Deep neural networks for segmentation of basal ganglia sub-structures in brain MR images. - Akshay Sethi; Akshat Sinha; Ayush Agarwal; Chetan Arora 001; Anubha Gupta (ICVGIP, 2016)

Democratization of Deep Learning Using DARVIZ. - Anush Sankaran; Naveen Panwar; Shreya Khare; Senthil Mani; Akshay Sethi; Rahul Aralikatte; Neelamadhav Gantayat (AAAI, 2018)

DLPaper2Code: Auto-Generation of Code From Deep Learning Research Papers. - Akshay Sethi; Anush Sankaran; Naveen Panwar; Shreya Khare; Senthil Mani (AAAI, 2018)

Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey. - Seyed Mehran Kazemi; Rishab Goel; Kshitij Jain 001; Ivan Kobyzev; Akshay Sethi; Peter Forsyth; Pascal Poupart (CoRR, 2019)

Coverage Testing of Deep Learning Models using Dataset Characterization. - Senthil Mani; Anush Sankaran; Srikanth Tamilselvam; Akshay Sethi (CoRR, 2019)

Residual Codean Autoencoder for Facial Attribute Analysis. - Akshay Sethi; Maneet Singh; Richa Singh 001; Mayank Vatsa (Pattern Recognit. Lett., 2019)

Representation Learning for Dynamic Graphs: A Survey. - Seyed Mehran Kazemi; Rishab Goel; Kshitij Jain 001; Ivan Kobyzev; Akshay Sethi; Peter Forsyth; Pascal Poupart (J. Mach. Learn. Res., 2020)

Auto-TabTransformer: Hierarchical Transformers for Self and Semi Supervised Learning in Tabular Data. - Akshay Sethi; Sonia Gupta; Ayush Agarwal; Nancy Agrawal; Siddhartha Asthana (IJCNN, 2023)

Learning Representations for Bipartite Graphs Using Multi-task Self-supervised Learning. - Akshay Sethi; Sonia Gupta; Aakarsh Malhotra; Siddhartha Asthana (ECML/PKDD (3), 2023)

SGD-MLP: Structure Generation and Distillation using a graph free MLP. - Sanjay Kumar Patnala; Sumedh B. G; Akshay Sethi; Sonia Gupta; Siddhartha Asthana (COMAD/CODS, 2024)

GraTeD-MLP: Efficient Node Classification via Graph Transformer Distillation to MLP. - Sarthak Malik; Aditi Rai; Ram Ganesh V; Himank Sehgal; Akshay Sethi; Aakarsh Malhotra (LoG, 2024)