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← Authors

Guillaume Lajoie

27 papers · 2019–2025 · 4 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (12)
🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (23) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (11) πŸ—ƒοΈ Keyword Collector (64) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (27) ⚑ Prolific Year (5) ❓ The Questioner (2)

Conferences

ICLR (13) NIPS (7) ICML (6) AISTATS (1)

Top co-authors

Yoshua Bengio (11) Eric Elmoznino (5) Sarthak Mittal (5) Blake Aaron Richards (4) Ezekiel Williams (3) Arna Ghosh (3) Giancarlo Kerg (3) Colin Bredenberg (3) Yuhan Helena Liu (3) Blake Richards (3)

Keywords

recurrent neural network (3) vanishing gradient (2) feature learning (2) biological plausibility (2) out-of-distribution generalization (2) double descent (1) contrastive learning (1) transformer architecture (1) local learning (1) transfer learning (1) neuromorphic computing (1) temporal dynamics (1) attention mechanism (1) multimodal learning (1) neural tangent kernel (1) gradient descent (1) few-shot learning (1) loss landscape (1) synaptic plasticity (1) deep learning theory (1)

Papers

Multi-agent cooperation through learning-aware policy gradients ICLR 2025 Does learning the right latent variables necessarily improve in-context learning? ICML 2025 In-Context Learning and Occam’s Razor ICML 2025 Towards a Formal Theory of Representational Compositionality ICML 2025 Accelerating Training with Neuron Interaction and Nowcasting Networks ICLR 2025 Expressivity of Neural Networks with Random Weights and Learned Biases ICLR 2025 Synaptic Weight Distributions Depend on the Geometry of Plasticity ICLR 2024 Sufficient conditions for offline reactivation in recurrent neural networks ICLR 2024 Delta-AI: Local objectives for amortized inference in sparse graphical models ICLR 2024 Amortizing intractable inference in large language models ICLR 2024 How connectivity structure shapes rich and lazy learning in neural circuits ICLR 2024 Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency ICLR 2024 Reliability of CKA as a Similarity Measure in Deep Learning ICLR 2023 Flexible Phase Dynamics for Bio-Plausible Contrastive Learning ICML 2023 A Unified, Scalable Framework for Neural Population Decoding NIPS 2023 Formalizing locality for normative synaptic plasticity models NIPS 2023 How gradient estimator variance and bias impact learning in neural networks ICLR 2023 Continuous-Time Meta-Learning with Forward Mode Differentiation ICLR 2022 Compositional Attention: Disentangling Search and Retrieval ICLR 2022 Multi-scale Feature Learning Dynamics: Insights for Double Descent ICML 2022 Is a Modular Architecture Enough? NIPS 2022 Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules NIPS 2022 Gradient Starvation: A Learning Proclivity in Neural Networks NIPS 2021 Implicit Regularization via Neural Feature Alignment AISTATS 2021 Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules ICML 2020 Untangling tradeoffs between recurrence and self-attention in artificial neural networks NIPS 2020 Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics NIPS 2019