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#recurrent — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #recurrent, aggregated by home.social.

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  1. Further Doubt on Heart-Healthiness of Calcium Supplements

    A retrospective cohort study from Hong Kong evaluated potential adverse cardiovascular effects of calcium supplementation.For individuals with established…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Nutrition #cardiovasculardisease #CVD #Health #recurrent #VitaminD #VitaminDdeficiency
    newsbeep.com/us/578030/

  2. Further Doubt on Heart-Healthiness of Calcium Supplements

    A retrospective cohort study from Hong Kong evaluated potential adverse cardiovascular effects of calcium supplementation.For individuals with established…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Nutrition #cardiovasculardisease #CVD #Health #recurrent #VitaminD #VitaminDdeficiency
    newsbeep.com/us/578030/

  3. Further Doubt on Heart-Healthiness of Calcium Supplements

    A retrospective cohort study from Hong Kong evaluated potential adverse cardiovascular effects of calcium supplementation.For individuals with established…
    #NewsBeep #News #Nutrition #AU #Australia #CardiovascularDisease #CVD #Health #recurrent #vitamind #vitaminDdeficiency
    newsbeep.com/au/599519/

  4. Further Doubt on Heart-Healthiness of Calcium Supplements

    A retrospective cohort study from Hong Kong evaluated potential adverse cardiovascular effects of calcium supplementation.For individuals with established…
    #NewsBeep #News #Nutrition #AU #Australia #CardiovascularDisease #CVD #Health #recurrent #vitamind #vitaminDdeficiency
    newsbeep.com/au/599519/

  5. « C’est un problème récurrent » : avec les intempéries, ce hameau du sud de

    Nous avons besoin de vos cookies pour vous offrir la meilleure expérience de lecture possible et vous proposer…
    #Rennes #FR #France #Actu #News #Europe #EU #actu #Actualités #bretagne #eau #europe #hameau #Ille-et-Vilaine #INTEMPERIES #pieds #problème #récurrent #redon #Républiquefrançaise #sud
    europesays.com/fr/745589/

  6. #Zoomposium with Dr. #Patrick #Krauß: Building instructions for #artificial #consciousness

    Transferring the various stages of Damasio's theory of consciousness 1:1 into concrete #schematics for #deep #learning. To this end, strategies such as #feed-forward connections, #recurrent #connections in the form of #reinforcement learning and #unsupervised learning are used to simulate the #biological #processes of the #neuronal #networks.

    More at: philosophies.de/index.php/2023

    or: youtu.be/rXamzyoggCo

  7. #Zoomposium with Dr. #Patrick #Krauß: Building instructions for #artificial #consciousness

    Transferring the various stages of Damasio's theory of consciousness 1:1 into concrete #schematics for #deep #learning. To this end, strategies such as #feed-forward connections, #recurrent #connections in the form of #reinforcement learning and #unsupervised learning are used to simulate the #biological #processes of the #neuronal #networks.

    More at: philosophies.de/index.php/2023

    or: youtu.be/rXamzyoggCo

  8. #Zoomposium with Dr. #Patrick #Krauß: Building instructions for #artificial #consciousness

    Transferring the various stages of Damasio's theory of consciousness 1:1 into concrete #schematics for #deep #learning. To this end, strategies such as #feed-forward connections, #recurrent #connections in the form of #reinforcement learning and #unsupervised learning are used to simulate the #biological #processes of the #neuronal #networks.

    More at: philosophies.de/index.php/2023

    or: youtu.be/rXamzyoggCo

  9. #Zoomposium mit Dr. #Patrick #Krauß: „Bauanleitung #Künstliches #Bewusstsein

    Die verschiedenen Stufen von Damasios Theorie des Bewusstseins 1:1 in konkrete #Schaltpläne für ein #Deep #Learning zu überführen. Hierzu werden Strategien wie #feed-forward connections, #recurrent #connections in Form von #reinforcement learning und #unsupervised learning angewendet, um die #biologischen #Prozesse der #neuronalen #Netze zu simulieren.

    Mehr auf: philosophies.de/index.php/2023

    oder: youtu.be/rXamzyoggCo

  10. #Zoomposium mit Dr. #Patrick #Krauß: „Bauanleitung #Künstliches #Bewusstsein

    Die verschiedenen Stufen von Damasios Theorie des Bewusstseins 1:1 in konkrete #Schaltpläne für ein #Deep #Learning zu überführen. Hierzu werden Strategien wie #feed-forward connections, #recurrent #connections in Form von #reinforcement learning und #unsupervised learning angewendet, um die #biologischen #Prozesse der #neuronalen #Netze zu simulieren.

    Mehr auf: philosophies.de/index.php/2023

    oder: youtu.be/rXamzyoggCo

  11. #Zoomposium mit Dr. #Patrick #Krauß: „Bauanleitung #Künstliches #Bewusstsein

    Die verschiedenen Stufen von Damasios Theorie des Bewusstseins 1:1 in konkrete #Schaltpläne für ein #Deep #Learning zu überführen. Hierzu werden Strategien wie #feed-forward connections, #recurrent #connections in Form von #reinforcement learning und #unsupervised learning angewendet, um die #biologischen #Prozesse der #neuronalen #Netze zu simulieren.

    Mehr auf: philosophies.de/index.php/2023

    oder: youtu.be/rXamzyoggCo

  12. 'Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents', by Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss.

    jmlr.org/papers/v26/24-0043.ht

    #memory #reinforcement #recurrent

  13. 'Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents', by Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss.

    jmlr.org/papers/v26/24-0043.ht

    #memory #reinforcement #recurrent

  14. 'Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents', by Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss.

    jmlr.org/papers/v26/24-0043.ht

    #memory #reinforcement #recurrent

  15. 'Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents', by Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss.

    jmlr.org/papers/v26/24-0043.ht

    #memory #reinforcement #recurrent

  16. 'Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents', by Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss.

    jmlr.org/papers/v26/24-0043.ht

    #memory #reinforcement #recurrent

  17. 'Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks', by Khurram Javed, Haseeb Shah, Richard S. Sutton, Martha White.

    jmlr.org/papers/v24/23-0367.ht

    #recurrent #atari #gradient

  18. 'Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks', by Khurram Javed, Haseeb Shah, Richard S. Sutton, Martha White.

    jmlr.org/papers/v24/23-0367.ht

    #recurrent #atari #gradient

  19. 'Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks', by Khurram Javed, Haseeb Shah, Richard S. Sutton, Martha White.

    jmlr.org/papers/v24/23-0367.ht

    #recurrent #atari #gradient

  20. 'Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks', by Khurram Javed, Haseeb Shah, Richard S. Sutton, Martha White.

    jmlr.org/papers/v24/23-0367.ht

    #recurrent #atari #gradient

  21. 'Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks', by Khurram Javed, Haseeb Shah, Richard S. Sutton, Martha White.

    jmlr.org/papers/v24/23-0367.ht

    #recurrent #atari #gradient

  22. Agent-State Construction with Auxiliary Inputs

    Ruo Yu Tao, Adam White, Marlos C. Machado

    Action editor: Dinesh Jayaraman.

    openreview.net/forum?id=RLYkyu

    #recurrent #reinforcement #agent

  23. Agent-State Construction with Auxiliary Inputs

    Ruo Yu Tao, Adam White, Marlos C. Machado

    Action editor: Dinesh Jayaraman.

    openreview.net/forum?id=RLYkyu

    #recurrent #reinforcement #agent

  24. Agent-State Construction with Auxiliary Inputs

    Ruo Yu Tao, Adam White, Marlos C. Machado

    Action editor: Dinesh Jayaraman.

    openreview.net/forum?id=RLYkyu

    #recurrent #reinforcement #agent

  25. Agent-State Construction with Auxiliary Inputs

    Ruo Yu Tao, Adam White, Marlos C. Machado

    Action editor: Dinesh Jayaraman.

    openreview.net/forum?id=RLYkyu

    #recurrent #reinforcement #agent

  26. Agent-State Construction with Auxiliary Inputs

    Ruo Yu Tao, Adam White, Marlos C. Machado

    Action editor: Dinesh Jayaraman.

    openreview.net/forum?id=RLYkyu

    #recurrent #reinforcement #agent

  27. Recurrent networks, hidden states and beliefs in partially observable environments

    Gaspard Lambrechts, Adrien Bolland, Damien Ernst

    openreview.net/forum?id=dkHfV3

    #reinforcement #learns #recurrent

  28. Recurrent networks, hidden states and beliefs in partially observable environments

    Gaspard Lambrechts, Adrien Bolland, Damien Ernst

    openreview.net/forum?id=dkHfV3

    #reinforcement #learns #recurrent

  29. Recurrent networks, hidden states and beliefs in partially observable environments

    Gaspard Lambrechts, Adrien Bolland, Damien Ernst

    openreview.net/forum?id=dkHfV3

    #reinforcement #learns #recurrent

  30. Recurrent networks, hidden states and beliefs in partially observable environments

    Gaspard Lambrechts, Adrien Bolland, Damien Ernst

    openreview.net/forum?id=dkHfV3

    #reinforcement #learns #recurrent

  31. Recurrent networks, hidden states and beliefs in partially observable environments

    Gaspard Lambrechts, Adrien Bolland, Damien Ernst

    openreview.net/forum?id=dkHfV3

    #reinforcement #learns #recurrent

  32. Target Propagation via Regularized Inversion for Recurrent Neural Networks

    Vincent Roulet, Zaid Harchaoui

    openreview.net/forum?id=vxyjTU

    #recurrent #gradients #gradient

  33. Target Propagation via Regularized Inversion for Recurrent Neural Networks

    Vincent Roulet, Zaid Harchaoui

    openreview.net/forum?id=vxyjTU

    #recurrent #gradients #gradient

  34. Target Propagation via Regularized Inversion for Recurrent Neural Networks

    Vincent Roulet, Zaid Harchaoui

    openreview.net/forum?id=vxyjTU

    #recurrent #gradients #gradient

  35. Target Propagation via Regularized Inversion for Recurrent Neural Networks

    Vincent Roulet, Zaid Harchaoui

    openreview.net/forum?id=vxyjTU

    #recurrent #gradients #gradient

  36. Target Propagation via Regularized Inversion for Recurrent Neural Networks

    Vincent Roulet, Zaid Harchaoui

    openreview.net/forum?id=vxyjTU

    #recurrent #gradients #gradient

  37. @charanranganath @NicoleCRust @cogneurophys @PessoaBrain

    Indeed! It's also worth noting that more recent evidence suggests that the hippocampus does not work like a Hopfield network (e.g. behavioural timescale #plasticity in CA1 science.org/doi/full/10.1126/s, and existing motifs in CA3 onlinelibrary.wiley.com/doi/ab).

    Still lots to uncover, but the idea that the #hippocampus is just a #Hebbian #autoassociative #recurrent network is surely false.

  38. @charanranganath @NicoleCRust @cogneurophys @PessoaBrain

    Indeed! It's also worth noting that more recent evidence suggests that the hippocampus does not work like a Hopfield network (e.g. behavioural timescale #plasticity in CA1 science.org/doi/full/10.1126/s, and existing motifs in CA3 onlinelibrary.wiley.com/doi/ab).

    Still lots to uncover, but the idea that the #hippocampus is just a #Hebbian #autoassociative #recurrent network is surely false.

  39. @charanranganath @NicoleCRust @cogneurophys @PessoaBrain

    Indeed! It's also worth noting that more recent evidence suggests that the hippocampus does not work like a Hopfield network (e.g. behavioural timescale #plasticity in CA1 science.org/doi/full/10.1126/s, and existing motifs in CA3 onlinelibrary.wiley.com/doi/ab).

    Still lots to uncover, but the idea that the #hippocampus is just a #Hebbian #autoassociative #recurrent network is surely false.