vix.ing · top · new · best · stats · spec

Richards, Blake A.

  1. Assessing the Scalability of Biologically-Motivated Deep Learning\n Algorithms and Architectures
    2018/07/12 by Sergey Bartunov, Bartunov, Sergey, Adam Santoro +9 · 29 citations
    Engineering · Computer Science · #Advanced Memory and Neural Computing #Neural Networks and Reservoir Computing #Ferroelectric and Negative Capacitance Devices
  2. 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
  3. 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
  4. Learning Successor Features the Simple Way
    2024/10/29 by Raymond Chua, Arna Ghosh, Chua, Raymond +7 · 1 voice · 5 citations
    Computer Science · #AI in Service Interactions #cs.LG
  5. Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?
    2025/05/14 by Anthony GX-Chen, GX-Chen, Anthony, Dongyan Lin +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
  6. Spike-based causal inference for weight alignment
    2019/10/03 by Jordan Guerguiev, Konrad P. Körding, Guerguiev, Jordan +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)
  7. Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece
    2021/05/12 by Prince, Luke Y., Eyono, Roy Henha, Boven, Ellen +9 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Neurons and Cognition (q-bio.NC)
  8. 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
  9. Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
    2022/06/02 by Liu, Yuhan Helena, Ghosh, Arna, Richards, Blake A. +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)