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Lubana, Ekdeep Singh

  1. Foundational Challenges in Assuring Alignment and Safety of Large Language Models
    2024/04/15 by Anwar, Usman, Abulhair Saparov, Saparov, Abulhair +76 · 31 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  2. Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
    2024/06/27 by Core Francisco Park, Maya Okawa, Park, Core Francisco +8 · 5 voices · 6 citations
    Psychology · #cs.LG #cs.AI
  3. Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
    2023/10/13 by Okawa, Maya, Lubana, Ekdeep Singh, Dick, Robert P. +1 · 17 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
    2023/11/21 by Samyak Jain, Jain, Samyak, Robert Kirk +13 · 15 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Topic Modeling #Adversarial Robustness in Machine Learning
  5. Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
    2025/02/18 by Thomas Fel, Fel, Thomas, Ekdeep Singh Lubana +17 · 20 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Multimodal Machine Learning Applications
  6. What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
    2024/07/14 by Jain, Samyak, Lubana, Ekdeep Singh, Oksuz, Kemal +4 · 14 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Mechanistic Mode Connectivity
    2022/11/15 by Ekdeep Singh Lubana, Lubana, Ekdeep Singh, Eric Bigelow +7 · 7 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Neural Networks and Applications
  8. Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry
    2025/03/03 by Sai Sumedh R. Hindupur, Ekdeep Singh Lubana, Hindupur, Sai Sumedh R. +5 · 1 voice · 14 citations
    Computer Science · #Image Processing and 3D Reconstruction
  9. Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning
    2021/06/10 by Ekdeep Singh Lubana, Robert P. Dick, Lubana, Ekdeep Singh +3 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  10. Towards Reliable Evaluation of Behavior Steering Interventions in LLMs
    2024/10/22 by Itamar Pres, Laura Ruis, Pres, Itamar +5 · 7 citations
    Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Safety Systems Engineering in Autonomy
  11. How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation
    2021/02/04 by Ekdeep Singh Lubana, Lubana, Ekdeep Singh, Puja Trivedi +5 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  12. In-Context Learning Dynamics with Random Binary Sequences
    2023/10/26 by Eric Bigelow, Ekdeep Singh Lubana, Bigelow, Eric J. +7 · 5 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Language and cultural evolution #Machine Learning (cs.LG) #Topic Modeling
  13. Analyzing (In)Abilities of SAEs via Formal Languages
    2024/10/15 by Menon, Abhinav, Shrivastava, Manish, Krueger, David +1 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit
    2025/06/03 by Valérie Costa, VINICIUS OLIVEIRA DA COSTA, Thomas Fel +9 · 1 voice · 10 citations
    Computer Science · #Data Visualization and Analytics #Video Analysis and Summarization #cs.LG
  15. Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
    2022/05/23 by Lubana, Ekdeep Singh, Tang, Chi Ian, Kawsar, Fahim +2 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. Detecting High-Stakes Interactions with Activation Probes
    2025/06/12 by McKenzie, Alex, Pawar, Urja, Blandfort, Phil +4 · 12 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language
    2024/08/22 by Ekdeep Singh Lubana, Lubana, Ekdeep Singh, Kawaguchi, Kyogo +4 · 5 citations
    Physics and Astronomy · Social Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Language and cultural evolution #Machine Learning (cs.LG) #Opinion Dynamics and Social Influence
  18. Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
    2023/11/21 by Rahul Ramesh, Ekdeep Singh Lubana, Ramesh, Rahul +7 · 3 citations
    Computer Science · Psychology · #AI in Service Interactions #FOS: Computer and information sciences #Human-Automation Interaction and Safety #Machine Learning (cs.LG) #Speech and dialogue systems
  19. In-Context Learning Strategies Emerge Rationally
    2025/06/21 by Daniel Wurgaft, Ekdeep Singh Lubana, Wurgaft, Daniel +9 · 2 voices · 5 citations
    #cs.LG #cs.AI
  20. What shapes the loss landscape of self-supervised learning?
    2022/10/02 by Liu Ziyin, Ziyin, Liu, Ekdeep Singh Lubana +5 · 2 citations
    Computer Science · #Data Analysis #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Physical sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Data Classification #Statistics and Probability (physics.data-an)
  21. Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
    2024/10/22 by Kento Nishi, Nishi, Kento, Rahul Ramesh +9 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Semantic Web and Ontologies
  22. A Gradient Flow Framework For Analyzing Network Pruning
    2020/09/24 by Ekdeep Singh Lubana, Lubana, Ekdeep Singh, Robert P. Dick +1 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Network Security and Intrusion Detection #Software Testing and Debugging Techniques #Software-Defined Networks and 5G
  23. Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices
    2021/11/05 by Trivedi, Puja, Lubana, Ekdeep Singh, Yan, Yujun +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. Abrupt Learning in Transformers: A Case Study on Matrix Completion
    2024/10/29 by Pulkit Gopalani, Ekdeep Singh Lubana, Gopalani, Pulkit +3 · 3 citations
    Computer Science · #Computability, Logic, AI Algorithms #Neural Networks and Applications
  25. Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
    2025/11/01 by Eric Bigelow, Bigelow, Eric, Daniel Wurgaft +12 · 1 voice · 3 citations
    Computer Science · Neuroscience · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Embodied and Extended Cognition
  26. Analyzing Data-Centric Properties for Graph Contrastive Learning
    2022/08/04 by Trivedi, Puja, Lubana, Ekdeep Singh, Heimann, Mark +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. Swing-by Dynamics in Concept Learning and Compositional Generalization
    2024/10/10 by Yang, Yongyi, Park, Core Francisco, Lubana, Ekdeep Singh +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  28. The Impact of Off-Policy Training Data on Probe Generalisation
    2025/11/21 by Nathalie Kirch, Kirch, Nathalie, Samuel Dower +7 · 2 citations
    Computer Science · Neuroscience · #Topic Modeling #Neurobiology of Language and Bilingualism #Speech and dialogue systems
  29. Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
    2024/02/12 by Khona, Mikail, Okawa, Maya, Hula, Jan +5 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Priors in Time: Missing Inductive Biases for Language Model Interpretability
    2025/11/03 by Lubana, Ekdeep Singh, Rager, Can, Hindupur, Sai Sumedh R. +13 · 2 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Multimodal Machine Learning Applications #Topic Modeling