publications

publications by categories in reversed chronological order, auto-generated from Google Scholar

2025

  1. Generalizable, real-time neural decoding with hybrid state-space models
    Avery Hee-Woon Ryoo, Nanda H. Krishna, Ximeng Mao, Mehdi Azabou, Eva L. Dyer, and 2 more authors
    2025
  2. MesaNet: Sequence Modeling by Locally Optimal Test-Time Training
    Johannes Oswald, Nino Scherrer, Seijin Kobayashi, Luca Versari, Songlin Yang, and 11 more authors
    2025
  3. Bidirectional Information Flow (BIF) – A Sample Efficient Hierarchical Gaussian Process for Bayesian Optimization
    Juan D. Guerra, Thomas Garbay, Guillaume Lajoie, and Marco Bonizzato
    2025
  4. Multi-agent cooperation through learning-aware policy gradients
    Alexander Meulemans, Seijin Kobayashi, Johannes Von Oswald, Nino Scherrer, Eric Elmoznino, and 4 more authors
    In The Thirteenth International Conference on Learning Representations, 2025
  5. Accelerating Training with Neuron Interaction and Nowcasting Networks
    Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, and Simon Lacoste-Julien
    In The Thirteenth International Conference on Learning Representations, 2025
  6. Expressivity of Neural Networks with Random Weights and Learned Biases
    Ezekiel Williams, Alexandre Payeur, Avery Hee-Woon Ryoo, Thomas Jiralerspong, Matthew G Perich, and 2 more authors
    In The Thirteenth International Conference on Learning Representations, 2025
  7. Latent Representation Learning for Multimodal Brain Activity Translation
    Arman Afrasiyabi, Dhananjay Bhaskar, Erica L. Busch, Laurent Caplette, Rahul Singh, and 3 more authors
    In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2025
  8. In-Context Parametric Inference: Point or Distribution Estimators?
    Sarthak Mittal, Yoshua Bengio, Nikolay Malkin, and Guillaume Lajoie
    May 2025
  9. Amortized In-Context Bayesian Posterior Estimation
    Sarthak Mittal, Niels Leif Bracher, Guillaume Lajoie, Priyank Jaini, and Marcus Brubaker
    May 2025
  10. KBS
    Robust prior-biased acquisition function for human-in-the-loop Bayesian optimization
    Rose Guay-Hottin, Lison Kardassevitch, Hugo Pham, Guillaume Lajoie, and Marco Bonizzato
    Knowledge-Based Systems, May 2025
  11. Learning Versatile Optimizers on a Compute Diet
    Abhinav Moudgil, Boris Knyazev, Guillaume Lajoie, and Eugene Belilovsky
    May 2025
  12. Accelerated learning of a noninvasive human brain-computer interface via manifold geometry
    Erica L. Busch, E. Chandra Fincke, Guillaume Lajoie, Smita Krishnaswamy, and Nicholas B. Turk-Browne
    bioRxiv, May 2025
  13. A Complexity-Based Theory of Compositionality
    Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio, and Guillaume Lajoie
    May 2025
  14. In-context learning and Occam’s razor
    Eric Elmoznino, Tom Marty, Tejas Kasetty, Leo Gagnon, Sarthak Mittal, and 3 more authors
    May 2025
  15. The oneirogen hypothesis: modeling the hallucinatory effects of classical psychedelics in terms of replay-dependent plasticity mechanisms
    Colin Bredenberg, Fabrice Normandin, Blake Richards, and Guillaume Lajoie
    bioRxiv, May 2025
  16. Assistive sensory-motor perturbations influence learned neural representations
    Pavithra Rajeswaran, Alexandre Payeur, Guillaume Lajoie, and Amy L. Orsborn
    bioRxiv, May 2025

2024

  1. Brain-like neural dynamics for behavioral control develop through reinforcement learning
    Olivier Codol, Nanda H. Krishna, Guillaume Lajoie, and Matthew G. Perich
    bioRxiv, May 2024
  2. Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization
    Victor Geadah, Stefan Horoi, Giancarlo Kerg, Guy Wolf, and Guillaume Lajoie
    PLOS Computational Biology, Dec 2024
  3. Brain-like learning with exponentiated gradients
    Jonathan Cornford, Roman Pogodin, Arna Ghosh, Kaiwen Sheng, Brendan A. Bicknell, and 4 more authors
    bioRxiv, Dec 2024
  4. Task-Optimized Artificial Neural Networks Align with Human Brain Activity in a Visual Working Memory Task
    Pravish Sainath, Guillaume Lajoie, and Pierre Bellec
    PsyArXiv, Dec 2024
  5. When can transformers compositionally generalize in-context?
    Seijin Kobayashi, Simon Schug, Yassir Akram, Florian Redhardt, Johannes Oswald, and 3 more authors
    Dec 2024
  6. A benchmark of individual auto-regressive models in a massive fMRI dataset
    François Paugam, Basile Pinsard, Guillaume Lajoie, and Pierre Bellec
    Imaging Neuroscience, Jul 2024
  7. Using neural biomarkers to personalize dosing of vagus nerve stimulation
    Antonin Berthon, Lorenz Wernisch, Myrta Stoukidi, Michael Thornton, Olivier Tessier-Lariviere, and 18 more authors
    Bioelectronic Medicine, Jun 2024
  8. Does learning the right latent variables necessarily improve in-context learning?
    Sarthak Mittal, Eric Elmoznino, Leo Gagnon, Sangnie Bhardwaj, Dhanya Sridhar, and 1 more author
    Jun 2024
  9. Amortizing intractable inference in large language models
    Edward J Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, and 2 more authors
    In The Twelfth International Conference on Learning Representations, Jun 2024
  10. Synaptic Weight Distributions Depend on the Geometry of Plasticity
    Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, and 1 more author
    In The Twelfth International Conference on Learning Representations, Jun 2024
  11. Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
    Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, and 4 more authors
    In The Twelfth International Conference on Learning Representations, Jun 2024
  12. Sufficient conditions for offline reactivation in recurrent neural networks
    Nanda H Krishna, Colin Bredenberg, Daniel Levenstein, Blake Aaron Richards, and Guillaume Lajoie
    In The Twelfth International Conference on Learning Representations, Jun 2024
  13. Delta-AI: Local objectives for amortized inference in sparse graphical models
    Jean-Pierre René Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun, Dragos Secrieru, and 3 more authors
    In The Twelfth International Conference on Learning Representations, Jun 2024
  14. How connectivity structure shapes rich and lazy learning in neural circuits
    Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Todd SheaBrown, and 1 more author
    In The Twelfth International Conference on Learning Representations, Jun 2024
  15. Learning and Aligning Structured Random Feature Networks
    Vivian White, Muawiz Sajjad Chaudhary, Guy Wolf, Guillaume Lajoie, and Kameron Decker Harris
    In ICLR 2024 Workshop on Representational Alignment, Jun 2024
  16. JNE
    Online Bayesian optimization of vagus nerve stimulation
    Lorenz Wernisch, Tristan Edwards, Antonin Berthon, Olivier Tessier-Lariviere, Elvijs Sarkans, and 19 more authors
    Journal of Neural Engineering, Apr 2024
  17. JNE
    Personalized inference for neurostimulation with meta-learning: a case study of vagus nerve stimulation
    Ximeng Mao, Yao-Chuan Chang, Stavros Zanos, and Guillaume Lajoie
    Journal of Neural Engineering, Jan 2024
  18. Connectome-based reservoir computing with the conn2res toolbox
    Laura E. Suárez, Agoston Mihalik, Filip Milisav, Kenji Marshall, Mingze Li, and 3 more authors
    Nature Communications, Jan 2024
  19. Discrete, compositional, and symbolic representations through attractor dynamics
    Andrew Nam, Eric Elmoznino, Nikolay Malkin, James McClelland, Yoshua Bengio, and 1 more author
    Jan 2024
  20. NC
    Sources of richness and ineffability for phenomenally conscious states
    Xu Ji, Eric Elmoznino, George Deane, Axel Constant, Guillaume Dumas, and 3 more authors
    Neuroscience of Consciousness, Mar 2024

2023

  1. Formalizing locality for normative synaptic plasticity models
    Colin Bredenberg, Ezekiel Williams, Cristina Savin, Blake Richards, and Guillaume Lajoie
    In Advances in Neural Information Processing Systems, Mar 2023
  2. A Unified, Scalable Framework for Neural Population Decoding
    Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, and 5 more authors
    In Advances in Neural Information Processing Systems, Mar 2023
  3. Flexible Phase Dynamics for Bio-Plausible Contrastive Learning
    Ezekiel Williams, Colin Bredenberg, and Guillaume Lajoie
    In Proceedings of the 40th International Conference on Machine Learning, 23–29 jul 2023
  4. Autonomous optimization of neuroprosthetic stimulation parameters that drive the motor cortex and spinal cord outputs in rats and monkeys
    Marco Bonizzato, Rose Guay Hottin, Sandrine L. Côté, Elena Massai, Léo Choinière, and 7 more authors
    Cell Reports Medicine, Apr 2023
  5. Use of Invasive Brain-Computer Interfaces in Pediatric Neurosurgery: Technical and Ethical Considerations
    David Bergeron, Christian Iorio-Morin, Marco Bonizzato, Guillaume Lajoie, Nathalie Orr Gaucher, and 2 more authors
    Journal of Child Neurology, Apr 2023
    Pmid: 37116888
  6. Multi-view manifold learning of human brain-state trajectories
    Erica L. Busch, Jessie Huang, Andrew Benz, Tom Wallenstein, Guillaume Lajoie, and 3 more authors
    Nature Computational Science, Mar 2023
  7. Steerable Equivariant Representation Learning
    Sangnie Bhardwaj, Willie McClinton, Tongzhou Wang, Guillaume Lajoie, Chen Sun, and 2 more authors
    Mar 2023
  8. Learning to Optimize with Recurrent Hierarchical Transformers
    Abhinav Moudgil, Boris Knyazev, Guillaume Lajoie, and Eugene Belilovsky
    In ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, Mar 2023
  9. Neural manifolds and learning regimes in neural-interface tasks
    Alexandre Payeur, Amy L. Orsborn, and Guillaume Lajoie
    bioRxiv, Mar 2023
  10. LEAD: Min-Max Optimization from a Physical Perspective
    Reyhane Askari Hemmat, Amartya Mitra, Guillaume Lajoie, and Ioannis Mitliagkas
    Transactions on Machine Learning Research, Mar 2023
    Featured Certification
  11. How gradient estimator variance and bias impact learning in neural networks
    Arna Ghosh, Yuhan Helena Liu, Guillaume Lajoie, Konrad Kording, and Blake Aaron Richards
    In The Eleventh International Conference on Learning Representations, Mar 2023
  12. Reliability of CKA as a Similarity Measure in Deep Learning
    MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, and 1 more author
    In The Eleventh International Conference on Learning Representations, Mar 2023
  13. Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer
    Damjan Kalajdzievski, Ximeng Mao, Pascal Fortier-Poisson, Guillaume Lajoie, and Blake Aaron Richards
    Transactions on Machine Learning Research, Mar 2023

2022

  1. Is a Modular Architecture Enough?
    Sarthak Mittal, Yoshua Bengio, and Guillaume Lajoie
    In Advances in Neural Information Processing Systems, Mar 2022
  2. Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
    Yuhan Helena Liu, Arna Ghosh, Blake Richards, Eric Shea-Brown, and Guillaume Lajoie
    In Advances in Neural Information Processing Systems, Mar 2022
  3. A connectomics-based taxonomy of mammals
    Laura E Suarez, Yossi Yovel, Martijn P Heuvel, Olaf Sporns, Yaniv Assaf, and 2 more authors
    eLife, Nov 2022
  4. From Points to Functions: Infinite-dimensional Representations in Diffusion Models
    Sarthak Mittal, Guillaume Lajoie, Stefan Bauer, and Arash Mehrjou
    Nov 2022
  5. Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty
    Thomas George, Guillaume Lajoie, and Aristide Baratin
    Transactions on Machine Learning Research, Nov 2022
  6. Learning Shared Neural Manifolds from Multi-Subject FMRI Data
    Jessie Huang, Erica Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, and 4 more authors
    In 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP), Aug 2022
  7. Multi-scale Feature Learning Dynamics: Insights for Double Descent
    Mohammad Pezeshki, Amartya Mitra, Yoshua Bengio, and Guillaume Lajoie
    In Proceedings of the 39th International Conference on Machine Learning, 17–23 jul 2022
  8. On Neural Architecture Inductive Biases for Relational Tasks
    Giancarlo Kerg, Sarthak Mittal, David Rolnick, Yoshua Bengio, Blake Richards, and 1 more author
    17–23 jul 2022
  9. Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion
    Matthew Farrell, Stefano Recanatesi, Timothy Moore, Guillaume Lajoie, and Eric Shea-Brown
    Nature Machine Intelligence, Jun 2022
  10. Performance-gated deliberation: A context-adapted strategy in which urgency is opportunity cost
    Maximilian Puelma Touzel, Paul Cisek, and Guillaume Lajoie
    PLOS Computational Biology, May 2022
  11. Embedding Signals on Graphs with Unbalanced Diffusion Earth Mover’s Distance
    Alexander Tong, Guillaume Huguet, Dennis Shung, Amine Natik, Manik Kuchroo, and 3 more authors
    In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2022
  12. IDA
    Exploring the Geometry and Topology of Neural Network Loss Landscapes
    Stefan Horoi, Jessie Huang, Bastian Rieck, Guillaume Lajoie, Guy Wolf, and 1 more author
    In Advances in Intelligent Data Analysis XX, May 2022
  13. Continuous-Time Meta-Learning with Forward Mode Differentiation
    Tristan Deleu, David Kanaa, Leo Feng, Giancarlo Kerg, Yoshua Bengio, and 2 more authors
    In International Conference on Learning Representations, May 2022
  14. On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools
    Ryan Vogt, Maximilian Puelma Touzel, Eli Shlizerman, and Guillaume Lajoie
    Frontiers in Applied Mathematics and Statistics, May 2022
  15. Clarifying MCMC-based training of modern EBMs : Contrastive Divergence versus Maximum Likelihood
    Léo Gagnon and Guillaume Lajoie
    May 2022
  16. Compositional Attention: Disentangling Search and Retrieval
    Sarthak Mittal, Sharath Chandra Raparthy, Irina Rish, Yoshua Bengio, and Guillaume Lajoie
    In International Conference on Learning Representations, May 2022
  17. Efficient and robust multi-task learning in the brain with modular latent primitives
    Christian David Márton, Léo Gagnon, Guillaume Lajoie, and Kanaka Rajan
    May 2022

2021

  1. Gradient Starvation: A Learning Proclivity in Neural Networks
    Mohammad Pezeshki, Oumar Kaba, Yoshua Bengio, Aaron C Courville, Doina Precup, and 1 more author
    In Advances in Neural Information Processing Systems, May 2021
  2. Learning function from structure in neuromorphic networks
    Laura E. Suárez, Blake A. Richards, Guillaume Lajoie, and Bratislav Misic
    Nature Machine Intelligence, Aug 2021
  3. Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks
    Germán Abrevaya, Guillaume Dumas, Aleksandr Y. Aravkin, Peng Zheng, Jean-Christophe Gagnon-Audet, and 7 more authors
    Neural Computation, Jul 2021
  4. Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
    Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal ALIAS PARTH GOYAL, Guillaume Lajoie, and 5 more authors
    In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, Jul 2021
  5. NER
    PNS-GAN: Conditional Generation of Peripheral Nerve Signals in the Wavelet Domain via Adversarial Networks
    Olivier Tessier-Larivière, Luke Y. Prince, Pascal Fortier-Poisson, Lorenz Wernisch, Oliver Armitage, and 3 more authors
    In 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), May 2021
  6. Implicit Regularization via Neural Feature Alignment
    Aristide Baratin, Thomas George, César Laurent, R Devon Hjelm, Guillaume Lajoie, and 2 more authors
    In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, 13–15 apr 2021
  7. Predictive learning as a network mechanism for extracting low-dimensional latent space representations
    Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie, Sophie Deneve, Mattia Rigotti, and 1 more author
    Nature Communications, Mar 2021

2020

  1. Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
    Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, and 3 more authors
    In Proceedings of the 37th International Conference on Machine Learning, 13–18 jul 2020
  2. Advantages of biologically-inspired adaptive neural activation in RNNs during learning
    Victor Geadah, Giancarlo Kerg, Stefan Horoi, Guy Wolf, and Guillaume Lajoie
    13–18 jul 2020
  3. Hierarchical Bayesian Optimization of Spatiotemporal Neurostimulations for Targeted Motor Outputs
    Samuel Laferrière, Marco Bonizzato, Sandrine L. Côté, Numa Dancause, and Guillaume Lajoie
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, Jun 2020
  4. Internal representation dynamics and geometry in recurrent neural networks
    Stefan Horoi, Guillaume Lajoie, and Guy Wolf
    Jun 2020
  5. Untangling tradeoffs between recurrence and self-attention in artificial neural networks
    Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal ALIAS PARTH GOYAL, Kyle Goyette, Yoshua Bengio, and 1 more author
    In Advances in Neural Information Processing Systems, Jun 2020
  6. Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks
    Stefan Horoi, Victor Geadah, Guy Wolf, and Guillaume Lajoie
    In Advances in Artificial Intelligence, Jun 2020

2019

  1. Dimensionality compression and expansion in Deep Neural Networks
    Stefano Recanatesi, Matthew Farrell, Madhu Advani, Timothy Moore, Guillaume Lajoie, and 1 more author
    Jun 2019
  2. Cortical network mechanisms of anodal and cathodal transcranial direct current stimulation in awake primates
    Andrew R. Bogaard, Guillaume Lajoie, Hayley Boyd, Andrew Morse, Stavros Zanos, and 1 more author
    bioRxiv, Jun 2019
  3. Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
    Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, and 2 more authors
    In Advances in Neural Information Processing Systems, Jun 2019

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