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Amr Alanwar

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#machine learning Preprint Sep 2026

JEPA Learns What the Mask Leaves Unrecoverable

Joint-embedding predictive architectures are unusually sensitive to how the input is masked: block masks work, scattered masks do not, and the explanations are empirical. We give a measurement account. A mask is a linear measurement, and in a compactly supported wavelet basis every atom whose support lies inside the hi...

Peng Xie, Amr Alanwar · 0 citations
#artificial intelligence Open access Aug 2026

Safe Multi-Robot Coordination via VLM–LLM Reasoning and Reachability Analysis

This study presents a centralized safety aware M2M framework for cooperative goal-directed navigation in a heterogeneous mobile robot system composed of a vision-capable robot and a cameraless robotic vehicle that can approve safe motion, trigger conservative replanning or holding behavior, and preserve a strict separa...

Mohamed Dwedar, Ahmad Hafez, Alexander Jesser et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Certified Mechanistic Interpretability: Lifting Single-Input Findings to Bounded Neighbourhoods

Mechanistic interpretability reverse-engineers transformer circuits one input at a time, leaving observed mechanisms without guarantees over bounded input neighbourhoods. We address this gap with a framework based on constrained polynomial-zonotope (CPZ) propagation that lifts mechanistic-interpretability observations...

Zhen Zhang, Yan-Liang Huang, Peng Xie et al. · 0 citations

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning

A per-layer critical update strength is derived, computed from the measured spectrum of $W$ alone through the rectangular spiked-deformation transform, together with an exact secular-equation characterization of the updated spectrum, with no fitted parameters.

Pengyuan Xie, Amr Alanwar · 1 citation
Preprint Aug 2026

Hybrid Probabilistic Zonotopes for Identifiable and Refinable Predictive Uncertainty

The Hybrid Probabilistic Zonotope (HProbZ), an output head that represents these three sources as binary, bounded, and stochastic generators of a zonotope, and admits a closed-form likelihood by convolution is introduced.

Zhen Zhang, Amr Alanwar · 0 citations
Preprint Aug 2026

Certifying Plans under Model Mismatch: A Trilemma for Reachability from Scarce Data

Sim-to-real policies are designed under nominal dynamics, but target-system trials may yield only a few isolated one-step transitions. We study pre-execution certification of a fixed control sequence, such as an action chunk produced by a learned policy. If the sequence reaches an unobserved state-input region, the obs...

Yanliang Huang, Zhen Zhang, Ahmad Hafez et al. · 0 citations
Preprint Aug 2026

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training

This work freezes the visual encoder and confine set propagation to a low-dimensional interface between it and the downstream policy, with the interface set calibrated from held-out camera-pose perturbations to achieve reachability analysis for visuomotor policies.

Yan-Liang Huang, Zhuo-Cheng Zhang, Peng Xie et al. · 0 citations
Preprint Aug 2026

CompCPZ: Preserving Multi-Modal Intent in Language-Guided Robot Manipulation

CompCPZ, a sound algebraic layer that language-conditioned learning systems wrap to recover multi-modal disjunctive representation, recursively composing per-primitive constrained polynomial zonotope enclosures along the language parse tree with distribution-free conformal coverage and sub-millisecond runtime is presen...

Zhen Zhang, Ahmad Hafez, Peng Xie et al. · 0 citations
#machine learning Preprint Aug 2026

Gated Recurrent Transformers: Expressive Depth through Recurrent Modulation

Scaling transformer language models creates an inherent tension between expressivity and memory efficiency. While unique weights across layers preserve functional specialization---from input-grounding to abstract refinement---they incur a substantial memory footprint. Conversely, standard depth-sharing enforces uniform...

Amr Hegazy, Amr Alanwar, Mostafa Elhoushi · 2 citations
#machine learning Preprint Aug 2026

Cross-View Correspondence Is a Measurement Intervention: Two-Sided Validation for Agent Evaluation and Credit Assignment

A validity theory and audit with three components: two-sided validation of nuisance removal and response preservation, all-optima identification of downstream conclusions, and uncertainty propagation after validity is established is developed.

Zhen Zhang, Ahmad Hafez, Amr Alanwar · 0 citations

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