li +5May 9, 2026
Exact Regular-Constrained Variable-Order Markov Generation via Sparse Context-State Belief PropagationEfficiency & systemsFrançois PachetMay 8, 2026
Chain-based Distillation for Effective Initialization of Variable-Sized Small Language ModelsEfficiency & systemsBoyu Shi +5May 8, 2026
SGD for Variational Inference: Tackling Unbounded Variance via Preconditioning and Dynamic BatchingEfficiency & systemsHippolyte Labarrière +3May 8, 2026
What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable DependenciesEfficiency & systemsFan Zhang +2May 8, 2026
The Structural Origin of Attention Sink: Variance Discrepancy, Super Neurons, and Dimension DisparityEfficiency & systemsSiquan Li +3May 7, 2026
DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential ExperimentsEfficiency & systemsKateryna Husar +1May 7, 2026
Invariant-Based Diagnostics for Graph BenchmarksEfficiency & systemsRichard von Moos +2May 7, 2026
Invariant Features in Language Models: Geometric Characterization and Model AttributionEfficiency & systemsAgnibh Dasgupta +2May 7, 2026
Permutation-preserving Functions and Neural Vecchia Covariance KernelsEfficiency & systemsJian Cao +2May 6, 2026
Transformed Latent Variable Multi-Output Gaussian ProcessesEfficiency & systemsXiaoyu Jiang +4May 6, 2026
Amortized Variational Inference for Joint Posterior and Predictive Distributions in Bayesian Uncertainty QuantificationEfficiency & systemsNan Feng +1May 5, 2026
A Fast Model Counting Algorithm for Two-Variable Logic with Counting and Modulo Counting QuantifiersEfficiency & systemsShixin Sun +4May 5, 2026
Distributed Deep Variational Approach for Privacy-preserving Data ReleaseEfficiency & systemsZahir Alsulaimawi +1May 4, 2026