Saved in:
| Main Authors: | Adeel, Ahsan, Bilal, M. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.13453 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Attention: Toward Machines with Intrinsic Higher Mental States
by: Adeel, Ahsan
Published: (2025)
by: Adeel, Ahsan
Published: (2025)
An Overlooked Role of Context-Sensitive Dendrites
by: Raza, Mohsin, et al.
Published: (2024)
by: Raza, Mohsin, et al.
Published: (2024)
A Cellular Doctrine of Morality: Intrinsic Active Precision and the Mind-Reality Overload Dilemma
by: Adeel, Ahsan
Published: (2026)
by: Adeel, Ahsan
Published: (2026)
Single layer tiny Co$^4$ outpaces GPT-2 and GPT-BERT
by: Zain, Noor Ul, et al.
Published: (2025)
by: Zain, Noor Ul, et al.
Published: (2025)
Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processing
by: Ahmed, Khubaib, et al.
Published: (2022)
by: Ahmed, Khubaib, et al.
Published: (2022)
Mechanistic Neural Networks for Scientific Machine Learning
by: Pervez, Adeel, et al.
Published: (2024)
by: Pervez, Adeel, et al.
Published: (2024)
Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks
by: Giwa, Oluwaseyi, et al.
Published: (2025)
by: Giwa, Oluwaseyi, et al.
Published: (2025)
Epistemic Uncertainty for Test-Time Discovery
by: Riaz, Kainat, et al.
Published: (2026)
by: Riaz, Kainat, et al.
Published: (2026)
Machine Learning-based Android Intrusion Detection System
by: Tahreem, Madiha, et al.
Published: (2024)
by: Tahreem, Madiha, et al.
Published: (2024)
Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics
by: Amaya-Corredor, Santiago, et al.
Published: (2026)
by: Amaya-Corredor, Santiago, et al.
Published: (2026)
On Predictive planning and counterfactual learning in active inference
by: Paul, Aswin, et al.
Published: (2024)
by: Paul, Aswin, et al.
Published: (2024)
Cooperation Is All You Need
by: Adeel, Ahsan, et al.
Published: (2023)
by: Adeel, Ahsan, et al.
Published: (2023)
Hypergraph Pattern Machine: Compositional Tokenization for Higher-Order Interactions
by: Zhao, Kyrie, et al.
Published: (2026)
by: Zhao, Kyrie, et al.
Published: (2026)
Continuous-Utility Direct Preference Optimization
by: Mohsin, Muhammad Ahmed, et al.
Published: (2026)
by: Mohsin, Muhammad Ahmed, et al.
Published: (2026)
Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency
by: Luo, Yuxiang, et al.
Published: (2026)
by: Luo, Yuxiang, et al.
Published: (2026)
OnRL-RAG: Real-Time Personalized Mental Health Dialogue System
by: Bilal, Ahsan, et al.
Published: (2025)
by: Bilal, Ahsan, et al.
Published: (2025)
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey
by: Khamis, Abdelwahed, et al.
Published: (2023)
by: Khamis, Abdelwahed, et al.
Published: (2023)
Digital Phenotyping for Adolescent Mental Health: A Feasibility Study Employing Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data
by: Kadirvelu, Balasundaram, et al.
Published: (2025)
by: Kadirvelu, Balasundaram, et al.
Published: (2025)
$S^3$: Stratified Scaling Search for Test-Time in Diffusion Language Models
by: Bilal, Ahsan, et al.
Published: (2026)
by: Bilal, Ahsan, et al.
Published: (2026)
DEEDEE: Fast and Scalable Out-of-Distribution Dynamics Detection
by: Aljaafari, Tala, et al.
Published: (2025)
by: Aljaafari, Tala, et al.
Published: (2025)
Intrinsic Lorentz Neural Network
by: Shi, Xianglong, et al.
Published: (2026)
by: Shi, Xianglong, et al.
Published: (2026)
GWT: Scalable Optimizer State Compression for Large Language Model Training
by: Wen, Ziqing, et al.
Published: (2025)
by: Wen, Ziqing, et al.
Published: (2025)
Unveiling the Role of Expert Guidance: A Comparative Analysis of User-centered Imitation Learning and Traditional Reinforcement Learning
by: Gomaa, Amr, et al.
Published: (2024)
by: Gomaa, Amr, et al.
Published: (2024)
On Convolutions, Intrinsic Dimension, and Diffusion Models
by: Leung, Kin Kwan, et al.
Published: (2025)
by: Leung, Kin Kwan, et al.
Published: (2025)
Forget and Explain: Transparent Verification of GNN Unlearning
by: Ahsan, Imran, et al.
Published: (2025)
by: Ahsan, Imran, et al.
Published: (2025)
Detection of Disengagement from Voluntary Quizzes: An Explainable Machine Learning Approach in Higher Distance Education
by: Parsaeifard, Behnam, et al.
Published: (2025)
by: Parsaeifard, Behnam, et al.
Published: (2025)
Machine Unlearning of Traffic State Estimation and Prediction
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents
by: Cai, Yifu, et al.
Published: (2025)
by: Cai, Yifu, et al.
Published: (2025)
Dynamic Expert Quantization for Scalable Mixture-of-Experts Inference
by: Chu, Kexin, et al.
Published: (2025)
by: Chu, Kexin, et al.
Published: (2025)
Solving Diffusion Inverse Problems with Restart Posterior Sampling
by: Ahmed, Bilal, et al.
Published: (2025)
by: Ahmed, Bilal, et al.
Published: (2025)
Small Graph Is All You Need: DeepStateGNN for Scalable Traffic Forecasting
by: Wölker, Yannick, et al.
Published: (2025)
by: Wölker, Yannick, et al.
Published: (2025)
Intrinsic Credit Assignment for Long Horizon Interaction
by: Auzina, Ilze Amanda, et al.
Published: (2026)
by: Auzina, Ilze Amanda, et al.
Published: (2026)
Intrinsic Training Signals for Federated Learning Aggregation
by: Fiorini, Cosimo, et al.
Published: (2025)
by: Fiorini, Cosimo, et al.
Published: (2025)
Improving Intrinsic Exploration by Creating Stationary Objectives
by: Castanyer, Roger Creus, et al.
Published: (2023)
by: Castanyer, Roger Creus, et al.
Published: (2023)
On efficient computation in active inference
by: Paul, Aswin, et al.
Published: (2023)
by: Paul, Aswin, et al.
Published: (2023)
Exploring State Space and Reasoning by Elimination in Tsetlin Machines
by: Kadhim, Ahmed K., et al.
Published: (2024)
by: Kadhim, Ahmed K., et al.
Published: (2024)
Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection
by: Zhang, Yeyubei, et al.
Published: (2025)
by: Zhang, Yeyubei, et al.
Published: (2025)
Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling
by: Guo, Jizhou, et al.
Published: (2025)
by: Guo, Jizhou, et al.
Published: (2025)
M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling
by: Mishra, Mayank, et al.
Published: (2026)
by: Mishra, Mayank, et al.
Published: (2026)
Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models
by: Yang, Xiao-Wen, et al.
Published: (2026)
by: Yang, Xiao-Wen, et al.
Published: (2026)
Similar Items
-
Beyond Attention: Toward Machines with Intrinsic Higher Mental States
by: Adeel, Ahsan
Published: (2025) -
An Overlooked Role of Context-Sensitive Dendrites
by: Raza, Mohsin, et al.
Published: (2024) -
A Cellular Doctrine of Morality: Intrinsic Active Precision and the Mind-Reality Overload Dilemma
by: Adeel, Ahsan
Published: (2026) -
Single layer tiny Co$^4$ outpaces GPT-2 and GPT-BERT
by: Zain, Noor Ul, et al.
Published: (2025) -
Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processing
by: Ahmed, Khubaib, et al.
Published: (2022)