Ibne Farabi Shihab
Orcid: 0000-0003-1624-9954
According to our database1,
Ibne Farabi Shihab authored at least 40 papers
between 2023 and 2026.
Collaborative distances:
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Bibliography
2026
Coverage-Based Calibration for Post-Training Quantization via Weighted Set Cover over Outlier Channels.
CoRR, April, 2026
Continual Calibration: Coverage Can Collapse Before Accuracy in Lifelong LLM Fine-Tuning.
CoRR, April, 2026
Locality, Not Spectral Mixing, Governs Direct Propagation in Distributed Offline Dynamic Programming.
CoRR, April, 2026
Why Colors Make Clustering Harder:Global Integrality Gaps, the Price of Fairness, and Color-Coupled Algorithms in Chromatic Correlation Clustering.
CoRR, April, 2026
Minimax Optimality and Spectral Routing for Majority-Vote Ensembles under Markov Dependence.
CoRR, April, 2026
Beyond Accuracy: A Unified Random Matrix Theory Diagnostic Framework for Crash Classification Models.
CoRR, February, 2026
Calibrated Adaptation: Bayesian Stiefel Manifold Priors for Reliable Parameter-Efficient Fine-Tuning.
CoRR, February, 2026
Grassmannian Mixture-of-Experts: Concentration-Controlled Routing on Subspace Manifolds.
CoRR, February, 2026
On the Sparsifiability of Correlation Clustering: Approximation Guarantees under Edge Sampling.
CoRR, February, 2026
CoRR, February, 2026
CoRR, January, 2026
CalPro: Prior-Aware Evidential-Conformal Prediction with Structure-Aware Guarantees for Protein Structures.
CoRR, January, 2026
Adaptive Constraint Propagation: Scaling Structured Inference for Large Language Models via Meta-Reinforcement Learning.
CoRR, January, 2026
Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace Diagnostics.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
Adaptive Constraint Propagation: Scaling Structured Inference for Large Language Models via Meta-Reinforcement Learning.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
2025
CoRR, November, 2025
Temporal Zoom Networks: Distance Regression and Continuous Depth for Efficient Action Localization.
CoRR, November, 2025
CoRR, October, 2025
Calibrated and Resource-Aware Super-Resolution for Reliable Driver Behavior Analysis.
CoRR, September, 2025
Selective Risk Certification for LLM Outputs via Information-Lift Statistics: PAC-Bayes, Robustness, and Skeleton Design.
CoRR, September, 2025
MAGNET-KG: Maximum-Entropy Geometric Networks for Temporal Knowledge Graphs: Theoretical Foundations and Mathematical Framework.
CoRR, September, 2025
What Fundamental Structure in Reward Functions Enables Efficient Sparse-Reward Learning?
CoRR, September, 2025
CoRR, September, 2025
CoRR, September, 2025
Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study.
CoRR, July, 2025
Identification of Potentially Misclassified Crash Narratives using Machine Learning (ML) and Deep Learning (DL).
CoRR, July, 2025
Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges.
CoRR, July, 2025
Heart rate and respiratory rate prediction from noisy real-world smartphone based on Deep Learning methods.
CoRR, June, 2025
Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment.
CoRR, June, 2025
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems.
CoRR, June, 2025
Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models.
CoRR, April, 2025
Crash Time Matters: HybridMamba for Fine-Grained Temporal Localization in Traffic Surveillance Footage.
CoRR, April, 2025
ClearVision: Leveraging CycleGAN and SigLIP-2 for Robust All-Weather Classification in Traffic Camera Imagery.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025
2024
Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments.
CoRR, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Robust and Precise Sidewalk Detection with Ensemble Learning: Enhancing Road Safety and Facilitating Curb Space Management.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023