Tootfinder

🇺🇦 #NowPlaying on #BBC6Music's #NickGrimshaw
The Futureheads:
🎵 Radio Heart
#TheFutureheads
https://thefutureheads.bandcamp.com/track/radio-heart
https://open.spotify.com/track/4JIB0GDCs0IBHgLwyT6PYK

Operational Experience of the NML Cryogenic Plant at the FAST Test Facility
Timothy Wallace (Fermilab), Joaquim Creus-Prats (Fermilab), Joseph Hurd (Fermilab), Michael J White (Fermilab), Jerry Makara (Fermilab), Liujin Pei (Fermilab), Benjamin Hansen (Fermilab), Jay Theilacker (Fermilab), Rick Bossert (Fermilab), Alexander Martinez (Fermilab), James K Santucci (Fermilab), Sasha Romanov (Fermilab)

Operational Experience of the NML Cryogenic Plant at the FAST Test Facility
The NML cryogenic plant cools two individually cryostated superconducting radio frequency (SRF) capture cavities and one prototype ILC cryomodule with eight SRF cavities. This complex accelerates electrons at 150 MeV for the Integrable Optics Test Accelerator (IOTA) ring, located at the Fermilab Accelerator Science and Technology (FAST) facility. The cryogenic plant is composed of two nitrogen precooled Tevatron satellite refrigerators, two Mycom 2016C compressors, a cryogenic distribution syst…

🇺🇦 #NowPlaying on BBCRadio3's #ClassicalMixtape
Jorge Morel & Miloš Karadaglić:
🎵 Danza brasilera
#JorgeMorel #MilošKaradaglić
#Spotify

TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning
Songze Li, Mingxuan Zhang, Oubo Ma, Kang Wei, Shouling Ji
https://arxiv.org/abs/2506.09562

TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning
Deep reinforcement learning (DRL) has achieved remarkable success in a wide range of sequential decision-making domains, including robotics, healthcare, smart grids, and finance. Recent research demonstrates that attackers can efficiently exploit system vulnerabilities during the training phase to execute backdoor attacks, producing malicious actions when specific trigger patterns are present in the state observations. However, most existing backdoor attacks rely primarily on simplistic and heu…

Nou daar zijn we dan, een jaar #vangaslos balansventilatie, luchtwarmtepomp voor het warme water, bodemwarmtepomp voor de verwarming. wat zijn de resultaten? Kijk zelf, de drie belangrijkste grafieken:
de electriciteitsstromen in het huishouden
de vergelijking van het energieverbruik voor warm water en verwarming in het laatste jaar gasgebruik en het eerste gasloze jaar
het cumu…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new/
[6/6]:
TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement L...

🇺🇦 #NowPlaying on #BBC6Music's #LaurenLaverne
The Futureheads:
🎵 Decent Days And Nights
#TheFutureheads
https://open.spotify.com/track/0jI2UIQZuoLAbMOEXlWMgk

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Siouxsie and the Banshees:
🎵 Dear Prudence
#SiouxsieandtheBanshees
https://cleopatrarecords.bandcamp.com/track/dear-prudence-la-scaltra
https://open.spotify.com/track/34tFidHrETMAjsiK87WVVW

On the interplay between the BFKL resummation and high-energy factorization in Mueller-Navelet dijet production
A. A. Chernyshev, M. A. Nefedov, V. A. Saleev
https://arxiv.org/abs/2506.10458

On the interplay between the BFKL resummation and high-energy factorization in Mueller-Navelet dijet production
We study the interplay between the high-energy resummation based on the BFKL equation and initial state radiation effects, taken into account within the framework of the high-energy factorization, in the production of Mueller-Navelet dijets at hadron colliders. We use the solution of the NLO BFKL equation built out of eigenfunctions perturbatively constructed up to NLO to avoid the need for a special renormalization scale setting. We demonstrate that the various data sets from the FNAL Tevatron…

🇺🇦 #NowPlaying on #BBC6Music's #HuwStephens
Whitney:
🎵 Darling
#Whitney
https://tobydarling.bandcamp.com/track/whitneys-farewell
https://open.spotify.com/track/0WTyIytT4Yi0nHtWI29PVZ