Dynamic mounds made of methane at a depth of some 3,640 meters
act like “frozen reefs” for a bizarre array of deep-sea creatures, new observations reveal
https://www.scientificamerican.com/article/bizarre-ecosystem-disco…
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/6]:
- Performance Asymmetry in Model-Based Reinforcement Learning
Jing Yu Lim, Rushi Shah, Zarif Ikram, Samson Yu, Haozhe Ma, Tze-Yun Leong, Dianbo Liu
https://arxiv.org/abs/2505.19698 https://mastoxiv.page/@arXiv_csLG_bot/114578810521008766
- Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependenc...
Jinkwan Jang, Hyungjin Park, Jinmyeong Choi, Taesup Kim
https://arxiv.org/abs/2506.08660 https://mastoxiv.page/@arXiv_csLG_bot/114664238967892509
- Wasserstein Barycenter Soft Actor-Critic
Zahra Shahrooei, Ali Baheri
https://arxiv.org/abs/2506.10167 https://mastoxiv.page/@arXiv_csLG_bot/114675175949432731
- Foundation Models for Causal Inference via Prior-Data Fitted Networks
Yuchen Ma, Dennis Frauen, Emil Javurek, Stefan Feuerriegel
https://arxiv.org/abs/2506.10914 https://mastoxiv.page/@arXiv_csLG_bot/114675529854402158
- FREQuency ATTribution: benchmarking frequency-based occlusion for time series data
Dominique Mercier, Andreas Dengel, Sheraz Ahmed
https://arxiv.org/abs/2506.18481 https://mastoxiv.page/@arXiv_csLG_bot/114738421450807709
- Complexity-aware fine-tuning
Andrey Goncharov, Daniil Vyazhev, Petr Sychev, Edvard Khalafyan, Alexey Zaytsev
https://arxiv.org/abs/2506.21220 https://mastoxiv.page/@arXiv_csLG_bot/114754764750730849
- Transfer Learning in Infinite Width Feature Learning Networks
Clarissa Lauditi, Blake Bordelon, Cengiz Pehlevan
https://arxiv.org/abs/2507.04448 https://mastoxiv.page/@arXiv_csLG_bot/114818005803079705
- A hierarchy tree data structure for behavior-based user segment representation
Liu, Kang, Iyer, Malik, Li, Wang, Lu, Zhao, Wang, Liu, Liu, Liang, Yu
https://arxiv.org/abs/2508.01115 https://mastoxiv.page/@arXiv_csLG_bot/114975999992144374
- One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement Lea...
Thanh Nguyen, Chang D. Yoo
https://arxiv.org/abs/2508.13904 https://mastoxiv.page/@arXiv_csLG_bot/115060568241390847
- Uncertainty Propagation Networks for Neural Ordinary Differential Equations
Hadi Jahanshahi, Zheng H. Zhu
https://arxiv.org/abs/2508.16815 https://mastoxiv.page/@arXiv_csLG_bot/115094785677272005
- Learning Unified Representations from Heterogeneous Data for Robust Heart Rate Modeling
Zhengdong Huang, Zicheng Xie, Wentao Tian, Jingyu Liu, Lunhong Dong, Peng Yang
https://arxiv.org/abs/2508.21785 https://mastoxiv.page/@arXiv_csLG_bot/115128450608548173
- Monte Carlo Tree Diffusion with Multiple Experts for Protein Design
Liu, Cao, Jiang, Luo, Duan, Wang, Sosnick, Xu, Stevens
https://arxiv.org/abs/2509.15796 https://mastoxiv.page/@arXiv_csLG_bot/115247429156900905
- From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting
Xilin Dai, Zhijian Xu, Wanxu Cai, Qiang Xu
https://arxiv.org/abs/2509.19975 https://mastoxiv.page/@arXiv_csLG_bot/115264498084813952
- Why High-rank Neural Networks Generalize?: An Algebraic Framework with RKHSs
Yuka Hashimoto, Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
https://arxiv.org/abs/2509.21895 https://mastoxiv.page/@arXiv_csLG_bot/115287261047939306
- From Parameters to Behaviors: Unsupervised Compression of the Policy Space
Davide Tenedini, Riccardo Zamboni, Mirco Mutti, Marcello Restelli
https://arxiv.org/abs/2509.22566 https://mastoxiv.page/@arXiv_csLG_bot/115287379672141023
- RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
Haoyu He, Haozheng Luo, Yan Chen, Qi R. Wang
https://arxiv.org/abs/2509.23115 https://mastoxiv.page/@arXiv_csLG_bot/115293273559547106
- Polychromic Objectives for Reinforcement Learning
Jubayer Ibn Hamid, Ifdita Hasan Orney, Ellen Xu, Chelsea Finn, Dorsa Sadigh
https://arxiv.org/abs/2509.25424 https://mastoxiv.page/@arXiv_csLG_bot/115298579764580635
- Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models
Siddarth Venkatraman, et al.
https://arxiv.org/abs/2509.26626 https://mastoxiv.page/@arXiv_csLG_bot/115298789487177431
- Cautious Weight Decay
Chen, Li, Liang, Su, Xie, Pierse, Liang, Lao, Liu
https://arxiv.org/abs/2510.12402 https://mastoxiv.page/@arXiv_csLG_bot/115377759317818093
- TeamFormer: Shallow Parallel Transformers with Progressive Approximation
Wei Wang, Xiao-Yong Wei, Qing Li
https://arxiv.org/abs/2510.15425 https://mastoxiv.page/@arXiv_csLG_bot/115405933861293858
- Latent-Augmented Discrete Diffusion Models
Dario Shariatian, Alain Durmus, Umut Simsekli, Stefano Peluchetti
https://arxiv.org/abs/2510.18114 https://mastoxiv.page/@arXiv_csLG_bot/115417332500265972
- Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease using Machine Learning Method...
Mary E. An, Paul Griffin, Jonathan G. Stine, Ramakrishna Balakrishnan, Soundar Kumara
https://arxiv.org/abs/2510.22293 https://mastoxiv.page/@arXiv_csLG_bot/115451746201804373
toXiv_bot_toot
Being on this side of the world does give me a head start on #MondayRandom10, so if you’re not in the Antipodes, consider this SundayEveningRandom10, instead, as appropriate. 😉
1. Garbage—“Milk”
2. Argatu’—“Hutulca”
3. Dead Kennedys—“Holiday in Cambodia”
4. Rage Against the Machine—“People of the Sun”
5. 10cc—“I’m Not In Love”
6. No Doubt—“Hella Good”
7. Simo…
The #TuneTuesday theme this week is #UnexpectedWhiplash - songs that start in one style before suddenly transforming into another.
How about a track that I doubt you've ever heard unless you were kicking around #Milwaukee
GMIMS-DRAGONS: A Faraday Depth Survey of the Northern Sky Covering 350–1030 MHz / A Three-dimensional Model for the Reversal in the Local Large-scale #Interstellar Magnetic Field: https://iopscience.iop.org/article/10.3847/1538-4365/ae2471 / https://iopscience.iop.org/article/10.3847/1538-4357/ae28d1 -> New map of the Milky Way’s magnetism offers insights into cosmic evolution / Two new studies reveal structural complexity in the galaxy: https://news.ok.ubc.ca/2026/01/29/new-map-of-the-milky-ways-magnetism-offers-insights-into-cosmic-evolution/ / https://www.ucalgary.ca/news/mapping-magnetic-field-milky-way
While helping my mum with something recently, I've noticed that her #GMail started featuring a banner that she ran out of space, and mails will stop arriving in less than a month. As expected, she never even noticed it. On the other hand, I had two thoughts about it.
Firstly, of course, #Google are shameless assholes (Microsoft's even worse, as I boosted at some point before). Mom's new phone came with Google Photos preinstalled in place of vendor's gallery, and of course it automatically started making backups of her photos and movies in the "cloud", or as I'd like to call it, to pedophiles. The photos finally filled up the free space, and Google started doing everything to convince her to buy more space. I honestly doubt she'd be able to figure out that she needed to turn these backups off and wipe them; if anything, I suspect she'd just start hopelessly removing photos from the phone, which might not have helped at all.
Secondly, it's that if such a thing happened to me, I probably wouldn't even know, because I'm reading my mail via a mail client. So I wouldn't ever have seen their banner. Well, unless they also send a mail about it, and my mom missed it among all the spam.
#GAFAM
The U.S. military has employed new "Precision Strike Missile" (PrSM)
"short"-range ballistic missiles as part of ongoing operations against Iran.
This looks to be the first combat use of the PrSM, which only began entering service roughly two years ago.
The operational debut of the new missiles showcases the significantly greater range they offer compared to their predecessors,
the "Army Tactical Missile System" (ATACMS),
and much e…