Mandeep Rathee

I'm a PhD student at L3S Research Center, Hannover

About

My research interest lies in the solving the fundamental bounded recall problem in Neural Information Retrieval and its application in complex question asnwering. Prior to that, I have worked on the explainbility of graph machine learning models.

Interests

  • Information Retrieval, Neural Reranking, and Complex Reasoning
  • Interpretability in Graph Neural Networks

Publications

Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets

Mandeep Rathee, Venktesh V, Sean MacAvaney and Avishek Anand

In SIGIR 2025

SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA

Venktesh V*, Mandeep Rathee*, and Avishek Anand

In NAACL 2025

Guiding Retrieval using LLM-based Listwise Rankers

Mandeep Rathee, Sean MacAvaney, and Avishek Anand

In ECIR 2025

Quam: Adaptive Retrieval through Query Affinity Modelling

Mandeep Rathee, Sean MacAvaney, and Avishek Anand

In WSDM 2025

BAGEL: A Benchmark for Assessing Graph Neural Network Explanations

Mandeep Rathee, Thorben Funke, Avishek Anand, and Megha Khosla

In AIMLAI@ECML-PKDD 2024

Private Graph Extraction via Feature Explanations

Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, and Megha Khosla

In PETS 2023

Learnt sparsification for interpretable graph neural networks

Mandeep Rathee, Zijian Zhang, Thorben Funke, Megha Khosla, and Avishek Anand

ZORRO: Valid, Sparse, and Stable Explanations in Graph Neural Networks

Thorben Funke, Megha Khosla, Mandeep Rathee, and Avishek Anand

In TKDE 2022

Resume Open Resume as PDF

Overview

Mandeep Rathee

I am Mandeep. I am a PhD researcher at L3S Research Center, Hannover, Germany.

Education

Ph.D.

2020 - Current

L3S Research Center, Hannover

Information Retrieval

Masters of Technology

Mathematics and Computing
2018 - 2020

Indian Institute of Technology, Patna, India

I did my master's thesis in L3S Research Center of Leibniz University Hannover. My topic for master's thesis was Graph Augmentation and Learning using Graph Neural Networks.

Experience

Teaching

TA for Deep Learning Course, Summer Semester, 2021

Leibniz University Hannover

Contact

Location:

L3S Research Center, Appelstrasse 4b, 30167, Hannover

Telephone:

Not Available

Loading
Your message has been sent. Thank you!