SSA

SSA: Sparse Sparse Attention by Aligning Full and Sparse Attention Outputs in Feature Space

arXiv:2511.20102v4 Announce Type: replace Abstract: Sparse attention reduces the quadratic complexity of full self-attention but faces two challenges: (1) an attention gap, where applying sparse attention to full-attention-trained models causes performance degradation due to train-inference distribution mismatch, and (2) a capability gap, where models trained purely with sparse attention lack complete gradient flow, preventing them from matching full-attention performance. We propose SSA...

SSA: Sparse Sparse Attention by Aligning Full and Sparse Attention Outputs in Feature Space

Announce Type: replace Abstract: Sparse attention reduces the quadratic complexity of full self-attention but faces two challenges: (1) an attention gap, where applying sparse attention to full-attention-trained models causes performance degradation due to train-inference distribution mismatch, and (2) a capability gap, where models trained purely with sparse attention lack complete gradient flow, preventing them from matching full-attention performance. We propose SSA (Sparse Sparse...

Gradient estimators for parameter inference in discrete stochastic kinetic models

arXiv:2604.02121v2 Announce Type: replace Abstract: Stochastic kinetic models are ubiquitous in physics, yet inferring their parameters from experimental data remains challenging. For deterministic models, parameter inference often relies on gradients, which can be obtained efficiently through automatic differentiation (AD). However, AD cannot be applied directly to the Gillespie stochastic simulation algorithm (SSA), since sampling from a discrete set of reactions introduces...

Gradient estimators for parameter inference in discrete stochastic kinetic models

Announce Type: replace-cross Abstract: Stochastic kinetic models are ubiquitous in physics, yet inferring their parameters from experimental data remains challenging. For deterministic models, parameter inference often relies on gradients, which can be obtained efficiently through automatic differentiation (AD). However, AD cannot be applied directly to the Gillespie stochastic simulation algorithm (SSA), since sampling from a discrete set of reactions introduces non-differentiable operations.

Small-Signal Analyses Using Analytical IBR Models and Frequency-Dependent Th\'evenin Equivalents

arXiv:2606.04538v1 Announce Type: new Abstract: This paper investigates whether component-level studies can capture additional interactions through Small Signal Analysis (SSA) when the network connected to the Voltage Source Converter (VSC), typically modeled as a simple Thevenin Equivalent, is a more complex IBR-based network. The research investigates cases ranging from basic analytical to an IEEE 9-Bus EMT model, with and without Inverter-Based Resources (IBRs), synthesized as State-Space...

Trump’s DOGE team wanted to declare nearly 3 million living people dead to help drive out migrants, whistleblower claims

Trump’s DOGE team wanted to declare nearly 3 million living people dead to help drive out migrants, whistleblower claims ‘I was shocked. I couldn’t believe what I was hearing,’ the former Social Security Administration employee said - Bookmark - CommentsGo to comments President Donald Trump’s Department of Government Efficiency pushed to declare nearly 3 million living people dead as part of an effort to drive illegal immigrants out of the country, according to a new report. The plan, which...

Turning 65? Month-by-month plan to protect yourself

You have not turned 65 yet. But somewhere, your birthday may already be flagged in a database. That milestone is tied to Medicare eligibility, Social Security decisions and major financial choices.It can also put your name in front of insurance marketers, Medicare agents, lead generators and scammers around the same time.Here is the part many people miss: turning 65 can become a targeting event.

Port React Compiler to Rust

Android fake call detection warns you about scams

You know that little moment when your phone rings and the name on the screen makes you drop everything?Maybe it says your spouse, your daughter, your boss or your best friend. You answer because you trust the name. Then the voice sounds familiar too.

Android fake call detection warns you about scams

You know that little moment when your phone rings and the name on the screen makes you drop everything?Maybe it says your spouse, your daughter, your boss or your best friend. You answer because you trust the name. Then the voice sounds familiar too.