:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sarlak, Ahmad, Razi, Abolfazl
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2602.00885
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication
by: Sarlak, Ahmad, et al.
Published: (2024)

Extended Visibility of Autonomous Vehicles via Optimized Cooperative Perception under Imperfect Communication
by: Sarlak, Ahmad, et al.
Published: (2025)

Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control
by: Alzorgan, Hazim, et al.
Published: (2025)

Geographical Information Alignment Boosts Traffic Analysis via Transpose Cross-attention
by: Jiang, Xiangyu, et al.
Published: (2024)

REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models
by: Ebrahimi, Sana, et al.
Published: (2024)

Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect Communication
by: Bastola, Ashish, et al.
Published: (2025)

A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior
by: Dong, Yiwei, et al.
Published: (2024)

Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes
by: Zou, Joanna, et al.
Published: (2026)

Naturally Private Recommendations with Determinantal Point Processes
by: Fitzsimons, Jack, et al.
Published: (2024)

Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis
by: Chen, Xiwen, et al.
Published: (2024)

Localized Distributional Robustness in Submodular Multi-Task Subset Selection
by: Kaya, Ege C., et al.
Published: (2024)

Statistical Consistency of Discrete-to-Continuous Limits of Determinantal Point Processes
by: Jaquard, Hugo, et al.
Published: (2026)

Apprentices to Research Assistants: Advancing Research with Large Language Models
by: Namvarpour, M., et al.
Published: (2024)

FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
by: Chen, Xiwen, et al.
Published: (2025)

TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
by: Chen, Xiwen, et al.
Published: (2024)

Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences
by: Chen, Xiwen, et al.
Published: (2025)

Comparative Analysis of LSTM Neural Networks and Traditional Machine Learning Models for Predicting Diabetes Patient Readmission
by: Zarghani, Abolfazl
Published: (2024)

Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution Generalization
by: Mondal, Shanka Subhra, et al.
Published: (2023)

Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing
by: Qian, Zhenyu, et al.
Published: (2024)

On the Reliability of Watermarks for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)

Robust and Computation-Aware Gaussian Processes
by: Sinaga, Marshal Arijona, et al.
Published: (2025)

Comment on "A Note on Over-Smoothing for Graph Neural Networks"
by: Hasson, Razi, et al.
Published: (2025)

TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models
by: Liu, Zefang, et al.
Published: (2024)

D5P4: Partition Determinantal Point Process for Diversity in Parallel Discrete Diffusion Decoding
by: Lys, Jonathan, et al.
Published: (2026)

Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
by: Huang, Jerry, et al.
Published: (2024)

Neural Diffusion Intensity Models for Point Process Data
by: Du, Xinlong, et al.
Published: (2026)

Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes
by: Moon, Sang Bin, et al.
Published: (2024)

Data-Driven Approximation of Binary-State Network Reliability Function: Algorithm Selection and Reliability Thresholds for Large-Scale Systems
by: Yeh, Wei-Chang
Published: (2025)

Designing Adaptive Algorithms Based on Reinforcement Learning for Dynamic Optimization of Sliding Window Size in Multi-Dimensional Data Streams
by: Zarghani, Abolfazl, et al.
Published: (2025)

Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
by: Wenger, Jonathan, et al.
Published: (2024)

Logical Grammar Induction via Graph Kolmogorov Complexity: A Neuro-Symbolic Framework for Self-Healing Clinical Data Integrity
by: Zarghani, Abolfazl, et al.
Published: (2026)

Adaptive Edge Learning for Density-Aware Graph Generation
by: Razavi, Seyedeh Ava Razi, et al.
Published: (2026)

Do Large Language Model Benchmarks Test Reliability?
by: Vendrow, Joshua, et al.
Published: (2025)

Solving Robust Markov Decision Processes: Generic, Reliable, Efficient
by: Meggendorfer, Tobias, et al.
Published: (2024)

Extracting Process-Aware Decision Models from Object-Centric Process Data
by: Goossens, Alexandre, et al.
Published: (2024)

REALM: Reliable Expertise-Aware Language Model Fine-Tuning from Noisy Annotations
by: Ghiasvand, Sajjad, et al.
Published: (2026)

Transfer Learning for High-dimensional Reduced Rank Time Series Models
by: Safikhani, Mingliang Ma Abolfazl
Published: (2025)

FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning
by: Younesi, Abolfazl, et al.
Published: (2025)

GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection
by: Yao, Kai, et al.
Published: (2026)

Pretraining Transformer-Based Models on Diffusion-Generated Synthetic Graphs for Alzheimer's Disease Prediction
by: Moslemi, Abolfazl, et al.
Published: (2025)