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Career

· Researcher (DCS UofT), University of Toronto - Department of Computer Science2024–

Publications (18)

Multimodal Graph Networks for Compositional Generalization in Visual Question Answering
Neural Information Processing Systems · 2020
60
cited
CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
Advances in Intelligent Systems and Computing · 2018
25
cited
Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset
Neural Information Processing Systems · 2023
19
cited
Ethics of Artificial Intelligence in Surgery
arXiv.org · 2020
15
cited
L(u)PIN: LLM-based Political Ideology Nowcasting
arXiv.org · 2024
4
cited
What Teaches Robots to Walk, Teaches Them to Trade too - Regime Adaptive Execution using Informed Data and LLMs
arXiv.org · 2024
3
cited
ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs
arXiv.org · 2018
2
cited
Reward Learning using Structural Motifs in Inverse Reinforcement Learning
arXiv.org · 2022
2
cited
Higher-Order Transformer Derivative Estimates for Explicit Pathwise Learning Guarantees
2024
1
cited
NIFTY Financial News Headlines Dataset
arXiv.org · 2024
1
cited
CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes
NLPOSS · 2020
Contrastive Similarity Learning for Market Forecasting: The ContraSim Framework
arXiv.org · 2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models
arXiv.org · 2024
H4-Writer: A Text Entry Method Designed For Gaze Controlled Environment with Low KSPC and Spatial Footprint
arXiv.org · 2017
Hype, Media Frenzy, and Mass Societal Hysteria: Perspectives on Human-imitative Intelligence
L EARNING THEN L EVERAGING S TRUCTURES H ELP WITH C OMPLEX , C OMPOSITIONAL , C AUSAL S EQUEN - TIAL T ASKS IN I NVERSE R EINFORCEMENT L EARNING
PrivySense: $\underline{Pri}$ce $\underline{V}$olatilit$\underline{y}$ based $\underline{Sen}$timent$\underline{s}$ $\underline{E}$stimation from Financial News using Machine Learning
2017
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