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Related Articles from SNS
Parallel Tempering Initial Sampling in Inference-Time Reward Alignment
arXiv:2605.30991v1 Announce Type: new Abstract: Inference-time reward alignment steers pretrained diffusion and flow-based generative models to satisfy user-specified rewards without retraining. Recently, Sequential Monte Carlo (SMC) has emerged as a powerful framework for this task by iteratively filtering and propagating multiple particles. However, we show that standard SMC-based methods often suffer from poor performance because they initialize particles from a standard prior, whereas...
Dollar Is Best Bet in New Global Regime of High Rates, BMO Says
U.S. one-dollar bills are displayed on the floor of the New York Stock Exchange (NYSE) in New York, U.S., on Monday, Sept. 19, 2011. U.S. stocks fell, following the longest rally since July for the Standard & Poor's 500 Index, amid concern that Greece's debt crisis is worsening. Scott Eells/Bloomberg via Getty Images
Uncertainty-Guided Label Rebalancing for CPS Safety Monitoring
Announce Type: replace Abstract: Safety monitoring is essential for Cyber-Physical Systems (CPSs). However, unsafe events are rare in real-world CPS operations, creating an extreme class imbalance that degrades safety predictors. Standard rebalancing techniques perform poorly on time-series CPS telemetry, either generating unrealistic synthetic samples or overfitting on the minority class.
eMoT: evolving Memory-of-Thought via Symbolic Anchoring and Memory Corrosion
Announce Type: new Abstract: While Large Language Models (LLMs) achieve impressive performance on multi-step reasoning tasks, their reliability is persistently hindered by critical limitations such as unconstrained hallucinations and poor numerical computation. Fundamentally, these issues arise because standard models treat reasoning as a transient, one-off generation process rather than retaining and refining successful procedural logic. To address these challenges, we propose eMoT...
Pretraining Recurrent Networks without Recurrence
arXiv:2606.06479v1 Announce Type: new Abstract: Training recurrent neural networks (RNNs) requires assigning credit across long sequences of computations. Standard backpropagation through time (BPTT) addresses this problem poorly: it is sequential in time, limiting parallelism, and suffers from vanishing or exploding gradients, making long-range associations difficult to learn. We propose Supervised Memory Training (SMT), a method for training nonlinear RNNs that sidesteps recurrent credit...
Exploiting Chordal Sparsity for Globally Optimal Estimation with Factor Graphs
arXiv:2605.30617v1 Announce Type: new Abstract: Robust and efficient state estimation is crucial for perception, navigation, and control in robotics. State estimation problems are conveniently modeled using the factor-graph framework as enabled by modern software packages such as GTSAM or g2o. However, the standard solvers included in such frameworks are local and may converge to poor local minima, posing significant safety concerns.
Driver took Snapchat selfies seconds before killing pensioner on tricycle
Driver took Snapchat selfies seconds before killing pensioner on tricycle James Lawley, 81, was on a morning bike ride on his tricycle when he was struck by Matthew Isherwood, 28, in a black Seat Altea causing him to fall into the road. A pensioner riding his tricycle was killed by a motorist who had been taking Snapchat selfies and texting seconds before colliding with him, a court heard. James Lawley, 81, was on a morning bike ride on his racing blue tricycle when he was struck by Matthew...
Vanguard index product becomes first ETF to top $1 trillion in assets
Vanguard index product becomes first ETF to top $1 trillion in assets ORLANDO, Florida, June 3 : The Vanguard S&P 500 ETF, the index investing pioneer's flagship exchange-traded product, became the first in the history of ETFs to reach and exceed $1 trillion in assets, the investment firm confirmed on Wednesday. The Vanguard fund hit this milestone, the latest record in the remarkable ascent of exchange-traded funds, on Tuesday, less than 18 months after overtaking State Street Investment...
‘Underfilled and underwhelming’: the best (and worst) supermarket sushi, tasted and rated
Supermarket sushi doesn’t have the best reputation, so which selection is decidedly fishy and which one should you roll with?• The best smoked salmon, tasted and ratedMost supermarket sushi is so bad that it makes the fact that master sushi chefs in Japan traditionally train for 10 years or more seem entirely reasonable. That said, the products in this test aren’t all bad, though the bar is pretty low. My greatest concern, beyond the freshness of the seafood, was sustainability.
Deadly fire rips through boarding school in Kenya
The fire at the Utumishi Girls Academy started in the early hours of Thursday, killing at least 16, as the students were asleep in the dormitory block. More than 800 children were in the school at the time. Kenyan officials say the cause of the fire has not yet been established.