Top Tweets for #deeperlearningblog
Check out the #DeeperLearningBlog that summarizes key findings of our recent preprint on sign switching synapses!
(with my speculations on its connections with AI ๐ค)
New in the #DeeperLearningBlog: @shunnnli describes the discovery of a type of synapse that switches between more excitatory and more inhibitory in an experience-dependent manner.
https://t.co/40JFmW4WrX
#neuroscience #dopamine #RL @blsabatini
New in the #DeeperLearningBlog: @shunnnli describes the discovery of a type of synapse that switches between more excitatory and more inhibitory in an experience-dependent manner.
https://t.co/40JFmW4WrX
#neuroscience #dopamine #RL @blsabatini
New in the #DeeperLearningBlog: @GaoZhaolin and collaborators including the #KempnerInstitute's Kiantรฉ Brantley presents a powerful new #RL algorithm tailored for reasoning tasks with #LLMs that updates using only one generation per prompt.
https://t.co/ETqQxA5sYT
@xkianteb #AI
New in the #DeeperLearningBlog: the #KempnerInstitute's @maryiletey presents work recently published in PNAS that offers generalizable insights into in-context learning (ICL) in an analytically-solvable model architecture.
https://t.co/yjVLDPOXiD
#AI @PNASNews
(1/2)
New in the #DeeperLearningBlog: #KempnerInstitute research fellow @t_andy_keller introduces the first flow equivariant neural networks, which reflect motion symmetries, greatly enhancing generalization and sequence modeling.
https://t.co/B1YVESrRcR
#AI #NeuroAI
New in the #DeeperLearningBlog: #KempnerInstitute researchers @WangBinxu and @johnjvastola explain their work uncovering the linear Gaussian structure in diffusion models and the potential to use it to enhance performance.
https://t.co/U0ZTcbxIas
#AI #DiffusionModels
New in the #DeeperLearningBlog: Researchers from the #KempnerInstitute, @Cornell and @CMU_Robotics introduce a new method for improving offline RL by scaling-up test-time compute.
https://t.co/G3Bf4oq6IP
#AI #RL
(1/2)
New in the #DeeperLearningBlog: Kempner researchers Nikhil Anand (@nikhil_anand91) and Chloe Su (@Huangyu58589918) discuss new work on how numerical precision can impact the accuracy and stability of #LLMs.
https://t.co/SS3CDlUKYf
#AI
(1/2)
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