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Debarghya Ghoshdastidar

7 papers at tracked venues · 5 at CORE A* · active 2024–2026

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Venues

AAAI ×2ICLR ×2AISTATS ×1AsiaCCS ×1NeurIPS ×1

Frequent coauthors

Maximilian Fleissner
×3
Gautham Govind Anil
×2
Pascal Mattia Esser
×2
Yaomengxi Han
×1
Yunru Wang
×1
Johannes Kinder
×1
Mahalakshmi Sabanayagam
×1
Lukas Gosch
×1
Stephan Günnemann
×1
Alexandru Craciun
×1
Leena Chennuru Vankadara
×1

Papers

  1. ALPHA: Active Learning with PAC-Bayesian Theory for Android Malware Detection
    AsiaCCS 2026 ·
    Yaomengxi Han
    ,
    Yunru Wang
    , Debarghya Ghoshdastidar,
    Johannes Kinder
  2. Exact Certification of (Graph) Neural Networks Against Label Poisoning
    ICLR 2025 ·
    Mahalakshmi Sabanayagam
    ,
    Lukas Gosch
    ,
    Stephan Günnemann
    , Debarghya Ghoshdastidar
  3. Infinite Width Limits of Self Supervised Neural Networks
    AISTATS 2025 ·
    Maximilian Fleissner
    ,
    Gautham Govind Anil
    , Debarghya Ghoshdastidar
  4. Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations
    NeurIPS 2025 ·
    Alexandru Craciun
    , Debarghya Ghoshdastidar
  5. When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
    AAAI 2025 ·
    Gautham Govind Anil
    ,
    Pascal Mattia Esser
    , Debarghya Ghoshdastidar
  6. Explaining Kernel Clustering via Decision Trees
    ICLR 2024 ·
    Maximilian Fleissner
    ,
    Leena Chennuru Vankadara
    , Debarghya Ghoshdastidar
  7. Non-parametric Representation Learning with Kernels
    AAAI 2024 ·
    Pascal Mattia Esser
    ,
    Maximilian Fleissner
    , Debarghya Ghoshdastidar