» Education » Permalink » Source
333

arXiv:2512.17689v1 Announce Type: cross
Abstract: In real data, missing values occur frequently, which affects the interpretation with interpretable machine learning (IML) methods. Recent work considers bias and shows that model explanations may differ between imputation methods, while ignoring add…
(0) Comments 0 💬
» Education » Permalink » Source
109

arXiv:2512.17264v1 Announce Type: new
Abstract: Scaling Approximate Nearest Neighbor Search (ANNS) to billions of vectors requires distributed indexes that balance accuracy, latency, and throughput. Yet existing index designs struggle with this tradeoff. This paper presents SPIRE, a scalable vector…
(0) Comments 0 💬
» Education » Permalink » Source
217

arXiv:2512.17855v1 Announce Type: new
Abstract: This work proposes a methodology to develop new numerical integration algorithms for ordinary differential equations based on state quantization, generalizing the notions of Linearly Implicit Quantized State Systems (LIQSS) methods. Using this idea, t…
(0) Comments 0 💬
» Education » Permalink » Source
308

arXiv:2512.17270v1 Announce Type: new
Abstract: Role-playing models (RPMs) are widely used in real-world applications but underperform when deployed in the wild. This degradation can be attributed to distribution shifts, including user, character, and dialogue compositional shifts. Existing methods…
(0) Comments 0 💬
» Education » Permalink » Source
320

arXiv:2512.17815v1 Announce Type: new
Abstract: Motivation: The clinical efficacy of antibody therapeutics critically depends on high-affinity target engagement, yet laboratory affinity-maturation campaigns are slow and costly. In computational settings, most protein language models (PLMs) are not …
(0) Comments 0 💬
» Education » Permalink » Source
120

arXiv:2512.16978v1 Announce Type: new
Abstract: Long-form multimodal video understanding requires integrating vision, speech, and ambient audio with coherent long-range reasoning. Existing benchmarks emphasize either temporal length or multimodal richness, but rarely both and while some incorporate…
(0) Comments 0 💬
» Education » Permalink » Source
119

arXiv:2512.17409v1 Announce Type: new
Abstract: Analyzing machine learning model performance stratified by patient and recording properties is becoming the accepted norm and often yields crucial insights about important model failure modes. Performing such analyses in a statistically rigorous manne…
(0) Comments 0 💬
» Education » Permalink » Source
234

arXiv:2501.06935v3 Announce Type: replace-cross
Abstract: Let $D=(V(D),A(D))$ be a digraph with at least one directed cycle. A set $F$ of arcs is a feedback arc set (FAS) if $D-F$ has no directed cycle. The FAS decomposition number ${\rm fasd}(D)$ of $D$ is the maximum number of pairwise disjoint F…
(0) Comments 0 💬
» Education » Permalink » Source
317

arXiv:2512.17058v1 Announce Type: new
Abstract: We prove the last remaining implication allowing to claim the equivalence of the following conditions for a complete separable metric space $X$:
(1) The $k$-nearest neighbour classifier is (weakly) universally consistent in $X$, (2) The strong Lebes…
(0) Comments 0 💬
» Education » Permalink » Source
220

arXiv:2512.16969v1 Announce Type: new
Abstract: Despite advances in scientific AI, a coherent framework for Scientific General Intelligence (SGI)-the ability to autonomously conceive, investigate, and reason across scientific domains-remains lacking. We present an operational SGI definition grounde…
(0) Comments 0 💬
» Education » Permalink » Source
109

arXiv:2512.08554v2 Announce Type: replace
Abstract: In this article, we give two extended space formulations, respectively, for the induced tree and path polytopes of chordal graphs with vertex and edge variables.
These formulations are obtained by proving that the induced tree and path extended …
(0) Comments 0 💬
» Education » Permalink » Source
111

arXiv:2512.17017v1 Announce Type: new
Abstract: Working with abstract information often relies on static, symbolic representations that constrain exploration. We introduce Explorable Ideas, a framework that externalizes abstract concepts into explorable environments where physical navigation coordi…
(0) Comments 0 💬
» Education » Permalink » Source
109

arXiv:2510.16882v2 Announce Type: replace
Abstract: Supervised fine-tuning (SFT) is a commonly used technique to adapt large language models (LLMs) to downstream tasks. In practice, SFT on a full dataset is computationally expensive and sometimes suffers from overfitting or bias amplification. This…
(0) Comments 0 💬
» Education » Permalink » Source
220

arXiv:2510.08461v2 Announce Type: replace
Abstract: We introduce a refinement-based Christoffel sampling (RCS) algorithm for least squares approximation in the span of a given, generally non-orthogonal set of functions $\Phi_n = \{\phi_1, \dots, \phi_n\}$. A standard sampling strategy for this prob…
(0) Comments 0 💬
» Education » Permalink » Source
234

arXiv:2505.14886v2 Announce Type: replace
Abstract: Winning competitive debates requires sophisticated reasoning and argument skills. There are unique challenges in the competitive debate: (1) The time constraints force debaters to make strategic choices about which points to pursue rather than cov…
(0) Comments 0 💬
» Education » Permalink » Source
109

arXiv:2512.17276v1 Announce Type: new
Abstract: Machine learning approaches for Alzheimer's disease (AD) diagnosis face a fundamental challenges. Clinical assessments are expensive and invasive, leaving ground truth labels available for only a fraction of neuroimaging datasets. We introduce Multi v…
(0) Comments 0 💬
← Prev Next →