Shoaib Ahmed Siddiqui

54 papers A* 3A 2B 3Misc 1Journal 37Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Position: Capability Control Should be a Separate Goal From Alignment. CoRR Shoaib Ahmed Siddiqui, Eleni Triantafillou, David Krueger, Adrian Weller
2025	J	`jnl`	From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization. CoRR Shoaib Ahmed Siddiqui, Adrian Weller, David Krueger, Gintare Karolina Dziugaite, Michael Curtis Mozer, Eleni Triantafillou
2025	J	`jnl`	JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs. CoRR Aliaksandra Shysheya, John Bronskill, James Requeima, Shoaib Ahmed Siddiqui, Javier González, David Duvenaud, Richard E. Turner
2025	B	`conf`	On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Evaluation Framework. COLING Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller
2025	J	`jnl`	Permissive Information-Flow Analysis for Large Language Models. Trans. Mach. Learn. Res. Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
2025	A*	`conf`	Protecting against simultaneous data poisoning attacks. ICLR Neel Alex, Shoaib Ahmed Siddiqui, Amartya Sanyal, David Krueger
2024	J	`jnl`	A deeper look at depth pruning of LLMs. CoRR Shoaib Ahmed Siddiqui, Xin Dong, Greg Heinrich, Thomas M. Breuel, Jan Kautz, David Krueger, Pavlo Molchanov
2024	J	`jnl`	Blockwise Self-Supervised Learning at Scale. Trans. Mach. Learn. Res. Shoaib Ahmed Siddiqui, David Krueger, Yann LeCun, Stéphane Deny
2024	J	`jnl`	Exploring the design space of deep-learning-based weather forecasting systems. CoRR Shoaib Ahmed Siddiqui, Jean Kossaifi, Boris Bonev, Christopher B. Choy, Jan Kautz, David Krueger, Kamyar Azizzadenesheli
2024	J	`jnl`	On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Perspective. CoRR Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller
2024	J	`jnl`	Permissive Information-Flow Analysis for Large Language Models. CoRR Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
2024	J	`jnl`	Protecting against simultaneous data poisoning attacks. CoRR Neel Alex, Shoaib Ahmed Siddiqui, Amartya Sanyal, David Krueger
2023	J	`jnl`	Blockwise Self-Supervised Learning at Scale. CoRR Shoaib Ahmed Siddiqui, David Krueger, Yann LeCun, Stéphane Deny
2023	J	`jnl`	Investigating the Nature of 3D Generalization in Deep Neural Networks. CoRR Shoaib Ahmed Siddiqui, David Krueger, Thomas M. Breuel
2023	A*	`conf`	Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics. ICLR Shoaib Ahmed Siddiqui, Nitarshan Rajkumar, Tegan Maharaj, David Krueger, Sara Hooker
2022	J	`jnl`	A Simple Yet Fully Adaptive PSO Algorithm for Global Peak Tracking of Photovoltaic Array Under Partial Shading Conditions. IEEE Trans. Ind. Electron. Saba Javed, Kashif Ishaque, Shoaib Ahmed Siddiqui, Zainal Salam
2022	B	`conf`	Are Deep Models Robust against Real Distortions? A Case Study on Document Image Classification. ICPR Saifullah Saifullah, Shoaib Ahmed Siddiqui, Stefan Agne, Andreas Dengel, Sheraz Ahmed
2022	J	`jnl`	Domain Generalization for Robust Model-Based Offline Reinforcement Learning. CoRR Alan Clark, Shoaib Ahmed Siddiqui, Robert Kirk, Usman Anwar, Stephen Chung, David Krueger
2022	J	`jnl`	Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training. IEEE Access Pervaiz Iqbal Khan, Shoaib Ahmed Siddiqui, Imran Razzak, Andreas Dengel, Sheraz Ahmed
2022	J	`jnl`	Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training. CoRR Pervaiz Iqbal Khan, Shoaib Ahmed Siddiqui, Imran Razzak, Andreas Dengel, Sheraz Ahmed
2022	J	`jnl`	Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics. CoRR Shoaib Ahmed Siddiqui, Nitarshan Rajkumar, Tegan Maharaj, David Krueger, Sara Hooker
2022	—	`conf`	Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification. MIUA Adriano Lucieri, Fabian Schmeisser, Christoph Peter Balada, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed
2022	J	`jnl`	Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification. CoRR Adriano Lucieri, Fabian Schmeisser, Christoph Peter Balada, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed
2021	—	`conf`	Analyzing the Potential of Zero-Shot Recognition for Document Image Classification. ICDAR (4) Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed
2021	J	`jnl`	Identifying Layers Susceptible to Adversarial Attacks. CoRR Shoaib Ahmed Siddiqui, Thomas M. Breuel
2021	J	`jnl`	Self-Supervised Representation Learning for Document Image Classification. IEEE Access Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed
2021	J	`jnl`	TSInsight: A Local-Global Attribution Framework for Interpretability in Time Series Data. Sensors Shoaib Ahmed Siddiqui, Dominique Mercier, Andreas Dengel, Sheraz Ahmed
2021	—	`conf`	Understanding and Mitigating the Impact of Model Compression for Document Image Classification. ICDAR (1) Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed
2020	—	`conf`	Benchmarking Adversarial Attacks and Defenses for Time-Series Data. ICONIP (3) Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed
2020	J	`jnl`	Benchmarking Deep Learning Models for Classification of Book Covers. SN Comput. Sci. Adriano Lucieri, Huzaifa Sabir, Shoaib Ahmed Siddiqui, Syed Tahseen Raza Rizvi, Brian Kenji Iwana, Seiichi Uchida, Andreas Dengel, Sheraz Ahmed
2020	J	`jnl`	Benchmarking adversarial attacks and defenses for time-series data. CoRR Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed
2020	J	`jnl`	Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks. IEEE Access Muhammad Naseer Bajwa, Suleman Khurram, Mohsin Munir, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed
2020	B	`conf`	Interpreting Deep Models through the Lens of Data. IJCNN Dominique Mercier, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed
2020	J	`jnl`	Interpreting Deep Models through the Lens of Data. CoRR Dominique Mercier, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed
2020	J	`jnl`	Reliable Model Compression via Label-Preservation-Aware Loss Functions. CoRR Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Sheraz Ahmed, Andreas Dengel
2020	J	`jnl`	TSInsight: A local-global attribution framework for interpretability in time-series data. CoRR Shoaib Ahmed Siddiqui, Dominique Mercier, Andreas Dengel, Sheraz Ahmed
2020	J	`jnl`	Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. CoRR Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed
2019	J	`jnl`	Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. BMC Medical Informatics Decis. Mak. Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed
2019	J	`jnl`	DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series. IEEE Access Mohsin Munir, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed
2019	—	`conf`	DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting. ICANN (2) Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Mohsin Munir, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed
2019	A	`conf`	DeepTabStR: Deep Learning based Table Structure Recognition. ICDAR Shoaib Ahmed Siddiqui, Imran Ali Fateh, Syed Tahseen Raza Rizvi, Andreas Dengel, Sheraz Ahmed
2019	J	`jnl`	FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models. Sensors Mohsin Munir, Shoaib Ahmed Siddiqui, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed
2019	—	`conf`	KINN: Incorporating Expert Knowledge in Neural Networks. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed
2019	J	`jnl`	KINN: Incorporating Expert Knowledge in Neural Networks. CoRR Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger van Elst, Andreas Dengel, Sheraz Ahmed
2019	Misc	`conf`	OGaze: Gaze Prediction in Egocentric Videos for Attentional Object Selection. DICTA Mohammad Al-Naser, Shoaib Ahmed Siddiqui, Hiroki Ohashi, Sheraz Ahmed, Nakamura Katsuyki, Takuto Sato, Andreas Dengel
2019	A	`conf`	Rethinking Semantic Segmentation for Table Structure Recognition in Documents. ICDAR Shoaib Ahmed Siddiqui, Pervaiz Iqbal Khan, Andreas Dengel, Sheraz Ahmed
2019	J	`jnl`	TSViz: Demystification of Deep Learning Models for Time-Series Analysis. IEEE Access Shoaib Ahmed Siddiqui, Dominique Mercier, Mohsin Munir, Andreas Dengel, Sheraz Ahmed
2019	—	`conf`	TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features. ICANN (Workshop) Mohsin Munir, Shoaib Ahmed Siddiqui, Ferdinand Küsters, Dominique Mercier, Andreas Dengel, Sheraz Ahmed
2019	J	`jnl`	TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features. CoRR Mohsin Munir, Shoaib Ahmed Siddiqui, Ferdinand Küsters, Dominique Mercier, Andreas Dengel, Sheraz Ahmed
2019	J	`jnl`	Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. BMC Medical Informatics Decis. Mak. Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed
2018	J	`jnl`	DeCNT: Deep Deformable CNN for Table Detection. IEEE Access Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Stefan Agne, Andreas Dengel, Sheraz Ahmed
2018	A*	`conf`	Deep One-Class Classification. ICML Lukas Ruff, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Müller, Marius Kloft
2018	J	`jnl`	TSViz: Demystification of Deep Learning Models for Time-Series Analysis. CoRR Shoaib Ahmed Siddiqui, Dominik Mercier, Mohsin Munir, Andreas Dengel, Sheraz Ahmed
2017	—	`conf`	A wearable sensor based multi-criteria-decision-system for real-time seizure detection. EMBC Abdullah Ahmed, Waqas Ahmad, Muhammad Jazib Khan, Shoaib Ahmed Siddiqui, Hammad M. Cheema