Guillaume Lajoie
- Gradient Starvation: A Learning Proclivity in Neural Networks
2020/11/18 by Mohammad Pezeshki, Pezeshki, Mohammad, Sékou-Oumar Kaba +9 · 25 citations
Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks #Domain Adaptation and Few-Shot Learning
- A Unified, Scalable Framework for Neural Population Decoding
2023/10/24 by Mehdi Azabou, Vinam Arora, Azabou, Mehdi +17 · 20 citations
Neuroscience · Computer Science · Biochemistry, Genetics and Molecular Biology · #Neural dynamics and brain function #Neural Networks and Applications #Cell Image Analysis Techniques
- Amortizing intractable inference in large language models
2023/10/06 by J. Edward Hu, Edward J. Hu, Hu, Edward J. +12 · 1 voice · 14 citations
Computer Science · Social Sciences · #Topic Modeling #Natural Language Processing Techniques #Computational and Text Analysis Methods
- Reliability of CKA as a Similarity Measure in Deep Learning
2022/10/28 by MohammadReza Davari, Davari, MohammadReza, Stefan Horoi +9 · 8 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Topic Modeling
- Dimensionality compression and expansion in Deep Neural Networks
2019/06/02 by Stefano Recanatesi, Matthew Farrell, Recanatesi, Stefano +9 · 6 citations
Computer Science · #Advanced Image Processing Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning
2025/12/23 by Seijin Kobayashi, Kobayashi, Seijin, Yanick Schimpf +29 · 5 voices · 1 citation
Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Neural Networks and Reservoir Computing
- A Complexity-Based Theory of Compositionality
2024/10/18 by Eric Elmoznino, Elmoznino, Eric, Thomas Jiralerspong +5 · 1 voice · 6 citations
Chemistry · #History and advancements in chemistry
- Synaptic Weight Distributions Depend on the Geometry of Plasticity
2023/05/30 by Roman Pogodin, Jonathan Cornford, Arna Ghosh +3 · 1 voice · 3 citations
#q-bio.NC #cs.LG #cs.NE
- MesaNet: Sequence Modeling by Locally Optimal Test-Time Training
2025/06/05 by Johannes von Oswald, Nino Scherrer, von Oswald, Johannes +30 · 11 citations
Computer Science · #Topic Modeling #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning
- Non-normal Recurrent Neural Network (nnRNN): learning long time\n dependencies while improving expressivity with transient dynamics
2019/05/28 by Giancarlo Kerg, Kerg, Giancarlo, Kyle Goyette +11 · 2 citations
Computer Science · Neuroscience · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Blind Source Separation Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural dynamics and brain function
- Discrete, compositional, and symbolic representations through attractor dynamics
2023/10/03 by Andrew Nam, Nam, Andrew, Eric Elmoznino +9 · 2 voices · 2 citations
Neuroscience · Computer Science · #Neural dynamics and brain function #Neural Networks and Applications #Neural Networks and Reservoir Computing
- How connectivity structure shapes rich and lazy learning in neural circuits
2023/10/12 by Yuhan Helena Liu, Liu, Yuhan Helena, Aristide Baratin +11 · 2 voices · 2 citations
Computer Science · Neuroscience · Engineering · #Neural Networks and Applications #Neural dynamics and brain function #Advanced Memory and Neural Computing
- Generalizable, real-time neural decoding with hybrid state-space models
2025/06/05 by Avery Hee-Woon Ryoo, Nanda H. Krishna, Ryoo, Avery Hee-Woon +11 · 2 voices · 4 citations
Medicine · Neuroscience · #EEG and Brain-Computer Interfaces #Neural dynamics and brain function #Neurological disorders and treatments #cs.LG #q-bio.NC
- Amortized In-Context Bayesian Posterior Estimation
2025/02/10 by Sarthak Mittal, Niels Bracher, Mittal, Sarthak +7 · 5 citations
Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fault Detection and Control Systems #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
2023/10/05 by Tianhong Li, Sangnie Bhardwaj, Li, Tianhong +15 · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques
- Exploring the Geometry and Topology of Neural Network Loss Landscapes
2021/01/31 by Stefan Horoi, Jessie Huang, Horoi, Stefan +9 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Topological and Geometric Data Analysis
- Implicit Regularization via Neural Feature Alignment
2020/08/03 by Aristide Baratin, Thomas George, Baratin, Aristide +11 · 1 citation
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
- Efficient and robust multi-task learning in the brain with modular latent primitives
2021/05/28 by Christian D. Márton, Márton, Christian David, Léo Gagnon +5 · 1 citation
Computer Science · Neuroscience · Engineering · #Neural Networks and Applications #Neural dynamics and brain function #Advanced Memory and Neural Computing
- Predictive learning as a network mechanism for extracting low-dimensional latent space representations
2021/03/03 by Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie +3 · 1 voice · 1 citation
Computer Science · Neuroscience · #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural dynamics and brain function
- Learning shared neural manifolds from multi-subject FMRI data
2021/12/22 by Jessie Huang, Huang, Jessie, Erica L. Busch +15 · 1 citation
Computer Science · Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Neural Networks and Applications #Neurons and Cognition (q-bio.NC) #Signal Processing (eess.SP) #electronic engineering #information engineering
- In-context learning and Occam's razor
2024/10/17 by Eric Elmoznino, Elmoznino, Eric, Tom Marty +12 · 2 citations
Arts and Humanities · Psychology · #Artificial Intelligence (cs.AI) #Emotions and Moral Behavior #Epistemology, Ethics, and Metaphysics #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Accelerating Training with Neuron Interaction and Nowcasting Networks
2024/09/06 by B. A. Knyazev, Abhinav Moudgil, Knyazev, Boris +7 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Embedded Universal Predictive Intelligence: a coherent framework for multi-agent learning
2025/11/27 by Alexander Meulemans, Meulemans, Alexander, Rajai Nasser +23 · 5 voices · 1 citation
#cs.AI
- Does learning the right latent variables necessarily improve in-context learning?
2024/05/29 by Sarthak Mittal, Eric Elmoznino, Mittal, Sarthak +10 · 2 citations
Computer Science · Mathematics · #Intelligent Tutoring Systems and Adaptive Learning #Statistics Education and Methodologies
- Tracing the Representation Geometry of Language Models from Pretraining to Post-training
2025/09/27 by Melody Zixuan Li, Minwei Li, Li, Melody Zixuan +13 · 2 voices · 4 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
- Continuous-Time Meta-Learning with Forward Mode Differentiation
2022/03/02 by Tristan Deleu, Deleu, Tristan, David Kanaa +11 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning
- Multi-agent cooperation through learning-aware policy gradients
2024/10/24 by Alexander Meulemans, Meulemans, Alexander, Seijin Kobayashi +15 · 1 citation
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Complex Systems and Decision Making #FOS: Computer and information sciences #Game Theory and Applications #Reinforcement Learning in Robotics
- Leveraging unlabelled data for generalizable neural population decoding
2026/07/15 by Ximeng Mao, Nanda H. Krishna, Avery Hee-Woon Ryoo +2 · 4 voices
#cs.LG #q-bio.NC