:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Vahidi, Soroush
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.13799
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Minimum Weighted Feedback Arc Sets for Ranking from Pairwise Comparisons
by: Vahidi, Soroush, et al.
Published: (2024)

Interpretable and Adaptive Node Classification on Heterophilic Graphs via Combinatorial Scoring and Hybrid Learning
by: Vahidi, Soroush
Published: (2025)

Quantum-Inspired Multi Agent Reinforcement Learning for Exploration Exploitation Optimization in UAV-Assisted 6G Network Deployment
by: Taghavi, Mazyar, et al.
Published: (2025)

BRAID: Input-Driven Nonlinear Dynamical Modeling of Neural-Behavioral Data
by: Vahidi, Parsa, et al.
Published: (2025)

ConnectomeBench: Can LLMs Proofread the Connectome?
by: Brown, Jeff, et al.
Published: (2025)

Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation
by: Mo, Zihao, et al.
Published: (2024)

Deriving Equivalent Symbol-Based Decision Models from Feedforward Neural Networks
by: Seidel, Sebastian, et al.
Published: (2025)

Unveiling and Steering Connectome Organization with Interpretable Latent Variables
by: Li, Yubin, et al.
Published: (2025)

Compressing Deep Neural Networks Using Explainable AI
by: Soroush, Kimia, et al.
Published: (2025)

What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning
by: Jia, Yaning, et al.
Published: (2025)

Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape
by: Wei, Ziquan, et al.
Published: (2025)

Unification of Symmetries Inside Neural Networks: Transformer, Feedforward and Neural ODE
by: Hashimoto, Koji, et al.
Published: (2024)

Biological Processing Units: Leveraging an Insect Connectome to Pioneer Biofidelic Neural Architectures
by: Yu, Siyu, et al.
Published: (2025)

Command-line Risk Classification using Transformer-based Neural Architectures
by: Notaro, Paolo, et al.
Published: (2024)

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture
by: Kashyap, Gautam Siddharth, et al.
Published: (2025)

Predictive Coding Graphs are a Superset of Feedforward Neural Networks
by: van Zwol, Björn
Published: (2026)

Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback
by: He, Lehan, et al.
Published: (2025)

A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks
by: Cayci, Semih
Published: (2024)

NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
by: Wei, Ziquan, et al.
Published: (2024)

Path Analysis for Effective Fault Localization in Deep Neural Networks
by: Hashemifar, Soroush, et al.
Published: (2023)

Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning
by: Xie, Sean, et al.
Published: (2022)

DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography
by: Vroemen, Marcus J., et al.
Published: (2025)

Feedforward 3D Editing via Text-Steerable Image-to-3D
by: Ma, Ziqi, et al.
Published: (2025)

Probabilistic Circuits with Constraints via Convex Optimization
by: Ghandi, Soroush, et al.
Published: (2024)

Model Connectomes: A Generational Approach to Data-Efficient Language Models
by: Kotar, Klemen, et al.
Published: (2025)

Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning
by: Zhang, Minmin, et al.
Published: (2026)

NeuraLunaDTNet: Feedforward Neural Network-Based Routing Protocol for Delay-Tolerant Lunar Communication Networks
by: Patel, Parth, et al.
Published: (2024)

Neural Network-Assisted Model Predictive Control for Implicit Balancing
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2026)

Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes
by: Rudravaram, Gaurav, et al.
Published: (2025)

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
by: Said, Anwar, et al.
Published: (2023)

MLC-GCN: Multi-Level Generated Connectome Based GCN for AD Analysis
by: Zhu, Wenqi, et al.
Published: (2024)

Narrative-Driven Paper-to-Slide Generation via ArcDeck
by: Ozden, Tarik Can, et al.
Published: (2026)

Personalized Student Knowledge Modeling for Future Learning Resource Prediction
by: Hashemifar, Soroush, et al.
Published: (2025)

Effective Generative AI: The Human-Algorithm Centaur
by: Saghafian, Soroush, et al.
Published: (2024)

Dead Weights, Live Signals: Feedforward Graphs of Frozen Language Models
by: Armstrong, Marcus, et al.
Published: (2026)

Multimodal Connectome Fusion via Cross-Attention for Autism Spectrum Disorder Classification Using Graph Learning
by: Rahman, Ansar, et al.
Published: (2026)

Brain-Atlas-Guided Generative Counterfactual Attention for Explainable Cognitive Decline Diagnosis Using Multimodal Connectomes
by: Shen, Xiongri, et al.
Published: (2026)

More Expressive Feedforward Layers: Part I. Token-Adaptive Mixing of Activations
by: Wang, Mingze, et al.
Published: (2026)

RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers
by: Xu, Xuwei, et al.
Published: (2025)

Robust Conformal Prediction with a Single Binary Certificate
by: Zargarbashi, Soroush H., et al.
Published: (2025)