{
  "id": 17003,
  "title": "NIPS workshop on Applying (machine) Learning to Experimental Physics",
  "url": "/competitions/flavours-of-physics/discussion/17003",
  "author_name": "",
  "post_date": "2015-10-14T20:53:58.040Z",
  "votes": 2,
  "comment_count": 2,
  "views": 1023,
  "content": "<p>Dear challenge participants, </p>\n\n<p>we are organizing a <a href=\"http://yandexdataschool.github.io/aleph2015/\">workshop</a> at <a href=\"https://nips.cc/Register/\">NIPS</a>, the leading conference in the area of machine learning. This workshop will officially conclude the challenge, summarize its results and lessons learned and outline the directions for the future competitions. It will be held on 11th of December <a href=\"https://www.google.com/maps/place/Montreal+Convention+Centre/@45.505151,-73.559786,15z/data=!4m2!3m1!1s0x0:0x17d4bd31b9103f97\">at Montreal</a>. </p>\n\n<p>Our ultimate goal is to bring the Physics and ML communities together to initiate discussions on Physics-motivated problems and applications in ML. It is not unknown that the ML community is still largely untouched by the numerous learning challenges coming from Physics. We hope that as a result of this workshop (as well as a result of the Flavours of Physics challenge organized before the workshop and the new dataset that we shared in its scope that are to be discussed at the workshop), these problems will attract more attention from ML researchers.</p>\n\n<p>We encourage you to participate in the workshop and report about your experiences in this challenge, your solutions and recommendations for the future competitions. In order to participate as a speaker or with a poster, consider <a href=\"https://easychair.org/conferences/?conf=aleph2015\">submitting</a> your proposal. </p>\n\n<p>More details on the ALEPH workshop can be found at workshop pages:\n<a href=\"http://yandexdataschool.github.io/aleph2015/\">http://yandexdataschool.github.io/aleph2015/</a></p>\n\n<p>NB: application for the workshop participation and application for the Physics Prize are evaluated separately, so if you looking for both the Prize and the participation at the workshop, please apply twice. </p>",
  "messages": [
    {
      "id": "96154",
      "postDate": "10/14/2015 20:53:58",
      "content": "<p>Dear challenge participants, </p>\n\n<p>we are organizing a <a href=\"http://yandexdataschool.github.io/aleph2015/\">workshop</a> at <a href=\"https://nips.cc/Register/\">NIPS</a>, the leading conference in the area of machine learning. This workshop will officially conclude the challenge, summarize its results and lessons learned and outline the directions for the future competitions. It will be held on 11th of December <a href=\"https://www.google.com/maps/place/Montreal+Convention+Centre/@45.505151,-73.559786,15z/data=!4m2!3m1!1s0x0:0x17d4bd31b9103f97\">at Montreal</a>. </p>\n\n<p>Our ultimate goal is to bring the Physics and ML communities together to initiate discussions on Physics-motivated problems and applications in ML. It is not unknown that the ML community is still largely untouched by the numerous learning challenges coming from Physics. We hope that as a result of this workshop (as well as a result of the Flavours of Physics challenge organized before the workshop and the new dataset that we shared in its scope that are to be discussed at the workshop), these problems will attract more attention from ML researchers.</p>\n\n<p>We encourage you to participate in the workshop and report about your experiences in this challenge, your solutions and recommendations for the future competitions. In order to participate as a speaker or with a poster, consider <a href=\"https://easychair.org/conferences/?conf=aleph2015\">submitting</a> your proposal. </p>\n\n<p>More details on the ALEPH workshop can be found at workshop pages:\n<a href=\"http://yandexdataschool.github.io/aleph2015/\">http://yandexdataschool.github.io/aleph2015/</a></p>\n\n<p>NB: application for the workshop participation and application for the Physics Prize are evaluated separately, so if you looking for both the Prize and the participation at the workshop, please apply twice. </p>",
      "rawMarkdown": "Dear challenge participants, \r\n\r\nwe are organizing a [workshop][1] at [NIPS][2], the leading conference in the area of machine learning. This workshop will officially conclude the challenge, summarize its results and lessons learned and outline the directions for the future competitions. It will be held on 11th of December [at Montreal][3]. \r\n\r\nOur ultimate goal is to bring the Physics and ML communities together to initiate discussions on Physics-motivated problems and applications in ML. It is not unknown that the ML community is still largely untouched by the numerous learning challenges coming from Physics. We hope that as a result of this workshop (as well as a result of the Flavours of Physics challenge organized before the workshop and the new dataset that we shared in its scope that are to be discussed at the workshop), these problems will attract more attention from ML researchers.\r\n\r\nWe encourage you to participate in the workshop and report about your experiences in this challenge, your solutions and recommendations for the future competitions. In order to participate as a speaker or with a poster, consider [submitting][4] your proposal. \r\n\r\nMore details on the ALEPH workshop can be found at workshop pages:\r\nhttp://yandexdataschool.github.io/aleph2015/\r\n\r\n\r\n\r\nNB: application for the workshop participation and application for the Physics Prize are evaluated separately, so if you looking for both the Prize and the participation at the workshop, please apply twice. \r\n\r\n\r\n  [1]: http://yandexdataschool.github.io/aleph2015/\r\n  [2]: https://nips.cc/Register/\r\n  [3]: https://www.google.com/maps/place/Montreal+Convention+Centre/@45.505151,-73.559786,15z/data=!4m2!3m1!1s0x0:0x17d4bd31b9103f97\r\n  [4]: https://easychair.org/conferences/?conf=aleph2015",
      "votes": null
    },
    {
      "id": "97284",
      "postDate": "10/25/2015 04:22:08",
      "content": "<p>Hi,</p>\n\n<p>Since the deadline for the application is drawing closer, could you provide us with more information on dates for submission? What time on Monday (and time zone) do the papers need to be submitted by? Should the code be submitted via the 'Upload your model' on Kaggle and the pdf proposal on Easy Chair? And this is separate from the HEP meets ML award, which is submitted via email, am I correct? Thanks.</p>",
      "rawMarkdown": "Hi,\r\n\r\nSince the deadline for the application is drawing closer, could you provide us with more information on dates for submission? What time on Monday (and time zone) do the papers need to be submitted by? Should the code be submitted via the 'Upload your model' on Kaggle and the pdf proposal on Easy Chair? And this is separate from the HEP meets ML award, which is submitted via email, am I correct? Thanks.",
      "votes": null
    },
    {
      "id": "97359",
      "postDate": "10/26/2015 12:38:32",
      "content": "<ul>\n<li>What time on Monday (and time zone) do the papers need to be submitted by?</li>\n</ul>\n\n<p>It's the latest 23-59 on Monday on Earth :) \n<a href=\"https://en.wikipedia.org/wiki/Anywhere_on_Earth\">https://en.wikipedia.org/wiki/Anywhere_on_Earth</a></p>\n\n<p>Should the code be submitted via the 'Upload your model' on Kaggle and the pdf proposal on Easy Chair? </p>\n\n<p>If you just want to speak at the workshop and you are not applying for the Physics prize, you do not need to upload your model. We just need your PDF at Easychair.</p>\n\n<p>And this is separate from the HEP meets ML award, which is submitted via email, am I correct? Thanks.</p>\n\n<p>Yes. And for this we need your model as well, yes.</p>",
      "rawMarkdown": "What time on Monday (and time zone) do the papers need to be submitted by?\r\n\r\nIt's the latest 23-59 on Monday on Earth :) \r\nhttps://en.wikipedia.org/wiki/Anywhere_on_Earth\r\n\r\nShould the code be submitted via the 'Upload your model' on Kaggle and the pdf proposal on Easy Chair? \r\n\r\nIf you just want to speak at the workshop and you are not applying for the Physics prize, you do not need to upload your model. We just need your PDF at Easychair.\r\n\r\nAnd this is separate from the HEP meets ML award, which is submitted via email, am I correct? Thanks.\r\n\r\nYes. And for this we need your model as well, yes.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 97284,
      "author_name": "arjunsubway",
      "author_url": "",
      "post_date": "10/25/2015 04:22:08",
      "content": "<p>Hi,</p>\n\n<p>Since the deadline for the application is drawing closer, could you provide us with more information on dates for submission? What time on Monday (and time zone) do the papers need to be submitted by? Should the code be submitted via the 'Upload your model' on Kaggle and the pdf proposal on Easy Chair? And this is separate from the HEP meets ML award, which is submitted via email, am I correct? Thanks.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 97359,
      "author_name": "serdyukovpv",
      "author_url": "",
      "post_date": "10/26/2015 12:38:32",
      "content": "<ul>\n<li>What time on Monday (and time zone) do the papers need to be submitted by?</li>\n</ul>\n\n<p>It's the latest 23-59 on Monday on Earth :) \n<a href=\"https://en.wikipedia.org/wiki/Anywhere_on_Earth\">https://en.wikipedia.org/wiki/Anywhere_on_Earth</a></p>\n\n<p>Should the code be submitted via the 'Upload your model' on Kaggle and the pdf proposal on Easy Chair? </p>\n\n<p>If you just want to speak at the workshop and you are not applying for the Physics prize, you do not need to upload your model. We just need your PDF at Easychair.</p>\n\n<p>And this is separate from the HEP meets ML award, which is submitted via email, am I correct? Thanks.</p>\n\n<p>Yes. And for this we need your model as well, yes.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "96154": "Dear challenge participants, \r\n\r\nwe are organizing a [workshop][1] at [NIPS][2], the leading conference in the area of machine learning. This workshop will officially conclude the challenge, summarize its results and lessons learned and outline the directions for the future competitions. It will be held on 11th of December [at Montreal][3]. \r\n\r\nOur ultimate goal is to bring the Physics and ML communities together to initiate discussions on Physics-motivated problems and applications in ML. It is not unknown that the ML community is still largely untouched by the numerous learning challenges coming from Physics. We hope that as a result of this workshop (as well as a result of the Flavours of Physics challenge organized before the workshop and the new dataset that we shared in its scope that are to be discussed at the workshop), these problems will attract more attention from ML researchers.\r\n\r\nWe encourage you to participate in the workshop and report about your experiences in this challenge, your solutions and recommendations for the future competitions. In order to participate as a speaker or with a poster, consider [submitting][4] your proposal. \r\n\r\nMore details on the ALEPH workshop can be found at workshop pages:\r\nhttp://yandexdataschool.github.io/aleph2015/\r\n\r\n\r\n\r\nNB: application for the workshop participation and application for the Physics Prize are evaluated separately, so if you looking for both the Prize and the participation at the workshop, please apply twice. \r\n\r\n\r\n  [1]: http://yandexdataschool.github.io/aleph2015/\r\n  [2]: https://nips.cc/Register/\r\n  [3]: https://www.google.com/maps/place/Montreal+Convention+Centre/@45.505151,-73.559786,15z/data=!4m2!3m1!1s0x0:0x17d4bd31b9103f97\r\n  [4]: https://easychair.org/conferences/?conf=aleph2015",
    "97284": "Hi,\r\n\r\nSince the deadline for the application is drawing closer, could you provide us with more information on dates for submission? What time on Monday (and time zone) do the papers need to be submitted by? Should the code be submitted via the 'Upload your model' on Kaggle and the pdf proposal on Easy Chair? And this is separate from the HEP meets ML award, which is submitted via email, am I correct? Thanks.",
    "97359": "What time on Monday (and time zone) do the papers need to be submitted by?\r\n\r\nIt's the latest 23-59 on Monday on Earth :) \r\nhttps://en.wikipedia.org/wiki/Anywhere_on_Earth\r\n\r\nShould the code be submitted via the 'Upload your model' on Kaggle and the pdf proposal on Easy Chair? \r\n\r\nIf you just want to speak at the workshop and you are not applying for the Physics prize, you do not need to upload your model. We just need your PDF at Easychair.\r\n\r\nAnd this is separate from the HEP meets ML award, which is submitted via email, am I correct? Thanks.\r\n\r\nYes. And for this we need your model as well, yes."
  },
  "source": "meta"
}