Tootfinder

Wander-bot: Windgetriebener Roboter soll Langstrecken ohne Akku erkunden
Wind soll einen Roboter auf Langzeitmissionen antreiben, der an die "Strandbeesten" erinnert. Mit einer Turbine statt eines Segels wird der Wind eingefangen.

Crosslisted article(s) found for math.SG. https://arxiv.org/list/math.SG/new
[1/1]:
- A positive formula for volumes of moduli spaces of flat unitary connections on compact surfaces
Quentin Fran\c{c}ois, David Garc\'ia-Zelada, Thierry L\'evy, Pierre Tarrago
https://arxiv.org/abs/2603.20517 https://mastoxiv.page/@arXiv_mathPR_bot/116283046159020694
- Gaugings of Groupoids, Strings in Shadows, and Emergent Poisson $\sigma$-Models
Rafa{\l} R. Suszek
https://arxiv.org/abs/2603.20914 https://mastoxiv.page/@arXiv_hepth_bot/116283207354031530
- Covariant Symplectic Geometry of Classical Particles
Joon-Hwi Kim
https://arxiv.org/abs/2603.21934 https://mastoxiv.page/@arXiv_hepth_bot/116283401018603840
- Geometric helices on del Pezzo surfaces from tilting
Pierrick Bousseau
https://arxiv.org/abs/2603.22065 https://mastoxiv.page/@arXiv_mathAG_bot/116283459704052384
- New Anosov flows via bicontact structures
Tali Pinsky, Federico Salmoiraghi
https://arxiv.org/abs/2603.22250 https://mastoxiv.page/@arXiv_mathDS_bot/116283344655702085
toXiv_bot_toot

Crosslisted article(s) found for math.OA. https://arxiv.org/list/math.OA/new
[1/1]:
- Time-Scaled Intertwining Cocycles and Identifiability of Multi-Semigroup Mixtures on Hilbert Oper...
Anton Alexa
https://arxiv.org/abs/2603.20322 https://mastoxiv.page/@arXiv_mathFA_bot/116283090397448396
- Universal Coefficients and Mayer-Vietoris for Moore Homology of Ample Groupoids
Luciano Melodia
https://arxiv.org/abs/2603.20861 https://mastoxiv.page/@arXiv_mathAT_bot/116283018602632921
- Cocycles and positive functionals in higher cohomology
Antonio L\'opez Neumann, Piotr W. Nowak
https://arxiv.org/abs/2603.21431 https://mastoxiv.page/@arXiv_mathAT_bot/116283163474031677
- Maximality Levels of the classical permutation group in the quantum permutation group
J. P. McCarthy
https://arxiv.org/abs/2603.21759 https://mastoxiv.page/@arXiv_mathQA_bot/116283160850717727
- Triangular Decomposition of the Crystal Lattice of Quantized Function Algebras: Revisited
Ayan Dey
https://arxiv.org/abs/2603.21868 https://mastoxiv.page/@arXiv_mathQA_bot/116283166064403090
- Cyclicity of stable matrix free polynomials over non-commutative operator unit balls
Jeet Sampat, Maximilian Tornes
https://arxiv.org/abs/2603.22129 https://mastoxiv.page/@arXiv_mathFA_bot/116283334169858979
toXiv_bot_toot

Replaced article(s) found for cs.PF. https://arxiv.org/list/cs.PF/new
[1/1]:
- TurboMem: High-Performance Lock-Free Memory Pool with Transparent Huge Page Auto-Merging for DPDK
Junyi Yang
https://arxiv.org/abs/2603.18690 https://mastoxiv.page/@arXiv_csPF_bot/116260351854881680
- Quantifying the Performance Gap for Simple Versus Optimal Dynamic Server Allocation Policies
Niklas Carlsson, Derek Eager
https://arxiv.org/abs/2507.19667 https://mastoxiv.page/@arXiv_csDC_bot/114935357201459831
toXiv_bot_toot

Crosslisted article(s) found for nlin.PS. https://arxiv.org/list/nlin.PS/new
[1/1]:
- Multi-ring necklace vortex solitons in Kerr nonlinear media with azimuthally modulated Bessel pot...
Ruolan Zhao, Jing Chen, Boris A. Malomed, Rongcao Yang
https://arxiv.org/abs/2602.18703 https://mastoxiv.page/@arXiv_physicsoptics_bot/116124716293004310
- Superflows around corners
Thomas Frisch, Christophe Josserand, Sergio Rica
https://arxiv.org/abs/2602.18876 https://mastoxiv.page/@arXiv_condmatquantgas_bot/116124612627245203
toXiv_bot_toot

Crosslisted article(s) found for nlin.AO. https://arxiv.org/list/nlin.AO/new
[1/1]:
- Watanabe-Strogatz Invariants in the Liouvillian Dynamics of Coupled Phase Oscillators via the Koo...
Keisuke Taga, Hiroya Nakao
https://arxiv.org/abs/2603.18809 https://mastoxiv.page/@arXiv_mathDS_bot/116260470813828155
- Emergent Higher-Order Structure from Fast Adaptive Networks
Christian Kuehn, Fergal Murphy
https://arxiv.org/abs/2603.19382 https://mastoxiv.page/@arXiv_mathDS_bot/116277367802915377
- Starvation suppression in scale-free metabolic networks: Dynamical mean-field analysis of dense c...
Kota Mitsumoto, Shuji Ishihara
https://arxiv.org/abs/2603.19850 https://mastoxiv.page/@arXiv_condmatstatmech_bot/116277547704240997
toXiv_bot_toot

[2026-04-24 Fri (UTC), 10 new articles found for stat.ML Machine Learning]
toXiv_bot_toot

Replaced article(s) found for q-bio.PE. https://arxiv.org/list/q-bio.PE/new
[1/1]:
- Multi-scale species richness estimation with deep learning
Victor Boussange, et al.
https://arxiv.org/abs/2507.06358 https://mastoxiv.page/@arXiv_qbioPE_bot/114827906343277830
- Speciation by local adaptation and isolation by distance in extended environments
Lara D. Hissa, Flavia M. D. Marquitti, Marcus A. M. de Aguiar
https://arxiv.org/abs/2508.06719 https://mastoxiv.page/@arXiv_qbioPE_bot/115014772512868183
- Sex chromosome stability and turnover across vertebrates: a developmental gene regulatory network...
Wen-Juan Ma, Ricard Fontser\`e, Tristan Cornelis, Paris Veltsos, Qi Zhou
https://arxiv.org/abs/2602.23624 https://mastoxiv.page/@arXiv_qbioPE_bot/116158604279592691
- Split-or-decompose: Improved FPT branching algorithms for maximum agreement forests
David Mestel, Steven Chaplick, Steven Kelk, Ruben Meuwese
https://arxiv.org/abs/2409.18634 https://mastoxiv.page/@arXiv_csDS_bot/113225219437770040
- Genetic contribution of advantaged ancestors in the biparental Moran model -- finite selection
Camille Coron (MIA Paris-Saclay), Yves Le Jan (LMO)
https://arxiv.org/abs/2502.01178 https://mastoxiv.page/@arXiv_mathPR_bot/113944371956056819
- Stability analysis and long-time convergence of a partial differential equation model of two-phas...
Luce Breuil (MERGE)
https://arxiv.org/abs/2603.19814 https://mastoxiv.page/@arXiv_mathAP_bot/116277582769324623
toXiv_bot_toot

Crosslisted article(s) found for physics.acc-ph. https://arxiv.org/list/physics.acc-ph/new
[1/1]:
- SHARP: A compact focusing system for medical applications using a diverging plasma lens
Sjobak, R{\o}d-Lindberg, Ellingsen, Drobniak, Rieker, Reaz, Lindstr{\o}m, Adli
https://arxiv.org/abs/2602.19712 https://mastoxiv.page/@arXiv_physicsmedph_bot/116124649279747246
toXiv_bot_toot

Replaced article(s) found for physics.flu-dyn. https://arxiv.org/list/physics.flu-dyn/new
[1/1]:
- On the stability of an in-line formation of hydrodynamically interacting flapping plates
Monika Nitsche, Anand U. Oza, Michael Siegel
https://arxiv.org/abs/2410.04626 https://mastoxiv.page/@arXiv_physicsfludyn_bot/113270998236203403
- Side-wall wetting and linear stability of falling films
Hammam Mohamed, J\"orn Sesterhenn
https://arxiv.org/abs/2504.13300 https://mastoxiv.page/@arXiv_physicsfludyn_bot/114374794050144417
- An Omni-Temporal Theory for Hydrodynamic Dispersion and Reaction in Porous Media
Md Abdul Hamid, Kyle C. Smith
https://arxiv.org/abs/2505.06063 https://mastoxiv.page/@arXiv_physicsfludyn_bot/114493702701690116
- Confirming Wave Turbulence Predictions in Rotating Turbulence
Omri Shaltiel, Omri Gat, Eran Sharon
https://arxiv.org/abs/2510.25446 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115462467154250733
- Using Physics Informed Neural Network (PINN) and Neural Network (NN) to Improve a $k-\omega$ Turb...
Lars Davidson
https://arxiv.org/abs/2511.12493 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115570134553603649
- Oscillating Detonation of Liquid Ammonia
Wenhao Wang, Zongmin Hu, Peng Zhang
https://arxiv.org/abs/2511.14167 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115575358542454196
- On the Poisson-Source Basis of Logarithmic Wall-Pressure-Variance Growth
Jonathan M. O. Massey, Joseph C. Klewicki, Beverley J. McKeon
https://arxiv.org/abs/2511.16776 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115603689363840109
- Convolutional causal learning for aerodynamic flows
Ryo Koshikawa, Ryo Araki, Qiong Liu, Kai Fukami
https://arxiv.org/abs/2601.19104 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115971839485449464
- Assessing engineering wake models against operational data: insights from the Lillgrund wind farm...
Siguenza-Alvarado, Harrison, Mohammadi, Vishwakarma, Bossanyi, Landberg, Bastankhah
https://arxiv.org/abs/2601.21035 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115983015393462612
- Neural equilibria for long-term prediction of nonlinear conservation laws
Benitez, Hegazy, Guo, Dokmani\'c, Mahoney, de Hoop
https://arxiv.org/abs/2501.06933 https://mastoxiv.page/@arXiv_csLG_bot/113825452743912532
- Self-similar rupture of thin films of power-law fluid
Michael C Dallaston, Steven A Kedda, Scott W McCue
https://arxiv.org/abs/2509.05383 https://mastoxiv.page/@arXiv_condmatsoft_bot/115173629129170202
- Instability and self-propulsion of flexible autophoretic filaments
Ursy Makanga, Akhil Varma, Panayiota Katsamba
https://arxiv.org/abs/2509.10153 https://mastoxiv.page/@arXiv_condmatsoft_bot/115207443699020835
- Analytical response functions for a compressible thin fluid layer with odd viscosity
Abdallah Daddi-Moussa-Ider, Yuto Hosaka, Shigeyuki Komura
https://arxiv.org/abs/2602.18136 https://mastoxiv.page/@arXiv_condmatsoft_bot/116119064615788127
toXiv_bot_toot

El Pork Choppo
bot by @…
No laws were broken in the making of this bot: don't have me abducted.
#satire #potus45

Replaced article(s) found for math.SG. https://arxiv.org/list/math.SG/new
[1/1]:
- Symplectic foliated fillings of sphere cotangent bundles
Francisco Presas, Sushmita Venugopalan
https://arxiv.org/abs/1809.10363
- Instability of Legendrian knottedness, and non-regular Lagrangian concordances of knots
Georgios Dimitroglou Rizell, Roman Golovko
https://arxiv.org/abs/2409.00290 https://mastoxiv.page/@arXiv_mathSG_bot/113078258814855540
- Floer homotopy theory and degenerate Lagrangian intersections
Kenneth Blakey
https://arxiv.org/abs/2410.11478 https://mastoxiv.page/@arXiv_mathSG_bot/113316098418952654
- Slices for reductive group actions in algebraic and holomorphic symplectic geometry
Peter Crooks, Rebecca Goldin, Yiannis Loizides
https://arxiv.org/abs/2512.02956 https://mastoxiv.page/@arXiv_mathSG_bot/115654549153065527
- On the symplectic geometry of branched hyperbolic surfaces in genus two
Gianluca Faraco, Arnaud Maret
https://arxiv.org/abs/2511.23323 https://mastoxiv.page/@arXiv_mathGT_bot/115643648617235810
- Open-Closed String Field Theory from Calabi-Yau Categories and its Applications to Enumerative Ge...
Jakob Ulmer
https://arxiv.org/abs/2603.18186 https://mastoxiv.page/@arXiv_mathQA_bot/116260383969858357
toXiv_bot_toot

Crosslisted article(s) found for cs.PF. https://arxiv.org/list/cs.PF/new
[1/1]:
- A lightweight Outlier Detection for Characterizing Radio- and Environment-Specific Link Quality F...
Zegeye Mekasha Kidane, Waltenegus Dargie
https://arxiv.org/abs/2603.21107 https://mastoxiv.page/@arXiv_csNI_bot/116283370214683583
- AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search
Jaber Jaber, Osama Jaber
https://arxiv.org/abs/2603.21331 https://mastoxiv.page/@arXiv_csLG_bot/116283647765450257
toXiv_bot_toot

Replaced article(s) found for math.OA. https://arxiv.org/list/math.OA/new
[1/1]:
- The MF property for amalgamated free products
Tatiana Shulman
https://arxiv.org/abs/2603.13564 https://mastoxiv.page/@arXiv_mathOA_bot/116243419262526447
- Entropies and Poisson boundaries of random walks on groups with rapid decay
Benjamin Anderson-Sackaney, Tim de Laat, Ebrahim Samei, Matthew Wiersma
https://arxiv.org/abs/2410.19689 https://mastoxiv.page/@arXiv_mathDS_bot/113383971988142278
- Approximating the coefficients of the Bessel functions
Andrew Yao
https://arxiv.org/abs/2510.10370 https://mastoxiv.page/@arXiv_mathCA_bot/115371837937501428
- Universal Coefficients and Mayer-Vietoris Sequence for Groupoid Homology
Luciano Melodia
https://arxiv.org/abs/2602.08998 https://mastoxiv.page/@arXiv_mathAT_bot/116045714979672068
toXiv_bot_toot

Replaced article(s) found for nlin.AO. https://arxiv.org/list/nlin.AO/new
[1/1]:
- Collective dynamics on higher-order networks
Battiston, Bick, Lucas, Mill\'an, Skardal, Zhang
https://arxiv.org/abs/2510.05253 https://mastoxiv.page/@arXiv_nlinAO_bot/115337501038715496
- Interpretable Early Warnings using Machine Learning in an Online Game-experiment
Guillaume Falmagne, Anna B. Stephenson, Simon A. Levin
https://arxiv.org/abs/2502.09880 https://mastoxiv.page/@arXiv_physicssocph_bot/114018000442685203
toXiv_bot_toot

Replaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
David Holzm\"uller, Francis Bach

Crosslisted article(s) found for q-bio.PE. https://arxiv.org/list/q-bio.PE/new
[1/1]:
- Coevolutionary dynamics of cooperation, risk, and cost in collective risk games
Lichen Wang, Shijia Hua, Yuyuan Liu, Liang Zhang, Linjie Liu, Attila Szolnoki
https://arxiv.org/abs/2603.20706 https://mastoxiv.page/@arXiv_nlinAO_bot/116283150662518361
- The survival of the weakest in a biased donation game
Chaoqian Wang, Jingyang Li, Xinwei Wang, Wenqiang Zhu, Attila Szolnoki
https://arxiv.org/abs/2603.20998 https://mastoxiv.page/@arXiv_csGT_bot/116283057597871532
- Individual-based stochastic model with unbounded growth, birth and death rates: a tightness result
Virgile Brodu
https://arxiv.org/abs/2603.21634 https://mastoxiv.page/@arXiv_mathPR_bot/116283160166400308
toXiv_bot_toot

Crosslisted article(s) found for nlin.AO. https://arxiv.org/list/nlin.AO/new
[1/1]:
- A robust method for classification of chimera states
S. Nirmala Jenifer, Riccardo Muolo, Paulsamy Muruganandam, Timoteo Carletti
https://arxiv.org/abs/2603.22026 https://mastoxiv.page/@arXiv_nlinPS_bot/116283130704080857
- Feedback percolation on complex networks
Hoseung Jang, Ginestra Bianconi, Byungjoon Min
https://arxiv.org/abs/2603.22089 https://mastoxiv.page/@arXiv_condmatstatmech_bot/116283351865751750
toXiv_bot_toot

[2026-02-24 Tue (UTC), no new articles found for nlin.PS Pattern Formation and Solitons]
toXiv_bot_toot

Are democracy pie floaters a thing? They should definitely be a thing. #auspol #sapol https://social.chinwag.org/@abc_bot/11

[2026-02-24 Tue (UTC), 3 new articles found for physics.acc-ph Accelerator Physics]
toXiv_bot_toot

The Lyin' King
bot by @…
No laws were broken in the making of this bot: cancel the hit squad.
#satire #potus45

Replaced article(s) found for cs.PF. https://arxiv.org/list/cs.PF/new
[1/1]:
- Advanced Scheduling Strategies for Distributed Quantum Computing Jobs
Gongyu Ni, Davide Ferrari, Lester Ho, Michele Amoretti
https://arxiv.org/abs/2602.24152 https://mastoxiv.page/@arXiv_quantph_bot/116159025673610399
toXiv_bot_toot

Replaced article(s) found for math.SG. https://arxiv.org/list/math.SG/new
[1/1]:
- On geometric hydrodynamics and infinite-dimensional magnetic systems
Levin Maier
https://arxiv.org/abs/2506.00544 https://mastoxiv.page/@arXiv_mathSG_bot/114618285871817153
- Special Lagrangians and Bridgeland stable objects beyond geometric stability conditions: the prod...
Yu-Wei Fan
https://arxiv.org/abs/2602.03041
toXiv_bot_toot

Replaced article(s) found for nlin.AO. https://arxiv.org/list/nlin.AO/new
[1/1]:
- Symmetry-induced activity patterns of active-inactive clusters in complex networks
Anil Kumar, V. K. Chandrasekar, D. V. Senthilkumar
https://arxiv.org/abs/2511.03300 https://mastoxiv.page/@arXiv_nlinAO_bot/115501762590964953
- Quantifying Influence and Information Transfer in a Modified Vicsek Model with Non-reciprocal Int...
Jiahuan Pang, Wendong Wang
https://arxiv.org/abs/2506.20888 https://mastoxiv.page/@arXiv_condmatstatmech_bot/114754478375124999
toXiv_bot_toot

Crosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Regime-Calibrated Demand Priors for Ride-Hailing Fleet Dispatch and Repositioning
Indar Kumar, Akanksha Tiwari

[2026-03-24 Tue (UTC), 4 new articles found for math.OA Operator Algebras]
toXiv_bot_toot

Agolf Shitler
bot by @…
No laws were broken in the making of this bot: tell the black helicopters to return to base.
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Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models: An Empirical Study using Environmental and Visual Predictors
Sherly Alfonso-S\'anchez, Cristi\'an Bravo, Kristina G. Stankova
https://arxiv.org/abs/2604.21893

[2026-03-24 Tue (UTC), 1 new article found for cs.PF Performance]
toXiv_bot_toot

[2026-03-23 Mon (UTC), 1 new article found for math.SG Symplectic Geometry]
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$k$-graph algebras are iterated Cuntz-Pimsner algebras -- from the bottom up
Valentin Deaconu, Menev\c{s}e Ery\"uzl\"u Paulovicks, S. Kaliszewski, John Quigg
https://arxiv.org/abs/2603.20923 https://arxiv.org/pdf/2603.20923 https://arxiv.org/html/2603.20923
arXiv:2603.20923v1 Announce Type: new
Abstract: We introduce a new method of expressing a $k$-graph $C^*$-algebra as a Cuntz-Pimsner algebra. Kumjian, Pask, and Sims have done this directly, using a linking algebra approach and a $(k-1)$-graph algebra. This can be iterated downward. Our process, on the other hand, starts at the bottom, with Pimsner's theorem for graph algebras, and iterates upward. We actually work with product systems over $\mathbb N^k$, and the result for $k$-graphs is a special case. Our iteration step involves a ``decategorization'' of a recent theorem showing that the Cuntz-Pimsner construction is functorial at the level of ``enchilada categories''.
toXiv_bot_toot

Girth Vader
bot by @…
No laws were broken in the making of this bot: let's leave the extrajudicial killing out of it.
#satire #potus45

Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions
Di Wu, Ling Liang, Haizhao Yang
https://arxiv.org/abs/2604.21849

[2026-03-24 Tue (UTC), no new articles found for math.SG Symplectic Geometry]
toXiv_bot_toot

[2026-03-24 Tue (UTC), 1 new article found for nlin.AO Adaptation and Self-Organizing Systems]
toXiv_bot_toot

Democratizing AI: A Comparative Study in Deep Learning Efficiency and Future Trends in Computational Processing
Lisan Al Amin, Md Ismail Hossain, Rupak Kumar Das, Mahbubul Islam, Saddam Mukta, Abdulaziz Tabbakh
https://arxiv.org/abs/2603.20920 https://arxiv.org/pdf/2603.20920 https://arxiv.org/html/2603.20920
arXiv:2603.20920v1 Announce Type: new
Abstract: The exponential growth in data has intensified the demand for computational power to train large-scale deep learning models. However, the rapid growth in model size and complexity raises concerns about equal and fair access to computational resources, particularly under increasing energy and infrastructure constraints. GPUs have emerged as essential for accelerating such workloads. This study benchmarks four deep learning models (Conv6, VGG16, ResNet18, CycleGAN) using TensorFlow and PyTorch on Intel Xeon CPUs and NVIDIA Tesla T4 GPUs. Our experiments demonstrate that, on average, GPU training achieves speedups ranging from 11x to 246x depending on model complexity, with lightweight models (Conv6) showing the highest acceleration (246x), mid-sized models (VGG16, ResNet18) achieving 51-116x speedups, and complex generative models (CycleGAN) reaching 11x improvements compared to CPU training. Additionally, in our PyTorch vs. TensorFlow comparison, we observed that TensorFlow's kernel-fusion optimizations reduce inference latency by approximately 15%. We also analyze GPU memory usage trends and projecting requirements through 2025 using polynomial regression. Our findings highlight that while GPUs are essential for sustaining AI's growth, democratized and shared access to GPU resources is critical for enabling research innovation across institutions with limited computational budgets.
toXiv_bot_toot

B(H) is not a twisted groupoid C*-algebra
Alcides Buss, Luiz Felipe Garcia, Tom\'as Pacheco
https://arxiv.org/abs/2603.21946 https://arxiv.org/pdf/2603.21946 https://arxiv.org/html/2603.21946
arXiv:2603.21946v1 Announce Type: new
Abstract: We show that $B(H)$ for an infinite dimensional Hilbert space $H$ cannot be realized as the reduced twisted $C^*$-algebra of any locally compact Hausdorff \'etale groupoid.
The proof is based on the canonical conditional expectation $$C_r^*(G,\Sigma)\to C_0(G^{(0)})$$ and a structural analysis of the resulting diagonal subalgebra inside $B(H)$. We show that this diagonal must be an atomic abelian von Neumann algebra, and then exclude both possibilities for its spectrum.
If the unit space is finite, one obtains a tracial state on $C_r^*(G,\Sigma)$, which is impossible for $B(H)$. If it is infinite, the groupoid structure forces a block-sparsity phenomenon for compactly supported sections, which is incompatible with $B(H)$.
This provides the first examples of $C^*$-algebras that cannot be realized as reduced twisted \'etale groupoid $C^*$-algebras.
toXiv_bot_toot

Combover Castro
bot by @…
No laws were broken in the making of this bot: rescind the warrant.
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There Will Be a Scientific Theory of Deep Learning
Jamie Simon, Daniel Kunin, Alexander Atanasov, Enric Boix-Adser\`a, Blake Bordelon, Jeremy Cohen, Nikhil Ghosh, Florentin Guth, Arthur Jacot, Mason Kamb, Dhruva Karkada, Eric J. Michaud, Berkan Ottlik, Joseph Turnbull
https://arxiv.org/abs/2604.21691…

A Kernel Nonconformity Score for Multivariate Conformal Prediction
Louis Meyer, Wenkai Xu
https://arxiv.org/abs/2604.21595 https://arxiv.org/pdf/2604.21595…

Trumpster Fire
bot by @…
No laws were broken in the making of this bot: let's not make entertainment lead to internment.
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Coevolutionary dynamics of cooperation, risk, and cost in collective risk games
Lichen Wang, Shijia Hua, Yuyuan Liu, Liang Zhang, Linjie Liu, Attila Szolnoki
https://arxiv.org/abs/2603.20706 https://arxiv.org/pdf/2603.20706 https://arxiv.org/html/2603.20706
arXiv:2603.20706v1 Announce Type: new
Abstract: Addressing both natural and societal challenges requires collective cooperation. Studies on collective-risk social dilemmas have shown that individual decisions are influenced by the perceived risk of collective failure. However, existing feedback evolving game models often focus on a single feedback mechanism, such as the coupling between cooperation and risk or between cooperation and cost. In many real-world scenarios, however, the level of cooperation, the cost of cooperating, and the collective risk are dynamically interlinked. Here, we present an evolutionary game model that considers the interplay of these three variables. Our analysis shows that the worst-case scenario, characterized by full defection, maximum risk, and the highest cost of cooperation, remains a stable evolutionary attractor. Nevertheless, cooperation can emerge and persist because the system also supports stable equilibria with non-zero cooperation. The system exhibits multistability, meaning that different initial conditions lead to either sustained cooperation or a tragedy of the commons. These findings highlight that initial levels of cooperation, cost, and risk collectively determine whether a population can avert a tragic outcome.
toXiv_bot_toot

Polynomials in $c$-free random variables with applications to free denoising
Adrian Celestino, Franz Lehner, Kamil Szpojankowski
https://arxiv.org/abs/2603.21372 https://arxiv.org/pdf/2603.21372 https://arxiv.org/html/2603.21372
arXiv:2603.21372v1 Announce Type: new
Abstract: We study distributions of polynomials in conditionally free (c-free) random variables, a notion of independence for two-state noncommutative probability spaces introduced by Bozejko, Leinert and Speicher. To this end we establish recursive relations between the joint Boolean cumulants of c-free random variables, analogous to previously found recursions for Boolean cumulants of free random variables. The algebraic reformulation of these recursions on the free associative algebra provides an effective formal machinery for the computation of the moment generating functions and thus the distributions of arbitrary self-adjoint polynomials in c-free random variables. As an application of a recent observation, our approach can be used to determine conditional expectations of the form $E[a|P(a,b)]$, where $P(a,b)$ is a self-adjoint polynomial in free (in the sense of Voiculescu) random variables $a,b$. We illustrate this with an example where $P(a,b)=i[a,b]$. Finally we define orthogonal projections that formally play the role of conditional expectations in the framework of c-freeness and share some properties with the conditional expectations of free variables. In particular they can be used to re-derive by purely algebraic methods the formula of Popa and Wang for the $\Sigma$-transform for the c-free multiplicative convolution.
toXiv_bot_toot

Information Geometry via the Q-Root Transform
Levin Maier
https://arxiv.org/abs/2603.20081 https://arxiv.org/pdf/2603.20081 https://arxiv.org/html/2603.20081
arXiv:2603.20081v1 Announce Type: new
Abstract: In this paper, we introduce \emph{$\ell^p$-information geometry}, an infinite-dimensional framework that shares key features with the geometry of the space of probability densities \( \mathrm{Dens}(M) \) on a closed manifold, while also incorporating aspects of measure-valued information geometry. We define the \emph{$\ell^2$-probability simplex} with a noncanonical differentiable structure induced via the \emph{$q$-root transform} from an open subset of the \( \ell^q \)-sphere. This choice makes the \(q\)-root transform an \emph{isometry} and allows us to construct the \(\ell^2\)- and \(\ell^q\)-Fisher--Rao geometries, including \emph{Amari--\v{C}encov \(\alpha\)-connections} and a \emph{Chern connection} in the \(\ell^q\)-setting.
We then apply this framework to an infinite-dimensional linear optimization problem. We show that the corresponding gradient flow with respect to the \(\ell^2\)--Fisher--Rao metric can be solved explicitly, converges to a maximizer under a natural monotonicity assumption, and admits an interpretation as the geodesic flow of an \emph{exponential connection}. In particular, we prove that this \(e\)-connection is \emph{geodesically complete}. We further relate these flows to a \emph{completely integrable Hamiltonian system} through a \emph{momentum map} associated with a Hamiltonian torus action on infinite-dimensional complex projective space.
Finally, inspired by the \(\ell^2\)-theory, we outline an analogous Fisher--Rao geometry for \( \mathrm{Dens}(M) \) on possibly noncompact Riemannian manifolds, showing that, with a suitable spherical differentiable structure, the square-root transform remains an \emph{isometry}.
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A single algorithm for both restless and rested rotting bandits
Julien Seznec, Pierre M\'enard, Alessandro Lazaric, Michal Valko
https://arxiv.org/abs/2604.21432 https://

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Operational tracking loss in nonautonomous second-order oscillator networks
Veronica Sanz
https://arxiv.org/abs/2603.19420 https://arxiv.org/pdf/2603.19420 https://arxiv.org/html/2603.19420
arXiv:2603.19420v1 Announce Type: new
Abstract: We study when a network of coupled oscillators with inertia ceases to follow a time-dependent driving protocol coherently, using a simplified graph-based model motivated by inverter-dominated energy systems. We show that this loss of tracking is diagnosed most clearly in the frequency dynamics, rather than in phase-based observables. Concretely, a tracking ratio built from the frequency-disagreement observable $E_\omega(t)$ and normalized by the instantaneous second-order modal decay rate yields a robust protocol-dependent freeze-out time whose relative dispersion decreases with system size. Graph topology matters substantially: the resulting freeze-out time is only partly captured by the algebraic connectivity $\lambda_2$, while additional structural descriptors, particularly Fiedler-mode localization and low-spectrum structure, improve the explanation of graph-to-graph variation. By contrast, phase-sector observables develop strong non-monotonic and underdamped structure, so simple diagonal low-mode relaxation closures are not quantitatively reliable in the same regime. These results identify the frequency sector as the natural operational sector for nonautonomous tracking loss in second-order oscillator networks and clarify both the usefulness and the limits of reduced spectral descriptions in this setting.
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The Unitary Conjugation Groupoid as a Universal Mediator of the Baum--Connes Assembly Map
Shih-Yu Chang
https://arxiv.org/abs/2603.22162 https://arxiv.org/pdf/2603.22162 https://arxiv.org/html/2603.22162
arXiv:2603.22162v1 Announce Type: new
Abstract: We show that the Baum--Connes assembly map factors canonically through the unitary conjugation groupoid, which serves as a universal mediator among groupoid models that are Morita equivalent to a given transformation groupoid. This establishes a structural link between groupoid-based index theory and the Baum--Connes program at the level of K-theory. Building on our previous development of unitary conjugation groupoids and their associated index theory, we extend the $K_1$ index framework beyond the Type I setting to non-Type I examples, including the irrational rotation algebra and amenable crossed products. Using Morita equivalence, we relate unitary conjugation groupoids to transformation and action groupoids, enabling the transfer of descent-type index constructions to these settings. Our main result shows that, among all groupoid realizations that are Morita equivalent to a transformation groupoid, the factorization through the unitary conjugation groupoid is canonical at the level of K-theory. This identifies the unitary conjugation groupoid as a universal intermediary for the Baum--Connes assembly map. As applications, we recover the classical index pairing with the tracial state for the irrational rotation algebra in the sense of Connes, and we prove that for amenable crossed products the descent construction agrees with the analytic Baum--Connes assembly map under Morita equivalence. These results provide a conceptual interpretation of the assembly map in terms of internal symmetries of crossed product algebras and suggest a unified framework connecting Fredholm-type index data with equivariant K-theory via groupoid methods.
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CLT-Optimal Parameter Error Bounds for Linear System Identification
Yichen Zhou, Stephen Tu
https://arxiv.org/abs/2604.21270 https://arxiv.org/pdf/2604.212…

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How did the Urban Network Flow Adapt to the Collapse of the Carola Bridge?
Jyotirmaya Ijaradar, Ning Xie, Lei Wei, Sebastian Pape, Matthias K\"orner, Meng Wang
https://arxiv.org/abs/2603.19947 https://arxiv.org/pdf/2603.19947 https://arxiv.org/html/2603.19947
arXiv:2603.19947v1 Announce Type: new
Abstract: The unexpected collapse of the Carola Bridge in Dresden, Germany, provides a rare opportunity to characterise how urban network traffic adapts to an unexpected infrastructure disruption. This study develops a data-driven analytical framework using traffic data from the Dresden traffic management system to assess the short-term impacts of the disruption. By combining statistical comparisons of pre- and post-collapse motorised traffic distributions, peak-hour shifts, and Park-and-Ride data analyses, the framework reveals how traffic dynamics and traveller choices adjust under infrastructure disruption. Results reveal that the two closest bridges, the Albert and Marien Bridges, absorb the majority of the diverted motorised traffic. In particular, the daily traffic volume on the Albert bridge increases by up to 81%, which is equivalent to 3.5 hours of traffic operating with maximum flow. Peak hours on critical links are significantly prolonged, reaching up to 250 minutes. Besides redistribution, the overall daily motorised traffic crossing the Elbe river declines by approximately 8,000 vehicles, while Park-and-Ride usage increases by up to 188%, suggesting a potential travel mode shift after the disruption. The study reveals the patterns of traffic redistribution following an unexpected disruption and provides insights for resilience planning and emergency traffic management.
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Calibeating Prediction-Powered Inference
Lars van der Laan, Mark Van Der Laan
https://arxiv.org/abs/2604.21260 https://arxiv.org/pdf/2604.21260

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Refining Covariance Matrix Estimation in Stochastic Gradient Descent Through Bias Reduction
Ziyang Wei, Wanrong Zhu, Jingyang Lyu, Wei Biao Wu
https://arxiv.org/abs/2604.21203 h…

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Learning to Emulate Chaos: Adversarial Optimal Transport Regularization
Gabriel Melo, Leonardo Santiago, Peter Y. Lu
https://arxiv.org/abs/2604.21097 https://

Achieving the Kesten-Stigum bound in the non-uniform hypergraph stochastic block model
Manuel Fernandez V, Ludovic Stephan, Yizhe Zhu
https://arxiv.org/abs/2604.20907 https://…

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Replaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Accumulated Aggregated D-Optimal Designs for Estimating Main Effects in Black-Box Models
Chih-Yu Chang, Ming-Chung Chang

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Crosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints
Konstantinos Ziliaskopoulos, Alexander Vinel

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Geometric Renyi Differential Privacy: Ricci Curvature Characterized by Heat Diffusion Mechanisms
Xiaotian Chang, Yangdi Jiang, Cyrus Mostajeran, Qirui Hu
https://arxiv.org/abs/2604.20761

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On Bayesian Softmax-Gated Mixture-of-Experts Models
Nicola Bariletto, Huy Nguyen, Nhat Ho, Alessandro Rinaldo
https://arxiv.org/abs/2604.20551 https://arxi…

Efficient Symbolic Computations for Identifying Causal Effects
Benjamin Hollering, Pratik Misra, Nils Sturma
https://arxiv.org/abs/2604.20516 https://arxiv…

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Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms
Yaiza Bermudez, Samir Perlaza, I\~naki Esnaola
https://arxiv.org/abs/2604.20492 https…

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Properties and limitations of geometric tempering for gradient flow dynamics
Francesca Romana Crucinio, Sahani Pathiraja
https://arxiv.org/abs/2604.20301 https://

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