46 results on '"Blake A. Richards"'
Search Results
2. Synaptic Weight Distributions Depend on the Geometry of Plasticity.
3. Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent.
4. Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution.
5. Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.
6. Towards Scaling Difference Target Propagation by Learning Backprop Targets.
7. A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions.
8. How gradient estimator variance and bias impact learning in neural networks.
9. Learning better with Dale's Law: A Spectral Perspective.
10. Formalizing locality for normative synaptic plasticity models.
11. Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL.
12. A Unified, Scalable Framework for Neural Population Decoding.
13. Addressing Sample Inefficiency in Multi-View Representation Learning.
14. A Unified, Scalable Framework for Neural Population Decoding.
15. Synaptic Weight Distributions Depend on the Geometry of Plasticity.
16. Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer.
17. Adversarial Feature Desensitization.
18. The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning.
19. Your head is there to move you around: Goal-driven models of the primate dorsal pathway.
20. PNS-GAN: Conditional Generation of Peripheral Nerve Signals in the Wavelet Domain via Adversarial Networks.
21. Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules.
22. $\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay.
23. Learning function from structure in neuromorphic networks.
24. Towards Scaling Difference Target Propagation by Learning Backprop Targets.
25. On Neural Architecture Inductive Biases for Relational Tasks.
26. Evaluating Multimodal Interactive Agents.
27. Contrastive introspection (ConSpec) to rapidly identify invariant steps for success.
28. Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer.
29. Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution.
30. Investigating Power laws in Deep Representation Learning.
31. Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules.
32. A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions.
33. Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units.
34. Spike-based causal inference for weight alignment.
35. Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures.
36. From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.
37. CCN GAC Workshop: Issues with learning in biological recurrent neural networks.
38. Adversarial Feature Desensitization.
39. The Brain-Computer Metaphor Debate Is Useless: A Matter of Semantics.
40. Forgetting Enhances Episodic Control With Structured Memories.
41. Spike-based causal inference for weight alignment.
42. The overfitted brain hypothesis.
43. Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures.
44. Irrelevance by inhibition: Learning, computation, and implications for schizophrenia.
45. Moving beyond reward prediction errors.
46. Relevance Realization and the Emerging Framework in Cognitive Science.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.