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Blake A. Richards

  1. Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
    2024/04/02 by David Raposo, Raposo, David, Sam Ritter +11 · 9 voices · 51 citations
    Computer Science · #Natural Language Processing Techniques #cs.CL #cs.LG
  2. Assessing the Scalability of Biologically-Motivated Deep Learning\n Algorithms and Architectures
    2018/07/12 by Sergey Bartunov, Adam Santoro, Bartunov, Sergey +9 · 25 citations
    Engineering · Computer Science · #Advanced Memory and Neural Computing #Neural Networks and Reservoir Computing #Ferroelectric and Negative Capacitance Devices
  3. Towards deep learning with segregated dendrites
    2016/10/01 by Jordan Guergiuev, Guergiuev, Jordan, Timothy Lillicrap +3 · 12 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural dynamics and brain function #Neuroscience and Neural Engineering
  4. Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
    2022/10/15 by Anthony M. Zador, G. Sean Escola, Zador, Anthony +51 · 15 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Reinforcement Learning in Robotics #Computability, Logic, AI Algorithms #Cell Image Analysis Techniques
  5. 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
  6. The neuroconnectionist research programme
    2022/09/08 by Adrien Doerig, Rowan P. Sommers, Doerig, Adrien +19 · 11 citations
    Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Biological sciences #Functional Brain Connectivity Studies #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
  7. From Machine Learning to Robotics: Challenges and Opportunities for\n Embodied Intelligence
    2021/10/28 by Nicholas Roy, Roy, Nicholas, Ingmar Posner +38 · 8 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  8. Towards Scaling Difference Target Propagation by Learning Backprop Targets
    2022/01/31 by Maxence Ernoult, Ernoult, Maxence, Fabrice Normandin +13 · 6 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  9. Sequential predictive learning is a unifying theory for hippocampal representation and replay
    2024/04/29 by Daniel Levenstein, Aleksei Efremov, Roy Henha Eyono +2 · 1 voice · 5 citations
    Neuroscience · #Memory and Neural Mechanisms #Neuroscience and Neuropharmacology Research #Neural dynamics and brain function
  10. 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
  11. Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?
    2025/05/14 by Anthony GX-Chen, Dongyan Lin, GX-Chen, Anthony +11 · 3 voices · 2 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language and cultural evolution #cs.AI #cs.CL
  12. Learning Successor Features the Simple Way
    2024/10/29 by Raymond Chua, Arna Ghosh, Chua, Raymond +7 · 1 voice · 3 citations
    Computer Science · #AI in Service Interactions #cs.LG
  13. Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
    2022/10/12 by Chen Sun, Sun, Chen, Wannan Yang +12 · 1 voice · 2 citations
    Neuroscience · Computer Science · #Neural dynamics and brain function #Neural and Behavioral Psychology Studies #Reinforcement Learning in Robotics
  14. Spike-based causal inference for weight alignment
    2019/10/03 by Jordan Guerguiev, Guerguiev, Jordan, Konrad P. Körding +3 · 1 citation
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Biological sciences #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
  15. Evaluating Multimodal Interactive Agents
    2022/05/26 by Josh Abramson, Abramson, Josh, Arun Ahuja +29 · 1 voice
    Computer Science · #AI in Service Interactions #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling #cs.AI #cs.LG
  16. 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
  17. Parallel and Recurrent Cascade Models as a Unifying Force for Understanding Subcellular Computation
    2021/08/03 by Emerson F. Harkin, Peter R. Shen, Anish Goel +2 · 1 voice · 1 citation
    Biochemistry, Genetics and Molecular Biology · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Cell Image Analysis Techniques #Neural dynamics and brain function
  18. Engineering protein nanoparticles for drug delivery
    2024/02/13 by Blake A Richards, Blake A. Richards, Antonio G Goncalves +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Environmental Science · #Advanced biosensing and bioanalysis techniques #Bacteriophages and microbial interactions #Biochemical and Structural Characterization
  19. Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware Pretraining
    2025/10/21 by Sangyoon Bae, Bae, Sangyoon, Mehdi Azabou +5 · 1 citation
    Neuroscience · Computer Science · #Neural dynamics and brain function #Face Recognition and Perception #Domain Adaptation and Few-Shot Learning
  20. Human Adults and LLMs as Scientists: Who Benefits from Active Exploration?
    2026/06/04 by Mandana Samiei, Eunice Yiu, Anthony GX-Chen +5 · 2 voices
    #cs.CL #cs.AI
  21. Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
    2025/12/01 by Vinam Arora, Divyansha Lachi, Arora, Vinam +13 · 1 citation
    Neuroscience · Biochemistry, Genetics and Molecular Biology · #Neural dynamics and brain function #Cell Image Analysis Techniques #EEG and Brain-Computer Interfaces