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Publication search results
found 26 matches
- 2024
- Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Hisham Husain, Anton van den Hengel:
Improving the Convergence of Dynamic NeRFs via Optimal Transport. ICLR 2024 - K. M. Arefeen Sultan, Md. Hasibul Husain Hisham, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward V. R. DiBella, Shireen Y. Elhabian:
HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment. MICCAI (1) 2024: 275-284 - Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen:
Rejection via Learning Density Ratios. CoRR abs/2405.18686 (2024) - K. M. Arefeen Sultan, Md. Hasibul Husain Hisham, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward V. R. DiBella, Shireen Y. Elhabian:
HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment. CoRR abs/2407.07254 (2024) - Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen:
Self-Supervision Improves Diffusion Models for Tabular Data Imputation. CoRR abs/2407.18013 (2024) - Hisham Husain, Julien Monteil:
Geometric Collaborative Filtering with Convergence. CoRR abs/2410.03064 (2024) - 2023
- Pak Shen Choong, Hishamuddin Zainuddin, Kar Tim Chan, Sharifah Kartini Said Husain:
Special core tensors of multi-qubit states and the concurrency of three lines. Quantum Inf. Process. 22(5): 193 (2023) - Peixia Li, Pulak Purkait, Thalaiyasingam Ajanthan, Majid Abdolshah, Ravi Garg, Hisham Husain, Chenchen Xu, Stephen Gould, Wanli Ouyang, Anton van den Hengel:
Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups. ICCV 2023: 1229-1238 - Alexander Soen, Hisham Husain, Richard Nock:
Fair Densities via Boosting the Sufficient Statistics of Exponential Families. ICML 2023: 32105-32144 - Hisham Husain, Vu Nguyen, Anton van den Hengel:
Distributionally Robust Bayesian Optimization with φ-divergences. NeurIPS 2023 - 2022
- Hisham Husain, Jeremias Knoblauch:
Adversarial Interpretation of Bayesian Inference. ALT 2022: 553-572 - Ishrat Jahan Eliza, Md. Hasibul Husain Hisham, Mohammad Nuwaisir Rahman, Ajwad Akil, Abir Mohammad Turza, Fahim Morshed, Nazmus Sakib, Sriram Chellappan, A. B. M. Alim Al Islam:
Note: CORONOSIS: Corona Prognosis via a Global Lens to Enable Efficient Policy-making Both at Global and Local Levels. COMPASS 2022: 650-660 - Hisham Husain, Vu Nguyen, Anton van den Hengel:
Distributionally Robust Bayesian Optimization with φ-divergences. CoRR abs/2203.02128 (2022) - 2021
- Hisham Husain, Kamil Ciosek, Ryota Tomioka:
Regularized Policies are Reward Robust. AISTATS 2021: 64-72 - Hisham Husain, Kamil Ciosek, Ryota Tomioka:
Regularized Policies are Reward Robust. CoRR abs/2101.07012 (2021) - 2020
- Pak Shen Choong, Hishamuddin Zainuddin, Kar Tim Chan, Sharifah Kartini Said Husain:
Higher-order singular value decomposition and the reduced density matrices of three qubits. Quantum Inf. Process. 19(9): 338 (2020) - Hisham Husain, Borja Balle, Zac Cranko, Richard Nock:
Local Differential Privacy for Sampling. AISTATS 2020: 3404-3413 - Jeremias Knoblauch, Hisham Husain, Tom Diethe:
Optimal Continual Learning has Perfect Memory and is NP-hard. ICML 2020: 5327-5337 - Hisham Husain:
Distributional Robustness with IPMs and links to Regularization and GANs. NeurIPS 2020 - Hisham Husain:
Distributional Robustness with IPMs and links to Regularization and GANs. CoRR abs/2006.04349 (2020) - Jeremias Knoblauch, Hisham Husain, Tom Diethe:
Optimal Continual Learning has Perfect Memory and is NP-hard. CoRR abs/2006.05188 (2020) - Zakaria Mhammedi, Hisham Husain:
Risk-Monotonicity via Distributional Robustness. CoRR abs/2011.14126 (2020) - Alexander Soen, Hisham Husain, Richard Nock:
Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers. CoRR abs/2012.00188 (2020) - 2019
- Hisham Husain, Richard Nock, Robert C. Williamson:
A Primal-Dual link between GANs and Autoencoders. NeurIPS 2019: 413-422 - Hisham Husain, Richard Nock, Robert C. Williamson:
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds. CoRR abs/1902.00985 (2019) - 2018
- Hisham Husain, Zac Cranko, Richard Nock:
Integral Privacy for Density Estimation with Approximation Guarantees. CoRR abs/1806.04819 (2018)
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