Ali

@ImanisMind

Alexander (Ali) Imani Cowen-Rivers. ML Researcher and . Former , , . RL/ NLP focus.

London
Vrijeme pridruživanja: veljača 2016.
6 fotografija ili videozapisa Fotografije i videozapisi

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  1. Prikvačeni tweet
    12. lip 2019.

    Stoked that my paper with and has been accepted at the 14th International Workshop on Neural-Symbolic Learning and Reasoning at ! In which we make the first steps towards estimating epistemic uncertainty in KG's.

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  2. proslijedio/la je Tweet
    3. velj

    Deep learning was inspired by the architecture of the cerebral cortex and insights ... general intelligence may be found in other brain regions that are essential for planning and survival, but major breakthroughs will be needed to achieve these goals.

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  3. 3. velj

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  4. 3. velj

    Interested in a robotics internship in Tokyo? Apply for the global internship program at , a leading Japanese robotics company. One of the best experiences of my life and they are extremely helpful with all relocation arrangements. (Link below)

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  5. proslijedio/la je Tweet
    30. sij

    We're standardizing OpenAI's deep learning framework on PyTorch to increase our research productivity at scale on GPUs (and have just released a PyTorch version of Spinning Up in Deep RL):

    25 replies 549 proslijeđenih tweetova 1.920 korisnika označava da im se sviđa
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  6. proslijedio/la je Tweet
    29. sij

    I've always been fascinated by Bayesian Nonparametrics. I struggled to grasp those ideas directly from papers. Today, by chance, I found the best (imo) single reference for anyone interested: A gentle introduction by and Michael Jordan

    45 proslijeđenih tweetova 218 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    28. sij

    Check out our new preprint with and sim yu on gradient landscape regularisation in CNNs!

    4 proslijeđena tweeta 5 korisnika označava da im se sviđa
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  8. proslijedio/la je Tweet
    16. sij

    Have openings in Reinforcement Learning and Multi-Agent Systems. If interested, please send your CV to ukrdjobs@huawei.com. For any questions, please feel free to contact us on ukrdjobs@huawei.com.

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  9. 17. sij

    Join our London RL research team! Key research areas include; safe and robust RL, deep RL, multi-agent RL and model-based RL. Headed by ⁦⁩ and ⁦⁩ !

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  10. proslijedio/la je Tweet
    14. sij

    I often meet research scientists interested in open-sourcing their code/research and asking for advice. Here is a thread for you. First: why should you open-source models along with your paper? Because science is a virtuous circle of knowledge sharing not a zero-sum competition

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  11. proslijedio/la je Tweet
    13. sij

    Hey everyone, Under requests, we started a series on optimisation where we describe ADAM and its proof. Here's the first part of the series: Thanks for the help in letting us know what you want to hear about and for all the awesome advice.

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  12. proslijedio/la je Tweet
    15. sij

    It seems we are not the only sceptics of alpha-Rank -- a ranking procedure for multi-agent systems that has been accepted at Nature's scientific reports. I am pleased to announce that our paper has been accepted for publication at AAMAS (23% rate)

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  13. proslijedio/la je Tweet
    10. sij

    Very happy to share our latest work accepted at : we prove that a Self-Attention layer can express any CNN layer. 1/5 📄Paper: 🍿Interactive website : 🖥Code: 📝Blog:

    5 replies 348 proslijeđenih tweetova 1.152 korisnika označavaju da im se sviđa
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  14. proslijedio/la je Tweet
    7. sij

    I am pleased to announce that our AISTATS paper on order robust optimisation has been accepted. Check it out

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  15. proslijedio/la je Tweet
    5. sij

    We got tons of question on what math is needed for machine learning. Let us know what you think.

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  16. proslijedio/la je Tweet
    1. sij

    Happy new year everybody! Why don't we kick-off this year with a new video from the ML and AI Academy? In the link below we detail machine learning in less than 3 min. I am sure this is among the shortest and most concise intros you'd get:

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  17. 2. sij

    Follow ’s new YouTube series “Machine Learning and AI Academy: DeepRL” —- he will detail background theory for Deep RL, with the end goal of teaching you to implement SOTA model free/ model based algorithms TRPO/ PILCO

    2 proslijeđena tweeta 14 korisnika označava da im se sviđa
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  18. proslijedio/la je Tweet
    27. stu 2019.

    We've updated our paper on Continual Learning with Gaussian Processes with some new ideas on task-boundary detection and additional ablation studies around inducing point optimisation:

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  19. 14. pro 2019.

    Looking forward to reading these, thanks!

    Uploaded my slides from this morning's talk at Robot Learning workshop
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  20. 14. pro 2019.

    Check out my talk at

    For all of us watching remotely:
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  21. proslijedio/la je Tweet
    14. pro 2019.

    For all of us watching remotely:

    It’s happening tomorrow! We have an exciting speaker lineup and panel discussion at the Emergent Communication workshop including . If you’re at , come to the West building 118-120 tomorrow!
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