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Neural Information Processing Systems

D.2 Countries Hyperparameters are summarized in table 6. We ran all experiments on a single CPU (Apple M2). 15 optimizer AdamW learning rate 0.0003 learning rate schedule cosine training epochs 100 weight decay 0.00001 batch size 4 embedding dimensions 10 embedding initialization one-hot, fixed neural networks LeNet5 max search depth / Table 5: Hyperparameters for the MNIST -addition experiments.



Major 6.0 magnitude earthquake strikes West Coast with shockwaves felt across major cities

Daily Mail - Science & tech

Trump suffers Minneapolis meltdown as president flinches at ICE shooting and aides panic: 'He doesn't like it' Heiress reveals cruel outbursts her hedge funder husband made after dumping her for younger woman while sheltering from Covid at $7.5m Martha's Vineyard compound America's biggest banks line up to bash Trump over his plot to cut credit card bills as they outline obvious problem Amy Schumer sent me these late-night texts when I last wrote about her. Sorry sweetie, truth hurts... here's what I think of you now! KENNEDY I've uncovered a seedy new dating red flag. So many men are at it... I can't believe I didn't spot the warning signs sooner: JANA HOCKING Major 6.0 magnitude earthquake strikes West Coast with shockwaves felt across major cities Taylor Swift and'defeated' Travis Kelce are facing'first real test' in their relationship... as insiders say'things are changing' What Trump's desire to buy Greenland may reveal about him... psychologist unpacks the president's personality Kate leaves fans stunned with her down-to-earth nature as she's spotted driving herself to glitzy reception at Windsor Castle Kylie Kelce makes raunchy reference to her and Jason's sex life after his post-NFL glow up Gene Hackman's Santa Fe mansion listed for over $6M one year after he died in the home with his wife Students were raped after being forced to live in complex alongside 125 refugees to'aid integration': Terrified Dutch youngsters'were subjected to years of sex assaults and violence' Bitter, past his best and seething with jealousy: Horrifying'insight' into mind of surgeon accused of killing ex-wife and her dentist spouse NFL team could be forced to move over wild conspiracy theory as players' fears mount Dementia is NOT inevitable: scientists reveal how MILLIONS of cases can be prevented as they unveil a'roadmap' to beat the disease Trump threatens tariffs over Greenland if allies don't play ball: 'We need it' Titanic star with a link to Clint Eastwood emerges on rare outing in LA can you guess who she is? Karoline Leavitt takes vicious swipe at Supreme Court over bombshell hearing on trans athletes in women's sport I freaked out when my toddler dropped her baby sister... it ended up saving her life Renee Good's last moments revealed as woman suffered FOUR gunshot wounds during deadly clash with ICE Baseball is'DEAD', claim livid fans as free-spending Dodgers sign new star player to take payroll over $2 BILLION Major 6.0 magnitude earthquake strikes West Coast with shockwaves felt across major cities A major earthquake has struck off the coast of Oregon, sending shockwaves felt in multiple cities along the US West Coast with more quakes expected to follow.


Trio of small quakes rattles Bay Area near Santa Rosa

Los Angeles Times

Things to Do in L.A. Tap to enable a layout that focuses on the article. A magnitude 4.0 earthquake was reported Sunday at 3:30 p.m. in the Bay Area. It was followed in the same area by two smaller quakes. This is read by an automated voice. Please report any issues or inconsistencies here .


Magnitude 6.7 quake off Aomori triggers tsunami advisory

The Japan Times

Magnitude 6.7 quake off Aomori triggers tsunami advisory Areas under a tsunami advisory are shown in yellow following a magnitude 6.7 earthquake on Friday | JAPAN METEOROLOGICAL AGENCY A magnitude 6.7 earthquake triggered a tsunami advisory for parts of Hokkaido as well as the coasts of Aomori, Iwate and Miyagi prefectures on Friday. The quake struck at 11:44 a.m., registering 4 on Japan's seismic intensity scale in some areas. Waves of up to 1 meter are possible in areas under the advisory, according to the Japan Meteorological Agency (JMA). A tsunami advisory, a level lower than a tsunami warning, urges those in the area to stay away from the ocean. Evacuation is not required under an advisory.


California rattled by rapid succession of earthquakes with shaking felt hundreds of miles from epicenter

Daily Mail - Science & tech

Leaked recording reveals Campbell's exec's sickening remarks about iconic soup's ingredients How Lauren Sanchez would REALLY look if she'd never had rumored plastic surgery Trump's losing control... MAGA's imploding... and White House insiders tell me why they're REALLY worried: ANDREW NEIL Billionaire family posts VERY unusual obituary after heir, 40, met violent end at $2.8m hunting lodge following marriage scandal These women have lost as much as nine stone WITHOUT jabs: Now they reveal secret to their stunning success, the extraordinary event that brought them together and how it's changed their lives... Judge throws out Comey and James cases as Trump's beauty queen prosecutor is humiliated Her moving videos about the handsome boyfriend who ghosted her went viral and catapulted her to overnight fame. Kate Gosselin's ex Jon is seen at his splashy wedding for the first time as son Collin weighs in on his siblings not attending Fugitive'Slender Man' stabber Morgan Geyser snapped'just Google me' when asked for ID by cops who found her with MUCH older lover It all seems to be falling apart now! Pete Hegseth drops hammer on Democrat senator in'sedition' storm as court martial looms after Trump's execution threat Sabrina Carpenter looks unrecognisable in throwback snap from seven years ago as fans call her rebranding'wild' Neuralink's'Patient 4' feared missing months after getting revolutionary brain chip... now his wife tells the REAL heartbreaking story NFL's first transgender cheerleader makes explosive allegation against Carolina Panthers Slash your cholesterol by a third in just a month... hundreds of thousands are on a new diet that's transforming lives. California was shaken early Monday as a series of earthquakes struck in quick succession, raising concern in the seismically active region. At least seven tremors have been reported, ranging in magnitude from 1.1 to 4.1, with the epicenter near The Geysers.


The Greek island of Santorini saw thousands of earthquakes last year - now scientists know why

BBC News

Scientists reveal what triggered Santorini'earthquake swarm' The swarm of tens of thousands of earthquakes near the Greek island of Santorini earlier this year was triggered by molten rock pumping through an underground channel over three months, scientists have discovered. They used physics and artificial intelligence to work out exactly what caused the more than 25,000 earthquakes, which travelled about 20km (12 miles) horizontally through the Earth's crust. They used each of the tremors as virtual sensors, then used artificial intelligence to analyse patterns associated with them. One of the lead researchers, Dr Stephen Hicks from UCL, said combining physics and machine learning in this way could help forecast volcanic eruptions. The seismic activity started to stir beneath the Greek islands of Santorini, Amorgos, and Anafi in January 2025.


Q2E: Query-to-Event Decomposition for Zero-Shot Multilingual Text-to-Video Retrieval

Dipta, Shubhashis Roy, Ferraro, Francis

arXiv.org Artificial Intelligence

Recent approaches have shown impressive proficiency in extracting and leveraging parametric knowledge from Large-Language Models (LLMs) and Vision-Language Models (VLMs). In this work, we consider how we can improve the identification and retrieval of videos related to complex real-world events by automatically extracting latent parametric knowledge about those events. We present Q2E: a Query-to-Event decomposition method for zero-shot multilingual text-to-video retrieval, adaptable across datasets, domains, LLMs, or VLMs. Our approach demonstrates that we can enhance the understanding of otherwise overly simplified human queries by decomposing the query using the knowledge embedded in LLMs and VLMs. We additionally show how to apply our approach to both visual and speech-based inputs. To combine this varied multimodal knowledge, we adopt entropy-based fusion scoring for zero-shot fusion. Through evaluations on two diverse datasets and multiple retrieval metrics, we demonstrate that Q2E outperforms several state-of-the-art baselines. Our evaluation also shows that integrating audio information can significantly improve text-to-video retrieval. We have released code and data for future research.


A Appendix Sum Product Networks Causal Inference with Tractable Probabilistic Models

Neural Information Processing Systems

In the main paper we have mostly considered perfect interventions i.e., interventions that render the However, as already suggested, our model is not restricted to any specific intervention type or instantiation. Nonetheless, it can be observed that some interventions are being modelled more precisely than others, e.g. A.2 On the Visualization of Mean Densities For Earthquake and Cancer data sets, we use 5 different number of sum node weights: 600, 1200, 1800, 2400 and 3200. For the synthetic causal health data set we use 300, 600, 1000, 1500, 2000. The results are overall consistent with the presented i.e., the mean performance are consistent across Table 2: Dimensions of the used data sets .


LongRM: Revealing and Unlocking the Context Boundary of Reward Modeling

Tang, Zecheng, Ji, Baibei, Qiu, Quantong, Wang, Haitian, Liang, Xiaobo, Li, Juntao, Zhang, Min

arXiv.org Artificial Intelligence

Reward model (RM) plays a pivotal role in aligning large language model (LLM) with human preferences. As real-world applications increasingly involve long history trajectories, e.g., LLM agent, it becomes indispensable to evaluate whether a model's responses are not only high-quality but also grounded in and consistent with the provided context. Yet, current RMs remain confined to short-context settings and primarily focus on response-level attributes (e.g., safety or helpfulness), while largely neglecting the critical dimension of long context-response consistency. In this work, we introduce Long-RewardBench, a benchmark specifically designed for long-context RM evaluation, featuring both Pairwise Comparison and Best-of-N tasks. Our preliminary study reveals that even state-of-the-art generative RMs exhibit significant fragility in long-context scenarios, failing to maintain context-aware preference judgments. Motivated by the analysis of failure patterns observed in model outputs, we propose a general multi-stage training strategy that effectively scales arbitrary models into robust Long-context RMs (LongRMs). Experiments show that our approach not only substantially improves performance on long-context evaluation but also preserves strong short-context capability. Notably, our 8B LongRM outperforms much larger 70B-scale baselines and matches the performance of the proprietary Gemini 2.5 Pro model.