gérard

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1. 1▶5 vir 12 - Back to basics - Special Guest: Anne Brasseur, 12/07/20265 vir 1249:33Notes
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2. 2▶5 vir 12 - Tëppel an Tun a Spawecken Special Guest: Michèle Turpel/Jemp Schuster, 21/06/20265 vir 1247:38Notes
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3. 3▶5 vir 12 - Viele Köche ... Special Guest: Anne Faber, 07/06/20265 vir 1252:28Notes
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4. 4▶5 vir 12 - Jickeclub - Special Guest: Serge Tonnar, 24/05/20265 vir 1249:44Notes
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5. 5▶5 vir 12 - 1. FC Schinnegebeess - Special Guest: Jeff Strasser, 10/05/20265 vir 1252:27Notes
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6. 6▶5 vir 12 - Prost - Special Guest: Jeff Konsbrück, 26/04/20265 vir 1244:07Notes
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7. 7▶Live with Gérard McleanTarnished PenniesNotes
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8. 8▶5 vir 12 - Brave new world - Special Guest: Yaya Van Chique, 15/03/20265 vir 1255:35Notes
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9. 9▶5 vir 12 - Iwwer Gott an d'Welt - Special Guest: Edmond Ries, 01/03/20265 vir 1253:33Notes
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10. 10▶5 vir 12 - Fuesent - Special Guest: DJ Hoffi, 08/02/20265 vir 1247:04Notes
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11. 11▶5 vir 12 - Dry January - Special Guest: Steve Martellini, 18/01/20265 vir 1246:59Notes
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12. 12▶The last farewell100 HarmonicasNotes
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13. 13▶Live with Gérard Mclean100 HarmonicasNotes
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14. 14▶Live with Gérard Mclean100 HarmonicasNotes
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15. 15▶Ring of Fire100 HarmonicasNotes
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16. 16▶Always on my Mind100 HarmonicasNotes
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17. 17▶Live with Gérard Mclean100 HarmonicasNotes
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18. 18▶Top of the world100 HarmonicasNotes
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19. 19▶500 miles100 HarmonicasNotes
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20. 20▶Live with Gérard Mclean100 HarmonicasNotes
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21. 21▶Live with Gérard Mclean100 HarmonicasNotes
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22. 22▶Live with Gérard Mclean100 HarmonicasNotes
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23. 23▶Live with Gérard Mclean100 HarmonicasNotes
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24. 24▶The Climb100 HarmonicasNotes
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25. 25▶Live with Gérard Mclean100 HarmonicasNotes
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26. 26▶Live with Gérard Mclean100 HarmonicasNotes
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27. 27▶Live with Gérard Mclean100 HarmonicasNotes
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28. 28▶Live with Gérard Mclean100 HarmonicasNotes
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29. 29▶Deep in the reeds in the early morning100 HarmonicasNotes
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30. 30▶Live with Gérard Mclean100 HarmonicasNotes
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31. 31▶Introductory lectures on first-order convex optimization (Lecture 2) by Praneeth NetrapalliStatistical Physics of Machine Learning 2020Notes
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32. 32▶Exploring the random landscapes of inference (Lecture 1) by Gérard Ben ArousStatistical Physics of Machine Learning 2020Notes
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33. 33▶Approximate Message Passing for Statistical Inference and Estimation by Cynthia RushStatistical Physics of Machine Learning 2020Notes
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34. 34▶How to Escape Saddle Points Efficiently by Praneeth NetrapalliStatistical Physics of Machine Learning 2020Notes
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35. 35▶Data assimilation and machine learning by Serge GrattonStatistical Physics of Machine Learning 2020Notes
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36. 36▶Exploring the random landscapes of inference (Lecture 3) by Gérard Ben ArousStatistical Physics of Machine Learning 2020Notes
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37. 37▶Analyses of gradient methods for the optimization of wide two layer by Lenaic ChizatStatistical Physics of Machine Learning 2020Notes
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38. 38▶Optimization with inexact gradient and function by Serge GrattonStatistical Physics of Machine Learning 2020Notes
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39. 39▶Zeros of polynomials, decay of correlations, and algorithms by Piyush SrivastavaStatistical Physics of Machine Learning 2020Notes
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40. 40▶Exploring the random landscapes of inference (Lecture 2) by Gérard Ben ArousStatistical Physics of Machine Learning 2020Notes
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41. 41▶Function Entropy in Deep-Learning Networks – Mean Field Behaviour and Large... by David SaadStatistical Physics of Machine Learning 2020Notes
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42. 42▶Restricted Boltzmann Machines: Stastical Physics and applications... by Simona CoccoStatistical Physics of Machine Learning 2020Notes
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43. 43▶Random concave functions on an equilateral lattice with periodic hessians by Hariharan NarayananStatistical Physics of Machine Learning 2020Notes
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44. 44▶Unraveling the mysteries of stochastic gradient descent for deep...  by Pratik ChaudhariStatistical Physics of Machine Learning 2020Notes
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45. 45▶Introductory lectures on first-order convex optimization (Lecture 1) by Praneeth NetrapalliStatistical Physics of Machine Learning 2020Notes
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