Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs

Autor: Han, Chao, Basu, Debabrota, Mangan, Michael, Vasilaki, Eleni, Gilra, Aditya

Learning representations of underlying environmental dynamics from partial observations is a critical challenge in machine learning. In the context of Partially Observable Markov Decision Processes (POMDPs), state representations are often inferred f

Externí odkaz: http://arxiv.org/abs/2411.07832

NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems

Autor: Yik, Jason, Berghe, Korneel Van den, Blanken, Douwe den, Bouhadjar, Younes, Fabre, Maxime, Hueber, Paul, Ke, Weijie, Khoei, Mina A, Kleyko, Denis, Pacik-Nelson, Noah, Pierro, Alessandro, Stratmann, Philipp, Sun, Pao-Sheng Vincent, Tang, Guangzhi, Wang, Shenqi, Zhou, Biyan, Ahmed, Soikat Hasan, Joseph, George Vathakkattil, Leto, Benedetto, Micheli, Aurora, Mishra, Anurag Kumar, Lenz, Gregor, Sun, Tao, Ahmed, Zergham, Akl, Mahmoud, Anderson, Brian, Andreou, Andreas G., Bartolozzi, Chiara, Basu, Arindam, Bogdan, Petrut, Bohte, Sander, Buckley, Sonia, Cauwenberghs, Gert, Chicca, Elisabetta, Corradi, Federico, de Croon, Guido, Danielescu, Andreea, Daram, Anurag, Davies, Mike, Demirag, Yigit, Eshraghian, Jason, Fischer, Tobias, Forest, Jeremy, Fra, Vittorio, Furber, Steve, Furlong, P. Michael, Gilpin, William, Gilra, Aditya, Gonzalez, Hector A., Indiveri, Giacomo, Joshi, Siddharth, Karia, Vedant, Khacef, Lyes, Knight, James C., Kriener, Laura, Kubendran, Rajkumar, Kudithipudi, Dhireesha, Liu, Yao-Hong, Liu, Shih-Chii, Ma, Haoyuan, Manohar, Rajit, Margarit-Taulé, Josep Maria, Mayr, Christian, Michmizos, Konstantinos, Muir, Dylan, Neftci, Emre, Nowotny, Thomas, Ottati, Fabrizio, Ozcelikkale, Ayca, Panda, Priyadarshini, Park, Jongkil, Payvand, Melika, Pehle, Christian, Petrovici, Mihai A., Posch, Christoph, Renner, Alpha, Sandamirskaya, Yulia, Schaefer, Clemens JS, van Schaik, André, Schemmel, Johannes, Schmidgall, Samuel, Schuman, Catherine, Seo, Jae-sun, Sheik, Sadique, Shrestha, Sumit Bam, Sifalakis, Manolis, Sironi, Amos, Stewart, Matthew, Stewart, Kenneth, Stewart, Terrence C., Timcheck, Jonathan, Tömen, Nergis, Urgese, Gianvito, Verhelst, Marian, Vineyard, Craig M., Vogginger, Bernhard, Yousefzadeh, Amirreza, Zohora, Fatima Tuz, Frenkel, Charlotte, Reddi, Vijay Janapa

Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research field currently lacks standardized benchmarks, making it difficult to accu

Externí odkaz: http://arxiv.org/abs/2304.04640

Is Deep margin elevation a reliable tool for cervical margin relocation? – A comparative review

Autor: T.D. Geo, Saurabh Gupta, Shilpi Gilra Gupta, Kuldeep singh Rana

Publikováno v: Journal of Oral Biology and Craniofacial Research, Vol 14, Iss 1, Pp 33-38 (2024)

The permanence of deep subgingival restorations are questionable both functionally and biologically. Crown lengthening is one of the traditionally performing procedures to visualize and relocate the deep margins, but the limitations of the invasive s

Externí odkaz: https://doaj.org/article/7055d81fa678419a8064e0ad5a8bc887

Dynamical learning of dynamics

Autor: Klos, Christian, Kossio, Yaroslav Felipe Kalle, Goedeke, Sven, Gilra, Aditya, Memmesheimer, Raoul-Martin

Publikováno v: Phys. Rev. Lett. 125, 088103 (2020)

The ability of humans and animals to quickly adapt to novel tasks is difficult to reconcile with the standard paradigm of learning by slow synaptic weight modification. Here we show that fixed-weight neural networks can learn to generate required dyn

Externí odkaz: http://arxiv.org/abs/1902.02875

Modelling novelty detection in the thalamocortical loop.

Autor: Chao Han, Gwendolyn English, Hannes P Saal, Giacomo Indiveri, Aditya Gilra, Wolfger von der Behrens, Eleni Vasilaki

Publikováno v: PLoS Computational Biology, Vol 19, Iss 5, p e1009616 (2023)

In complex natural environments, sensory systems are constantly exposed to a large stream of inputs. Novel or rare stimuli, which are often associated with behaviorally important events, are typically processed differently than the steady sensory bac

Externí odkaz: https://doaj.org/article/eab48f64f03e4cf9b60ed5628afb172e