• Tianlin Xu, Li K. Wenliang, Michael Munn, Beatrice Acciaio COT-GAN: Generating Sequential Data via Causal Optimal Transport, NeurIPS [pre-print] [code] [contributions]

  • Li K. Wenliang, Theodore Moskovitz, Heishiro Kanagawa, Maneesh Sahani Amortised learning by wake-sleep, ICML [paper] [slides] [code]


  • Li K. Wenliang, Maneesh Sahani Neural recognition and postdiction by temporal distributed distributional code, Bernstein Conference 2019, Berlin, Germany [abstract] [poster]

  • Li K. Wenliang, Maneesh Sahani A neurally plausible model for online recognition and postdiction, NeurIPS [paper] [slides (tri-center)] [poster] [pre-print]

  • Li K. Wenliang, Eszter Vertes, Maneesh Sahani Accurate and adaptive neural recognition in dynamical environment COSYNE Abstracts, Lisbon, Portugal [poster] [abstract]

  • Li K. Wenliang*, Dougal Sutherland*, Heiko Strathmann, Arthur Gretton, Learning deep kernels for exponential family densities, ICML, Long Beach, CA, USA [link] [code]


  • Li K. Wenliang and Aaron R. Seitz, Deep neural network for modeling visual perceptual learning, Journal of Neuroscience.
    [link] [pre-print] [code]

  • Li Wenliang and Maneesh Sahani, Neural network trained with supervision represents uncertainty by nonlinear moments, COSYNE Abstracts, Denver, CO, USA.
    [poster] [abstract]


  • Chunfang Liu, Wenliang Li, Fuchun Sun and Jianwei Zhang, Grasp planning by human experience on a variety of objects with complex geometry Intelligent Robots and Systems (IROS), Hamburg doi: 10.1109/IROS.2015.7353420