Ahmad Abdel-Qader

Publication record

Highlighted work

Selected publications

  1. Accepted New

    Variational Patch Gating for Training-Free Few-Shot Classification

    Venue European Conference on Computer Vision (ECCV)

    Uses a closed-form variational gate to accumulate reliable local patch evidence for few-shot recognition under severe domain shift, without iterative solvers or learned parameters.

    • Few-Shot Learning
    • Computer Vision
    • Training-Free Adaptation
    Publication link pending
  2. Accepted New

    Class-Conditional Cauchy-Schwarz Quadratic Mutual Information for Domain Generalization

    Venue European Conference on Computer Vision (ECCV) Workshops

    Separates the effect of class conditioning from finite-sample coupling geometry in a source-only kernel mutual-information regularizer, attributing domain-generalization gains stage by stage across five DomainBed benchmarks.

    • Domain Generalization
    • Information Theory
    • Kernel Methods
    Publication link pending
  3. Accepted Oral

    MoE²: A Mixture-of-Mixtures of Experts for Ensemble-Free Domain Generalization

    Venue Proceedings of the AAAI Conference on Artificial Intelligence

    Dynamically synthesizes a bespoke adapter for each input from a single frozen backbone, matching ensemble-level domain-generalization performance with one compact model and a theoretically grounded routing mechanism.

    • Domain Generalization
    • Mixture of Experts
    • Robust ML
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Accepted work

Other publications

Publication title, year, venue, and direct link.

  1. New

    Mutual Evidence Transport for Training-Free Few-Shot Recognition

    Venue British Machine Vision Conference (BMVC)

    Publication link pending
  2. New

    RGCT: Region-Gated Competitive Transport for Training-Free Cross-Domain Few-Shot Recognition

    Venue British Machine Vision Conference (BMVC)

    Publication link pending

  3. Multi-Level Autoencoder: Deep Learning Based Channel Coding and Modulation

    Venue International Wireless Communications and Mobile Computing Conference

    View publication

  4. Coding for the Gaussian Channel in the Finite Blocklength Regime Using a CNN-Autoencoder

    Venue IEEE International Black Sea Conference on Communications and Networking

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  5. Binary Modeling and Capacity-Approaching Coding for the IM/DD Channel

    Venue IEEE Transactions on Communications

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  6. An Efficient and Low-Latency Deep Inertial Odometer for Smartphone Positioning

    Venue IEEE Sensors Journal

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