Blake A. Richards

Orcid: 0000-0001-9662-2151

Affiliations:
  • McGill University, Montreal, QC, Canada


According to our database1, Blake A. Richards authored at least 39 papers between 2012 and 2024.

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Bibliography

2024
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution.
CoRR, 2024

Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent.
CoRR, 2024

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.
CoRR, 2024

Synaptic Weight Distributions Depend on the Geometry of Plasticity.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Sufficient conditions for offline reactivation in recurrent neural networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer.
Trans. Mach. Learn. Res., 2023

Addressing Sample Inefficiency in Multi-View Representation Learning.
CoRR, 2023

Learning better with Dale's Law: A Spectral Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Formalizing locality for normative synaptic plasticity models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Unified, Scalable Framework for Neural Population Decoding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

How gradient estimator variance and bias impact learning in neural networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Forgetting Enhances Episodic Control With Structured Memories.
Frontiers Comput. Neurosci., 2022

The Brain-Computer Metaphor Debate Is Useless: A Matter of Semantics.
Frontiers Comput. Sci., 2022

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution.
CoRR, 2022

Contrastive introspection (ConSpec) to rapidly identify invariant steps for success.
CoRR, 2022

On Neural Architecture Inductive Biases for Relational Tasks.
CoRR, 2022

Evaluating Multimodal Interactive Agents.
CoRR, 2022

Investigating Power laws in Deep Representation Learning.
CoRR, 2022

Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Scaling Difference Target Propagation by Learning Backprop Targets.
Proceedings of the International Conference on Machine Learning, 2022

A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
The overfitted brain hypothesis.
Patterns, 2021

Learning function from structure in neuromorphic networks.
Nat. Mach. Intell., 2021

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.
CoRR, 2021

CCN GAC Workshop: Issues with learning in biological recurrent neural networks.
CoRR, 2021

Your head is there to move you around: Goal-driven models of the primate dorsal pathway.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarial Feature Desensitization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PNS-GAN: Conditional Generation of Peripheral Nerve Signals in the Wavelet Domain via Adversarial Networks.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Adversarial Feature Desensitization.
CoRR, 2020

Spike-based causal inference for weight alignment.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Moving beyond reward prediction errors.
Nat. Mach. Intell., 2019

2018
Irrelevance by inhibition: Learning, computation, and implications for schizophrenia.
PLoS Comput. Biol., 2018

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures.
CoRR, 2018

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2012
Relevance Realization and the Emerging Framework in Cognitive Science.
J. Log. Comput., 2012


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