Avishek Anand
Scholar

Avishek Anand

Google Scholar ID: BMdfo4UAAAAJ
Associate Professor, TU Delft and L3S Research Center
interpretabilitygraph representation learningindexing textranking
Citations & Impact
All-time
Citations
2,585
 
H-index
27
 
i10-index
61
 
Publications
20
 
Co-authors
45
list available
Resume (English only)
Academic Achievements
  • Paper “Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions” accepted at ICML 2024 (July 2024)
  • Paper “DINE: Dimensional Interpretability of Node Embeddings” accepted by TKDE Journal (May 2024)
  • Best Paper Award at IEEE ICDM 2023 for “A Deep Reinforcement Learning Approach to Configuration Sampling Problem”
  • Organized the Dutch-Belgian IR Conference (DIR 2023) in November 2023
  • Published multiple high-impact papers including in ACM TOIS: “Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders” and “Data Augmentation for Sample Efficient and Robust Document Ranking” (2024)
Research Experience
  • Previously Assistant Professor in Information Retrieval at Leibniz University Hannover
  • Currently leads the Research, Engineering, and Infrastructure Team (REIT) within the Department of Software Technology at TU Delft
  • Member of the L3S Research Center
  • Visiting scholar at Amazon Search
  • Research supported by Amazon Research Awards, Schufa GmbH, German Federal Ministry of Education and Research (BMBF), and EU Horizon 2020 programme