A wearable sensor based multi-criteria-decision-system for real-time seizure detection. - Abdullah Ahmed; Waqas Ahmad; Muhammad Jazib Khan; Shoaib Ahmed Siddiqui; Hammad M. Cheema (EMBC, 2017)

Deep One-Class Classification. - Lukas Ruff; Nico Görnitz; Lucas Deecke; Shoaib Ahmed Siddiqui; Robert A. Vandermeulen; Alexander Binder; Emmanuel Müller; Marius Kloft (ICML, 2018)

DeCNT: Deep Deformable CNN for Table Detection. - Shoaib Ahmed Siddiqui; Muhammad Imran Malik; Stefan Agne; Andreas Dengel 001; Sheraz Ahmed (IEEE Access, 2018)

KINN: Incorporating Expert Knowledge in Neural Networks. - Muhammad Ali Chattha; Shoaib Ahmed Siddiqui; Muhammad Imran Malik; Ludger van Elst; Andreas Dengel 001; Sheraz Ahmed (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2019)

OGaze: Gaze Prediction in Egocentric Videos for Attentional Object Selection. - Mohammad Al-Naser; Shoaib Ahmed Siddiqui; Hiroki Ohashi; Sheraz Ahmed; Nakamura Katsuyki; Takuto Sato; Andreas Dengel 001 (DICTA, 2019)

DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting. - Muhammad Ali Chattha; Shoaib Ahmed Siddiqui; Mohsin Munir; Muhammad Imran Malik; Ludger van Elst; Andreas Dengel 001; Sheraz Ahmed (ICANN (2), 2019)

TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features. - Mohsin Munir; Shoaib Ahmed Siddiqui; Ferdinand Küsters; Dominique Mercier; Andreas Dengel 001; Sheraz Ahmed (ICANN (Workshop), 2019)

DeepTabStR: Deep Learning based Table Structure Recognition. - Shoaib Ahmed Siddiqui; Imran Ali Fateh; Syed Tahseen Raza Rizvi; Andreas Dengel 001; Sheraz Ahmed (ICDAR, 2019)

Rethinking Semantic Segmentation for Table Structure Recognition in Documents. - Shoaib Ahmed Siddiqui; Pervaiz Iqbal Khan; Andreas Dengel 001; Sheraz Ahmed (ICDAR, 2019)

DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series. - Mohsin Munir; Shoaib Ahmed Siddiqui; Andreas Dengel 001; Sheraz Ahmed (IEEE Access, 2019)

TSViz: Demystification of Deep Learning Models for Time-Series Analysis. - Shoaib Ahmed Siddiqui; Dominique Mercier; Mohsin Munir; Andreas Dengel 001; Sheraz Ahmed (IEEE Access, 2019)

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. - Muhammad Naseer Bajwa; Muhammad Imran Malik; Shoaib Ahmed Siddiqui; Andreas Dengel 001; Faisal Shafait; Wolfgang Neumeier; Sheraz Ahmed (BMC Medical Informatics Decis. Mak., 2019)

Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. - Muhammad Naseer Bajwa; Muhammad Imran Malik; Shoaib Ahmed Siddiqui; Andreas Dengel 001; Faisal Shafait; Wolfgang Neumeier; Sheraz Ahmed (BMC Medical Informatics Decis. Mak., 2019)

FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models. - Mohsin Munir; Shoaib Ahmed Siddiqui; Muhammad Ali Chattha; Andreas Dengel 001; Sheraz Ahmed (Sensors, 2019)

Benchmarking Adversarial Attacks and Defenses for Time-Series Data. - Shoaib Ahmed Siddiqui; Andreas Dengel 001; Sheraz Ahmed (ICONIP (3), 2020)

Interpreting Deep Models through the Lens of Data. - Dominique Mercier; Shoaib Ahmed Siddiqui; Andreas Dengel 001; Sheraz Ahmed (IJCNN, 2020)

Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks. - Muhammad Naseer Bajwa; Suleman Khurram; Mohsin Munir; Shoaib Ahmed Siddiqui; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (IEEE Access, 2020)

Reliable Model Compression via Label-Preservation-Aware Loss Functions. - Vinu Joseph; Shoaib Ahmed Siddiqui; Aditya Bhaskara; Ganesh Gopalakrishnan; Saurav Muralidharan; Michael Garland; Sheraz Ahmed; Andreas Dengel 001 (CoRR, 2020)

Benchmarking Deep Learning Models for Classification of Book Covers. - Adriano Lucieri; Huzaifa Sabir; Shoaib Ahmed Siddiqui; Syed Tahseen Raza Rizvi; Brian Kenji Iwana; Seiichi Uchida; Andreas Dengel 001; Sheraz Ahmed (SN Comput. Sci., 2020)

Understanding and Mitigating the Impact of Model Compression for Document Image Classification. - Shoaib Ahmed Siddiqui; Andreas Dengel 001; Sheraz Ahmed (ICDAR (1), 2021)

Analyzing the Potential of Zero-Shot Recognition for Document Image Classification. - Shoaib Ahmed Siddiqui; Andreas Dengel 001; Sheraz Ahmed (ICDAR (4), 2021)

Self-Supervised Representation Learning for Document Image Classification. - Shoaib Ahmed Siddiqui; Andreas Dengel 001; Sheraz Ahmed (IEEE Access, 2021)

Identifying Layers Susceptible to Adversarial Attacks. - Shoaib Ahmed Siddiqui; Thomas M. Breuel (CoRR, 2021)

TSInsight: A Local-Global Attribution Framework for Interpretability in Time Series Data. - Shoaib Ahmed Siddiqui; Dominique Mercier; Andreas Dengel 001; Sheraz Ahmed (Sensors, 2021)

Are Deep Models Robust against Real Distortions? A Case Study on Document Image Classification. - Saifullah Saifullah; Shoaib Ahmed Siddiqui; Stefan Agne; Andreas Dengel 001; Sheraz Ahmed (ICPR, 2022)

Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification. - Adriano Lucieri; Fabian Schmeisser; Christoph Peter Balada; Shoaib Ahmed Siddiqui; Andreas Dengel 001; Sheraz Ahmed (MIUA, 2022)

Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training. - Pervaiz Iqbal Khan; Shoaib Ahmed Siddiqui; Imran Razzak; Andreas Dengel 001; Sheraz Ahmed (IEEE Access, 2022)

Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training. - Pervaiz Iqbal Khan; Shoaib Ahmed Siddiqui; Imran Razzak; Andreas Dengel 001; Sheraz Ahmed (CoRR, 2022)

Domain Generalization for Robust Model-Based Offline Reinforcement Learning. - Alan Clark; Shoaib Ahmed Siddiqui; Robert Kirk; Usman Anwar; Stephen Chung; David Krueger 001 (CoRR, 2022)

A Simple Yet Fully Adaptive PSO Algorithm for Global Peak Tracking of Photovoltaic Array Under Partial Shading Conditions. - Saba Javed; Kashif Ishaque; Shoaib Ahmed Siddiqui; Zainal Salam (IEEE Trans. Ind. Electron., 2022)

Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics. - Shoaib Ahmed Siddiqui; Nitarshan Rajkumar; Tegan Maharaj; David Krueger 001; Sara Hooker (ICLR, 2023)

Investigating the Nature of 3D Generalization in Deep Neural Networks. - Shoaib Ahmed Siddiqui; David Krueger 001; Thomas M. Breuel (CoRR, 2023)

A deeper look at depth pruning of LLMs. - Shoaib Ahmed Siddiqui; Xin Dong 009; Greg Heinrich; Thomas M. Breuel; Jan Kautz; David Krueger 001; Pavlo Molchanov 001 (CoRR, 2024)

Permissive Information-Flow Analysis for Large Language Models. - Shoaib Ahmed Siddiqui; Radhika Gaonkar; Boris Köpf; David Krueger 001; Andrew Paverd; Ahmed Salem 001; Shruti Tople; Lukas Wutschitz; Menglin Xia; Santiago Zanella-Béguelin (CoRR, 2024)

On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Perspective. - Shoaib Ahmed Siddiqui; Yanzhi Chen; Juyeon Heo; Menglin Xia; Adrian Weller (CoRR, 2024)

Exploring the design space of deep-learning-based weather forecasting systems. - Shoaib Ahmed Siddiqui; Jean Kossaifi; Boris Bonev; Christopher B. Choy; Jan Kautz; David Krueger 001; Kamyar Azizzadenesheli (CoRR, 2024)

Blockwise Self-Supervised Learning at Scale. - Shoaib Ahmed Siddiqui; David Krueger 001; Yann LeCun; Stéphane Deny (Trans. Mach. Learn. Res., 2024)

On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Evaluation Framework. - Shoaib Ahmed Siddiqui; Yanzhi Chen; Juyeon Heo; Menglin Xia; Adrian Weller (COLING, 2025)

Protecting against simultaneous data poisoning attacks. - Neel Alex; Shoaib Ahmed Siddiqui; Amartya Sanyal; David Krueger 001 (ICLR, 2025)

JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs. - Aliaksandra Shysheya; John Bronskill; James Requeima; Shoaib Ahmed Siddiqui; Javier Gonzalez; David Duvenaud; Richard E. Turner (CoRR, 2025)

From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization. - Shoaib Ahmed Siddiqui; Adrian Weller; David Krueger 001; Gintare Karolina Dziugaite; Michael Curtis Mozer; Eleni Triantafillou (CoRR, 2025)