Technology
World's rules-based order 'no longer exists', Germany's Merz warns
The rules-based world order no longer exists, the German Chancellor has warned at a major security summit. Opening the annual Munich Security Conference, Friedrich Merz told other world leaders that our freedom is not guaranteed in an era of big power politics, and that Europeans must be ready to make sacrifice. He also admitted that a deep divide has opened between Europe and the United States. The conference is taking place on the backdrop of US President Donald Trump threatening Denmark's sovereignty over Greenland by pledging to annex the Arctic territory and his tariffs on imports from European nations. US Secretary of State Marco Rubio, who was listening to Merz and will deliver his own speech on Saturday, earlier spoke of a new era in geopolitics.
ControlWhatYouCan Intrinsically Motivated Task-PlanningAgent
Children are remarkably fast in learning new skills; How do they do this?
tion error; right: surprise. α is a hyperparameter we scanned for. Implement a new IM baseline: ICM (Pathak 2017 [23]
We thank the reviewers for the thorough feedbacks. Based on those, we have made numerous improvements. Original code is for decrete actions.) IM baseline with the random object. The plot is similar to "tool" in Figure 1 and we omit it due to space constraints. Rev. #1 suggested that the environments could be solved by classic planning methods.
Uncovering motifs of concurrent signaling across multiple neuronal populations -- Supplementary Information -- Evren Gokcen
This factorization enables closed-form updates during optimization (see below).
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Uncovering motifs of concurrent signaling across multiple neuronal populations
Modern recording techniques now allow us to record from distinct neuronal populations in different brain networks.
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann, Michael Zollhoefer, Gordon Wetzstein
We propose Scene Representation Networks (SRNs), a continuous, 3D-structure-aware scene representation that encodes both geometry and appearance. SRNs represent scenes as continuous functions that map world coordinates to a feature representation of local scene properties.
Implicit Reparameterization Gradients
Mikhail Figurnov, Shakir Mohamed, Andriy Mnih
Neural Information Processing Systems http://nips.cc/
56ad264ac7448239145606cf4106042f-Paper-Conference.pdf
Toexploitthephenomenon and yet dismiss non-anomalous descent, SARAD performs anomaly detection via autoencoding in the association space.
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization
Yuanxiang Gao, Li Chen, Baochun Li
Neural Information Processing Systems http://nips.cc/