Anoushka Harit

According to our database, Anoushka Harit authored at least 21 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

EWC-Guided Diffusion Replay for Exemplar-Free Continual Learning in Medical Imaging.

Anoushka Harit, William Prew, Zhongtian Sun, Florian Markowetz

CoRR, September, 2025

ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations.

Anoushka Harit, Zhongtian Sun, Suncica Hadzidedic

CoRR, July, 2025

Causal Spherical Hypergraph Networks for Modelling Social Uncertainty.

Anoushka Harit, Zhongtian Sun

CoRR, June, 2025

Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning.

Zhongtian Sun, Anoushka Harit, Pietro Lio

CoRR, June, 2025

Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks.

Zhongtian Sun, Anoushka Harit, Jongmin Yu, Jingyun Wang, Pietro Liò

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs.

Zhongtian Sun, Anoushka Harit

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning.

Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Christl A. Donnelly, Pietro Liò

Proceedings of the Knowledge Graphs - 14th International Joint Conference, 2025

Quantifying Semantic Shift in Financial NLP: Robust Metrics for Market Prediction Stability.

Zhongtian Sun, Chenghao Xiao, Anoushka Harit, Jongmin Yu

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere.

Anoushka Harit, Zhongtian Sun, Jongmin Yu

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

2024

Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs.

Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed

Proceedings of the 3rd International Workshop on Natural Language Processing for Knowledge Graph Creation co-located with 20th International Conference on Semantic Systems (SEMANTiCS 2024), 2024

2023

Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation.

Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed

AI Open, January, 2023

MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model.

Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio

AI Open, January, 2023

Deep Latent Variable Models for Semi-supervised Paraphrase Generation.

Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed

CoRR, 2023

A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning.

Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Efficient Uncertainty Quantification for Multilabel Text Classification.

Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed

Proceedings of the International Joint Conference on Neural Networks, 2022

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations.

Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed

Proceedings of the International Joint Conference on Neural Networks, 2022

Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification.

Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Lei Shi, Noura Al Moubayed

Proceedings of the International Joint Conference on Neural Networks, 2022

Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention.

Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Noura Al Moubayed, Lei Shi

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums.

Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs.

Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Lei Shi

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data.

Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Noura Al Moubayed

Proceedings of the International Joint Conference on Neural Networks, 2021