Faculty - Dashboard
Faculty/ Naresh Manwani
Naresh Manwani
Assistant Professor
mail_outline
naresh.manwani[at]iiit.ac.in
language
language
language
NEWS

R Jayaprasanna - (Active)
jayaprasanna.r@research.iiit.ac.in

Uday Bhaskar K- (Active)
udaybhaskar.k@research.iiit.ac.in
B Vamsha Vardhan Reddy- (Active)
vamshavardhanreddy.b@research.iiit.ac.in
Sravan Kotta- (Active)
sravan.kotta@research.iiit.ac.in
M Sreenivasan- (Graduated)
sreenivasan.m@research.iiit.ac.in
Bhavya Kalra- (Graduated)
bhavya.kalra@research.iiit.ac.in
Vrund Shah- (Graduated)
vrund.shah@research.iiit.ac.in

Tanish Taneja- (Active)
tanish.taneja@research.iiit.ac.in
Vidhi Rathore- (Active)
vidhi.rathore@research.iiit.ac.in
Kalsariya Vikaskumar Mansukhbhai- (Active)
vikaskumar.kalsariya@research.iiit.ac.in
Rishabh Bhattacharya- (Active)
rishabh.bhattacharya@research.iiit.ac.in
Maanik Arora- (Graduated)
maanik.arora@research.iiit.ac.in
Mudit Agarwal- (Graduated)
mudit.agarwal@research.iiit.ac.in
Tejas Kiran Chaudhari- (Graduated)
tejas.chaudhari@research.iiit.ac.in

Sallepalle Naga Revanth Reddy- (Active)
naga.revanth@students.iiit.ac.in
Veerapuneni Keshava Kishora Nanda- (Active)
keshava.kishora@students.iiit.ac.in
Shah Kulin Nitinkumar- (Graduated)
kulin.shah@students.iiit.ac.in
Gaurav Batra- (Graduated)
gaurav.batra@students.iiit.ac.in
Panchani Hetav Yogeshbhai- (Graduated)
hetav.panchani@students.iiit.ac.in
Mrinal Rajesh Khubchandani- (Graduated)
mrinal.khubchandani@students.iiit.ac.in
Samartha S M- (Graduated)
samartha.s@students.iiit.ac.in
Manatkar Abhijit Devendra- (Graduated)
abhijit.manatkar@students.iiit.ac.in
Teaching Courses
MA6.301 - MCS 1-Probability and Statistics
2025-26 - Monsoon
CS7.506 - Causal Inference
2025-26 - Monsoon
MA6.301 - MCS 1-Probability and Statistics
2024-25 - Monsoon
MA6.302 - MCS 2-Linear Algebra
2024-25 - Monsoon
CS1.404 - Optimization Methods
2024-25 - Spring
CS7.601 - Deep Learning- Theory and Practices
2023-24 - Monsoon
CS1.404 - Optimization Methods
2023-24 - Spring
CS7.601 - Deep Learning- Theory and Practices
2022-23 - Monsoon
CS1.404 - Optimization Methods
2022-23 - Spring
CS7.502 - Topics in Machine Learning
2021-22 - Monsoon
CS1.404 - Optimization Methods
2021-22 - Spring
CSE975 - Topics in Machine Learning
2020-21 - Monsoon
CS7.601 - Deep Learning- Theory and Practices
2020-21 - Spring
CSE975 - Topics in Machine Learning
2019-20 - Monsoon
CS7.601 - Deep Learning- Theory and Practices
2019-20 - Spring
CSE975 - Topics in Machine Learning
2018-19 - Monsoon
MA2.101 - Linear Algebra
2018-19 - Spring
CSE975 - Topics in Machine Learning
2017-18 - Monsoon
CSE471 - Statistical Methods in AI
2017-18 - Spring
CSE471 - Statistical Methods in AI
2016-17 - Spring
About

Areas of Expertise

Selected Publications

Reducing Misclassification Risk in Dynamic Graph Neural Networks through Abstention

Jayadratha Gayen,Himanshu Pal,Naresh Manwani,Charu Sharma

IEEE International Conference on Advances in Social Networks Analysis and Mining, ASONAM, 2025
Abs | PDF | bib Tex

Confidence First: Reliability-Driven Temporal Graph Neural Networks

Jayadratha Gayen,Himanshu Pal,Naresh Manwani,Charu Sharma

KNOWLEDGE DISCOVERY AND DATA MINING WORKSHOPS, KDD-W, 2025
Abs | PDF | bib Tex

Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning

Darshana S,Naresh Manwani,Vineet Gandhi

Computer Vision and Pattern Recognition Conference workshops, CVPR-W, 2025
Abs | PDF | bib Tex

Node Classification With Reject Option

Uday Bhaskar K,Jayadratha Gayen,Charu Sharma,Naresh Manwani

Transactions in Machine Learning Research, TMLR, 2025
Abs | PDF | bib Tex

Achieving Fair PCA using Joint Eigenvalue Decomposition

Vidhi Rathore,Naresh Manwani

Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, 2025
Abs | PDF | bib Tex

Node Classification With Integrated Reject Option For Legal Judgement Prediction

Uday Bhaskar K,Jayadratha Gayen,Charu Sharma,Naresh Manwani

Association for the Advancement of Artificial Intelligence Workshop, AAAI-W, 2025
Abs | PDF | bib Tex

Text Representation Models based on the Spatial Distributional Properties of Word Embeddings

Narendra Babu Unnam,Krishna Reddy Polepalli,Amit Pandey,Naresh Manwani

India Joint International Conference on Data Science & Management of Data, COMAD/CODS, 2024
Abs | PDF | bib Tex

Towards Calibrated Losses for Adversarial Robust Reject Option Classification

Vrund Shah,Tejas Kiran Chaudhari,Naresh Manwani

Asian Conference on Machine Learning, ACML, 2024
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EQUISCALE: Equitable Scaling for Abstention Learning

Tejas Kiran Chaudhari,Naresh Manwani

Pacific Rim International Conference on Artificial Intelligence, PRICAI, 2024
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ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis

Manatkar Abhijit Devendra,Devarsh Patel,Hima Patel,Naresh Manwani

Association for Computing Machinery, ACM, 2024
Abs | PDF | bib Tex