Jayneel Parekh

6 papers · 2021–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

NeurIPS (3) ICCV (1) ICLR (1) ICML (1)

Top co-authors

Pavlo Mozharovskyi (3) Florence d'Alché-Buc (3) Pegah Khayatan (2) Matthieu Cord (2) Alasdair Newson (2) Mustafa Shukor (2) Thomas FEL (1) Arnaud Dapogny (1) Amandine Brunetto (1) Gaël RICHARD (1)

Research topics

Artificial Intelligence (6) Core AI (6) Deep Learning (4) Machine Learning (4) Core Methods (3) Learning Types · Deep Learning (2) Speech & Audio (1) Analysis (1) Architectures (1) Learning Types · Machine Learning (1) Models (1) Optimization & Theory (1)

Keywords

interpretable model (2) unsupervised learning (1) representation learning (1) multimodal learning (1) interpretable machine learning (1) model interpretability (1) gradient-based method (1) audio classification (1) generative model (1) language model (1) large multimodal model (1) latent space (1) feature visualization (1) post-hoc explanation (1) non-negative matrix factorization (1) representation shift (1) model steering (1) concept vector (1) neural network (1) multimodal concept (1)

Papers

Analyzing Finetuning Representation Shift for Multimodal LLMs Steering ICCV 2025 One Wave To Explain Them All: A Unifying Perspective On Feature Attribution ICML 2025 Restyling Unsupervised Concept Based Interpretable Networks with Generative Models ICLR 2025 A Concept-Based Explainability Framework for Large Multimodal Models NeurIPS 2024 Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF NeurIPS 2022 A Framework to Learn with Interpretation NeurIPS 2021