DeepPlace: Learning to Place Applications in Multi-Tenant Clusters. - Subrata Mitra; Shanka Subhra Mondal; Nikhil Sheoran; Neeraj Dhake; Ravinder Nehra; Ramanuja Simha (APSys, 2019)

Kinship Verification using Deep Siamese Convolutional Neural Network. - Abhilash Nandy; Shanka Subhra Mondal (FG, 2019)

Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos. - Shanka Subhra Mondal; Rachana Sathish; Debdoot Sheet (CoRR, 2019)

KarNet: An Efficient Boolean Function Simplifier. - Shanka Subhra Mondal; Abhilash Nandy; Ritesh Agrawal; Debashis Sen (CoRR, 2019)

Investment Ranking Challenge: Identifying the best performing stocks based on their semi-annual returns. - Shanka Subhra Mondal; Sharada Prasanna Mohanty; Benjamin Harlander; Mehmet Köseoglu; Lance Rane; Kirill Romanov; Wei-Kai Liu; Pranoot Hatwar; Marcel Salathé; Joe Byrum (CoRR, 2019)

Scheduling of Time-Varying Workloads Using Reinforcement Learning. - Shanka Subhra Mondal; Nikhil Sheoran; Subrata Mitra (AAAI, 2021)

Learning to reason over visual objects. - Shanka Subhra Mondal; Taylor Whittington Webb; Jonathan Cohen 003 (ICLR, 2023)

Systematic Visual Reasoning through Object-Centric Relational Abstraction. - Taylor W. Webb; Shanka Subhra Mondal; Jonathan D. Cohen 003 (NeurIPS, 2023)

Determinantal Point Process Attention Over Grid Codes Supports Out of Distribution Generalization. - Shanka Subhra Mondal; Steven Frankland; Taylor W. Webb; Jonathan D. Cohen 003 (CoRR, 2023)

A Prefrontal Cortex-inspired Architecture for Planning in Large Language Models. - Taylor W. Webb; Shanka Subhra Mondal; Chi Wang; Brian Krabach; Ida Momennejad (CoRR, 2023)

Slot Abstractors: Toward Scalable Abstract Visual Reasoning. - Shanka Subhra Mondal; Jonathan D. Cohen 003; Taylor Whittington Webb (ICML, 2024)