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Ekdeep Singh Lubana
Ekdeep Singh Lubana
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
A Gradient Flow Framework For Analyzing Network Pruning
ES Lubana, RP Dick
International Conference on Learning Representations (ICLR) (spotlight), 2021
472021
Augmentations in graph contrastive learning: Current methodological flaws & towards better practices
P Trivedi, ES Lubana, Y Yan, Y Yang, D Koutra
Proceedings of the ACM Web Conference 2022, 1538-1549, 2022
432022
Beyond BatchNorm: towards a unified understanding of normalization in deep learning
ES Lubana, R Dick, H Tanaka
Advances in Neural Information Processing Systems (NeurIPS), 2021
422021
Mechanistic Mode Connectivity
ES Lubana, EJ Bigelow, RP Dick, D Krueger, H Tanaka
International Conference on Machine Learning (ICML), 2023
40*2023
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
ES Lubana, CI Tang, F Kawsar, RP Dick, A Mathur
International Conference on Machine Learning (ICML) (spotlight), 2022
402022
Minimalistic image signal processing for deep learning applications
ES Lubana, RP Dick, V Aggarwal, PM Pradhan
2019 IEEE International Conference on Image Processing (ICIP), 4165-4169, 2019
33*2019
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
S Jain*, R Kirk*, ES Lubana*, RP Dick, H Tanaka, E Grefenstette, ...
International Conference on Learning Representations (ICLR), 2024
212024
Foundational Challenges in Assuring Alignment and Safety of Large Language Models
U Anwar, A Saparov*, J Rando*, D Paleka*, M Turpin*, P Hase*, ...
arXiv preprint arXiv:2404.09932, 2024
192024
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
M Okawa*, ES Lubana*, RP Dick, H Tanaka*
Advances in Neural Information Processing Systems (NeurIPS), 2023
172023
Analyzing data-centric properties for graph contrastive learning
P Trivedi, ES Lubana, M Heimann, D Koutra, J Thiagarajan
Advances in Neural Information Processing Systems (NeurIPS), 2022
16*2022
What shapes the loss landscape of self-supervised learning?
L Ziyin, ES Lubana, M Ueda, H Tanaka
International Conference on Learning Representations (ICLR), 2023
152023
How do quadratic regularizers prevent catastrophic forgetting: The role of interpolation
ES Lubana, P Trivedi, D Koutra, R Dick
Conference on Lifelong Learning Agents (CoLLAs), 2021
13*2021
How capable can a transformer become? a study on synthetic, interpretable tasks
R Ramesh, M Khona, RP Dick, H Tanaka, ES Lubana
International Conference on Machine Learning (ICML), 2023
6*2023
In-Context Learning Dynamics with Random Binary Sequences
EJ Bigelow, ES Lubana, RP Dick, H Tanaka, TD Ullman
International Conference on Learning Representations (ICLR), 2024
12024
FoMo rewards: Can we cast foundation models as reward functions?
ES Lubana, J Brehmer, P De Haan, T Cohen
NeurIPS workshop on Foundation Models for Decision Making, 2023
12023
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Articles 1–15