https://blog.shakirm.com/https://blog.shakirm.com/about-me/2015-09-13T16:00:13Zhttps://blog.shakirm.com/2013/03/hello-world-2/2015-03-15T16:34:15Zhttps://blog.shakirm.com/2013/03/marginal-likelihood-wbic/2017-03-03T01:53:42Zhttps://blog.shakirm.com/2013/04/marrs-levels-of-analysis/2013-04-29T20:46:54Zhttps://blog.shakirm.com/2013/08/bayesian-sparsity-using-spike-and-slab-priors/2013-08-11T20:55:25Zhttps://blog.shakirm.com/2015/01/variational-inference-tricks-of-the-trade/2015-02-16T14:19:09Zhttps://blog.shakirm.com/2015/01/a-statistical-view-of-deep-learning-i-recursive-glms/2015-03-13T12:05:19Zhttps://blog.shakirm.com/2015/03/a-statistical-view-of-deep-learning-ii-auto-encoders-and-free-energy/2015-03-15T20:40:44Zhttps://blog.shakirm.com/2015/04/a-statistical-view-of-deep-learning-iii-memory-and-kernels/2015-11-25T00:55:13Zhttps://blog.shakirm.com/2015/05/a-statistical-view-of-deep-learning-iv-recurrent-nets-and-dynamical-systems/2018-10-17T15:05:12Zhttps://blog.shakirm.com/2015/05/a-statistical-view-of-deep-learning-v-generalisation-and-regularisation/2015-05-10T17:33:44Zhttps://blog.shakirm.com/2015/05/chinese-edition-a-statistical-view-of-deep-learning-i-%e4%bb%8e%e7%bb%9f%e8%ae%a1%e5%ad%a6%e8%a7%92%e5%ba%a6%e6%9d%a5%e7%9c%8b%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0/2015-05-23T10:47:03Zhttps://blog.shakirm.com/2015/06/a-statistical-view-of-deep-learning-vi-what-is-deep/2015-07-22T10:26:35Zhttps://blog.shakirm.com/2015/05/chinese-edition-a-statistical-view-of-deep-learning-ii-%e4%bb%8e%e7%bb%9f%e8%ae%a1%e5%ad%a6%e8%a7%92%e5%ba%a6%e6%9d%a5%e7%9c%8b%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0/2015-05-25T09:34:46Zhttps://blog.shakirm.com/2015/06/chinese-edition-a-statistical-view-of-deep-learning-iii-%e4%bb%8e%e7%bb%9f%e8%ae%a1%e5%ad%a6%e8%a7%92%e5%ba%a6%e6%9d%a5%e7%9c%8b%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0/2015-06-27T16:24:35Zhttps://blog.shakirm.com/2015/07/a-statistical-view-of-deep-learning-retrospective/2015-07-24T16:36:54Zhttps://blog.shakirm.com/2016/02/learning-in-brains-and-machines-1/2017-08-20T02:16:43Zhttps://blog.shakirm.com/2015/07/machine-learning-trick-of-the-day-1-replica-trick/2016-10-31T17:34:59Zhttps://blog.shakirm.com/ml-series/trick-of-the-day/2020-01-02T04:02:03Zhttps://blog.shakirm.com/2015/08/machine-learning-trick-of-the-day-2-gaussian-integral-trick/2015-09-03T22:46:54Zhttps://blog.shakirm.com/ml-series/2016-03-20T16:54:44Zhttps://blog.shakirm.com/ml-series/a-statistical-view-of-deep-learning/2017-07-10T06:54:18Zhttps://blog.shakirm.com/2015/09/machine-learning-trick-of-the-day-3-hutchinsons-trick/2017-04-10T18:29:44Zhttps://blog.shakirm.com/2015/10/machine-learning-trick-of-the-day-4-reparameterisation-tricks/2024-06-07T00:54:29Zhttps://blog.shakirm.com/2015/10/bayesian-reasoning-and-deep-learning/2015-10-11T03:43:48Zhttps://blog.shakirm.com/2015/11/machine-learning-trick-of-the-day-5-log-derivative-trick/2024-06-07T00:42:15Zhttps://blog.shakirm.com/2015/11/talk-memory-based-bayesian-reasoning-and-deep-learning/2015-11-21T16:04:18Zhttps://blog.shakirm.com/2015/12/machine-learning-trick-of-the-day-6-tricks-with-sticks/2016-07-06T15:59:26Zhttps://blog.shakirm.com/2015/12/a-year-of-approximate-inference/2016-01-06T22:00:58Zhttps://blog.shakirm.com/ml-series/learning-in-brain-and-machines/2016-12-18T20:21:43Zhttps://blog.shakirm.com/2016/04/learning-in-brains-and-machines-2/2016-04-08T08:04:47Zhttps://blog.shakirm.com/2016/07/learning-in-brains-and-machines-3-synergistic-and-modular-action/2016-10-22T20:53:23Zhttps://blog.shakirm.com/2016/07/learning-in-brains-and-machines-4-episodic-and-interactive-memory/2016-07-24T15:17:07Zhttps://blog.shakirm.com/2016/07/talk-building-machines-that-imagine-and-reason/2016-08-07T18:46:20Zhttps://blog.shakirm.com/2016/10/cognitive-machine-learning-prologue/2016-10-08T11:08:28Zhttps://blog.shakirm.com/sunday-classic-paper/2017-03-27T22:23:33Zhttps://blog.shakirm.com/2017/02/cognitive-machine-learning-1-learning-to-explain/2017-03-27T22:25:22Zhttps://blog.shakirm.com/ml-series/cognitive-machine-learning/2018-01-20T22:56:00Zhttps://blog.shakirm.com/2017/03/cognitive-machine-learning-2-uncertain-thoughts/2017-08-13T20:07:52Zhttps://blog.shakirm.com/2018/01/machine-learning-trick-of-the-day-7-density-ratio-trick/2020-10-24T16:58:06Zhttps://blog.shakirm.com/2018/10/machine-learning-trick-of-the-day-8-instrumental-thinking/2018-10-16T11:34:30Zhttps://blog.shakirm.com/2018/09/the-price-of-transformation/2018-10-06T16:33:57Zhttps://blog.shakirm.com/2018/10/decolonising-artificial-intelligence/2020-07-15T09:46:53Zhttps://blog.shakirm.com/2018/11/contribution-how-do-we-support-under-represented-groups-to-put-themselves-forward/2018-11-20T23:34:53Zhttps://blog.shakirm.com/2019/06/racialised-lives-and-the-life-beyond/2019-06-13T18:06:35Zhttps://blog.shakirm.com/2019/06/a-new-consciousness-of-inclusion-in-machine-learning/2019-06-16T18:32:16Zhttps://blog.shakirm.com/2019/11/machinery-of-grace/2019-11-19T12:47:16Zhttps://blog.shakirm.com/2020/02/queer-exceptionalism-in-science/2020-02-27T16:59:31Zhttps://blog.shakirm.com/2020/08/queering-machine-learning/2020-08-06T12:32:45Zhttps://blog.shakirm.com/2020/10/imaginations-of-good-missions-for-change/2020-10-29T15:23:29Zhttps://blog.shakirm.com/2020/12/through-the-eyes-of-birds-and-frogs-writing-and-surveys-in-machine-learning-research/2021-01-11T15:28:38Zhttps://blog.shakirm.com/2020/12/pain-and-machine-learning/2022-08-04T18:35:17Zhttps://blog.shakirm.com/2021/02/inventing-ourselves-responsibility-and-diversity-in-research/2022-11-09T16:25:34Zhttps://blog.shakirm.com/2021/06/generating-reality-technical-and-social-explorations-in-generative-machine-learning-research/2021-06-17T16:21:44Zhttps://blog.shakirm.com/2021/07/harnessing-machine-learning-to-achieve-net-zero/2021-07-26T16:50:22Zhttps://blog.shakirm.com/2023/04/generative-models-for-climate-informatics/2023-04-19T21:00:13Zhttps://blog.shakirm.com/2023/04/elevating-our-evaluations-technical-and-sociotechnical-standards-of-assessment-in-machine-learning/2023-04-28T07:35:49Zhttps://blog.shakirm.com/2023/08/machine-learning-with-social-purpose/2023-10-26T02:49:23Zhttps://blog.shakirm.com/2023/10/responsibilities-of-the-pioneer-generative-ai-and-its-sociotechnical-foundations/2023-12-14T10:27:23Zhttps://blog.shakirm.com/2023/12/generative-science-roles-for-generative-ai-in-scientific-discovery/2023-12-14T10:23:18Zhttps://blog.shakirm.com/2024/06/visions-of-ai-building-our-sociotechnical-future/2024-06-24T09:00:43Z