Tootfinder

Spike Agreement Dependent Plasticity: A scalable Bio-Inspired learning paradigm for Spiking Neural Networks
Saptarshi Bej, Muhammed Sahad E, Gouri Lakshmi, Harshit Kumar, Pritam Kar, Bikas C Das
https://arxiv.org/abs/2508.16216

Spike Agreement Dependent Plasticity: A scalable Bio-Inspired learning paradigm for Spiking Neural Networks
We introduce Spike Agreement Dependent Plasticity (SADP), a biologically inspired synaptic learning rule for Spiking Neural Networks (SNNs) that relies on the agreement between pre- and post-synaptic spike trains rather than precise spike-pair timing. SADP generalizes classical Spike-Timing-Dependent Plasticity (STDP) by replacing pairwise temporal updates with population-level correlation metrics such as Cohen's kappa. The SADP update rule admits linear-time complexity and supports efficient h…

CytoSAE: Interpretable Cell Embeddings for Hematology
Muhammed Furkan Dasdelen, Hyesu Lim, Michele Buck, Katharina S. G\"otze, Carsten Marr, Steffen Schneider
https://arxiv.org/abs/2507.12464

CytoSAE: Interpretable Cell Embeddings for Hematology
Sparse autoencoders (SAEs) emerged as a promising tool for mechanistic interpretability of transformer-based foundation models. Very recently, SAEs were also adopted for the visual domain, enabling the discovery of visual concepts and their patch-wise attribution to tokens in the transformer model. While a growing number of foundation models emerged for medical imaging, tools for explaining their inferences are still lacking. In this work, we show the applicability of SAEs for hematology. We pr…

Regulating Next-Generation Implantable Brain-Computer Interfaces: Recommendations for Ethical Development and Implementation
Renee Sirbu, Jessica Morley, Tyler Schroder, Mariarosaria Taddeo, Raghavendra Pradyumna Pothukuchi, Muhammed Ugur, Abhishek Bhattacharjee, Luciano Floridi
https://arxiv.org/abs/2506.12540

Regulating Next-Generation Implantable Brain-Computer Interfaces: Recommendations for Ethical Development and Implementation
Brain-computer interfaces offer significant therapeutic opportunities for a variety of neurophysiological and neuropsychiatric disorders and may perhaps one day lead to augmenting the cognition and decision-making of the healthy brain. However, existing regulatory frameworks designed for implantable medical devices are inadequate to address the unique ethical, legal, and social risks associated with next-generation networked brain-computer interfaces. In this article, we make nine recommendatio…

Scalar Lattices and Probabilistic Shaping for Dithered Wyner-Ziv Quantization
Muhammed Yusuf Sener (Shitz), Gerhard Kramer (Shitz), Shlomo Shamai (Shitz), Wen Xu
https://arxiv.org/abs/2506.13162

Scalar Lattices and Probabilistic Shaping for Dithered Wyner-Ziv Quantization
Scalar lattice quantization with a modulo operator, dithering, and probabilistic shaping is applied to the Wyner-Ziv (WZ) problem with a Gaussian source and mean square error distortion. The method achieves the WZ rate-distortion pairs. The analysis is similar to that for dirty paper coding but requires additional steps to bound the distortion because the modulo shift is correlated with the source noise. The results extend to vector sources by reverse waterfilling on the spectrum of the covaria…

Progress toward the detection of the gravitational-wave background from stellar-mass binary black holes: a mock data challenge
Xiao-Xiao Kou, Muhammed Saleem, Vuk Mandic, Colm Talbot, Eric Thrane
https://arxiv.org/abs/2506.14179

Progress toward the detection of the gravitational-wave background from stellar-mass binary black holes: a mock data challenge
While the third LIGO--Virgo gravitational-wave transient catalog includes 90 signals, it is believed that ${\cal O}(10^5)$ binary black holes merge somewhere in the Universe every year. Although these signals are too weak to be detected individually with current observatories, they combine to create a stochastic background, which is potentially detectable in the near future. LIGO--Virgo searches for the gravitational-wave background using cross-correlation have so far yielded upper limits. Howe…

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
Muhammed Ustaomeroglu, Guannan Qu
https://arxiv.org/abs/2506.06179

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
Self-attention has emerged as a core component of modern neural architectures, yet its theoretical underpinnings remain elusive. In this paper, we study self-attention through the lens of interacting entities, ranging from agents in multi-agent reinforcement learning to alleles in genetic sequences, and show that a single layer linear self-attention can efficiently represent, learn, and generalize functions capturing pairwise interactions, including out-of-distribution scenarios. Our analysis r…

Validation of Hermes-3 turbulence simulations against the TCV-X21 diverted L-mode reference case
B D Dudson, M Kryjak, H Muhammed, J Omotani
https://arxiv.org/abs/2506.12180

Validation of Hermes-3 turbulence simulations against the TCV-X21 diverted L-mode reference case
Electrostatic flux-driven turbulence simulations with the Hermes-3 code are performed in TCV L-mode conditions in forward and reversed toroidal field configurations, and compared to the TCV-X21 reference dataset [D.S. Oliveira and T. Body et al. 2022] qualitatively and with a quantitative methodology. Using only the magnetic equilibrium, total power across the separatrix (120kW) and total particle flux to the targets (3e21/s) as inputs, the simulations produce time-averaged plasma profiles in g…

Beyond Content: How Grammatical Gender Shapes Visual Representation in Text-to-Image Models
Muhammed Saeed, Shaina Raza, Ashmal Vayani, Muhammad Abdul-Mageed, Ali Emami, Shady Shehata
https://arxiv.org/abs/2508.03199

Beyond Content: How Grammatical Gender Shapes Visual Representation in Text-to-Image Models
Research on bias in Text-to-Image (T2I) models has primarily focused on demographic representation and stereotypical attributes, overlooking a fundamental question: how does grammatical gender influence visual representation across languages? We introduce a cross-linguistic benchmark examining words where grammatical gender contradicts stereotypical gender associations (e.g., ``une sentinelle'' - grammatically feminine in French but referring to the stereotypically masculine concept ``guard'').…

Mergers Fall Short: Non-merger Channels Required for Galactic Heavy Element Production
Muhammed Saleem, Hsin-Yu Chen, Daniel M. Siegel, Philippe Landry, Jocelyn S. Read, Kaile Wang
https://arxiv.org/abs/2508.06020

Mergers Fall Short: Non-merger Channels Required for Galactic Heavy Element Production
Since the discovery of the binary neutron star merger GW170817 and its associated kilonova, neutron star mergers have been established as a key production channel for $r$-process elements in the Universe. However, observations of $r$-process abundances as inferred from stellar spectra of Milky Way disk stars, together with chemical evolution modeling, suggest that additional channels are needed to fully account for the $r$-process element enrichment in the Milky Way. Neutron star-black hole mer…

Maximal subgroups of free projection- and idempotent-generated semigroups with applications to partition monoids
James East, Robert D. Gray, P. A. Azeef Muhammed, Nik Ruskuc
https://arxiv.org/abs/2507.06600

Maximal subgroups of free projection- and idempotent-generated semigroups with applications to partition monoids
This paper investigates the maximal subgroups of a free projection-generated regular $*$-semigroup $PG(P)$ over a projection algebra $P$, and their relationship to the maximal subgroups of the free idempotent-generated semigroup $IG(E)$ over the corresponding biordered set $E = E(P)$. In the first part of the paper we obtain a number of general presentations by generators and defining relations, in each case reflecting salient combinatorial/topological properties of the groups. In the second pa…

From Code to Career: Assessing Competitive Programmers for Industry Placement
Md Imranur Rahman Akib, Fathima Binthe Muhammed, Umit Saha, Md Fazlul Karim Patwary, Mehrin Anannya, Md Alomgeer Hussein, Md Biplob Hosen
https://arxiv.org/abs/2508.00772

From Code to Career: Assessing Competitive Programmers for Industry Placement
In today's fast-paced tech industry, there is a growing need for tools that evaluate a programmer's job readiness based on their coding performance. This study focuses on predicting the potential of Codeforces users to secure various levels of software engineering jobs. The primary objective is to analyze how a user's competitive programming activity correlates with their chances of obtaining positions, ranging from entry-level roles to jobs at major tech companies. We collect user data using t…

3D Human Mesh Estimation from Single View RGBD
Ozhan Suat, Bedirhan Uguz, Batuhan Karagoz, Muhammed Can Keles, Emre Akbas
https://arxiv.org/abs/2508.08178 https://

3D Human Mesh Estimation from Single View RGBD
Despite significant progress in 3D human mesh estimation from RGB images; RGBD cameras, offering additional depth data, remain underutilized. In this paper, we present a method for accurate 3D human mesh estimation from a single RGBD view, leveraging the affordability and widespread adoption of RGBD cameras for real-world applications. A fully supervised approach for this problem, requires a dataset with RGBD image and 3D mesh label pairs. However, collecting such a dataset is costly and challe…

Comprehensive Analysis of Behavioral Hardware Impairments in Cell-Free Massive MIMO-OFDM Uplink: Centralized Operation
\"Ozlem Tu\u{g}fe Demir, Muhammed Selman Somuncu, Ahmet M. Elbir, Emil Bj\"ornson
https://arxiv.org/abs/2507.21626

Comprehensive Analysis of Behavioral Hardware Impairments in Cell-Free Massive MIMO-OFDM Uplink: Centralized Operation
Cell-free massive MIMO is a key 6G technology, offering superior spectral and energy efficiency. However, its dense deployment of low-cost access points (APs) makes hardware impairments unavoidable. While narrowband impairments are well-studied, their impact in wideband systems remains unexplored. This paper provides the first comprehensive analysis of hardware impairments, such as nonlinear distortion in low-noise amplifiers, phase noise, in-phase-quadrature imbalance, and low-resolution analo…

Confronting General Relativity with Principal Component Analysis: Simulations and Results from GWTC-3 Events
Parthapratim Mahapatra, Sayantani Datta, Ish Gupta, Poulami Dutta Roy, Muhammed Saleem, Purnima Narayan, Soumen Roy, Jan Steinhoff, Deirdre Shoemaker, Alan J. Weinstein, Anuradha Gupta, B. S. Sathyaprakash, K. G. Arun
https://arxiv.…

Confronting General Relativity with Principal Component Analysis: Simulations and Results from GWTC-3 Events
We present a comprehensive assessment of multiparameter tests of general relativity (GR) in the inspiral regime of compact binary coalescences using Principal Component Analysis (PCA). Our analysis is based on an extensive set of simulated gravitational wave signals, including both general relativistic and non-GR sources, injected into zero-noise data colored by the noise power spectral densities of the LIGO and Virgo detectors at their designed sensitivities. We evaluate the performance of PCA…

Open Molecular Crystals 2025 (OMC25) Dataset and Models
Vahe Gharakhanyan, Luis Barroso-Luque, Yi Yang, Muhammed Shuaibi, Kyle Michel, Daniel S. Levine, Misko Dzamba, Xiang Fu, Meng Gao, Xingyu Liu, Haoran Ni, Keian Noori, Brandon M. Wood, Matt Uyttendaele, Arman Boromand, C. Lawrence Zitnick, Noa Marom, Zachary W. Ulissi, Anuroop Sriram
https://

Open Molecular Crystals 2025 (OMC25) Dataset and Models
The development of accurate and efficient machine learning models for predicting the structure and properties of molecular crystals has been hindered by the scarcity of publicly available datasets of structures with property labels. To address this challenge, we introduce the Open Molecular Crystals 2025 (OMC25) dataset, a collection of over 27 million molecular crystal structures containing 12 elements and up to 300 atoms in the unit cell. The dataset was generated from dispersion-inclusive de…

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy
Muhammed Golec, Maha AlabdulJalil
https://arxiv.org/abs/2506.04290 https://

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy
Large Language Models (LLM), which have developed in recent years, enable credit risk assessment through the analysis of financial texts such as analyst reports and corporate disclosures. This paper presents the first systematic review and taxonomy focusing on LLMbased approaches in credit risk estimation. We determined the basic model architectures by selecting 60 relevant papers published between 2020-2025 with the PRISMA research strategy. And we examined the data used for scenarios such as …

Scalable Etch-Free Transfer of Low-Dimensional Materials from Metal Films to Diverse Substrates
Kentaro Yumigeta (Department of Materials Science & Engineering, University of Arizona, Tucson, Arizona, USA), Muhammed Yusufoglu (Department of Materials Science & Engineering, University of Arizona, Tucson, Arizona, USA), Mamun Sarker (Department of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA), Rishi Raj (Department of Chemical Engineering and Materials Scienc…

Scalable Etch-Free Transfer of Low-Dimensional Materials from Metal Films to Diverse Substrates
Low-dimensional materials hold great promises for exploring emergent physical phenomena, nanoelectronics, and quantum technologies. Their synthesis often depends on catalytic metal films, from which the synthesized materials must be transferred to insulating substrates to enable device functionality and minimize interfacial interactions during quantum investigations. Conventional transfer methods, such as chemical etching or electrochemical delamination, degrade material quality, limit scalabil…

Twisted products of monoids
James East, Robert D. Gray, P. A. Azeef Muhammed, Nik Ru\v{s}kuc
https://arxiv.org/abs/2507.04486 https://

Twisted products of monoids
A twisting of a monoid $S$ is a map $Φ:S\times S\to\mathbb{N}$ satisfying the identity $Φ(a,b) + Φ(ab,c) = Φ(a,bc) + Φ(b,c)$. Together with an additive commutative monoid $M$, and a fixed $q\in M$, this gives rise a so-called twisted product $M\times_Φ^qS$, which has underlying set $M\times S$ and multiplication $(i,a)(j,b) = (i+j+Φ(a,b)q,ab)$. This construction has appeared in the special cases where $M$ is $\mathbb{N}$ or $\mathbb{Z}$ under addition, $S$ is a diagram monoid (e.g.~parti…

FastCSP: Accelerated Molecular Crystal Structure Prediction with Universal Model for Atoms
Vahe Gharakhanyan, Yi Yang, Luis Barroso-Luque, Muhammed Shuaibi, Daniel S. Levine, Kyle Michel, Viachaslau Bernat, Misko Dzamba, Xiang Fu, Meng Gao, Xingyu Liu, Keian Noori, Lafe J. Purvis, Tingling Rao, Brandon M. Wood, Ammar Rizvi, Matt Uyttendaele, Andrew J. Ouderkirk, Chiara Daraio, C. Lawrence Zitnick, Arman Boromand, Noa Marom, Zachary W. Ulissi, Anuroop Sriram

FastCSP: Accelerated Molecular Crystal Structure Prediction with Universal Model for Atoms
Crystal Structure Prediction (CSP) of molecular crystals plays a central role in applications, such as pharmaceuticals and organic electronics. CSP is challenging and computationally expensive due to the need to explore a large search space with sufficient accuracy to capture energy differences of a few kJ/mol between polymorphs. Dispersion-inclusive density functional theory (DFT) provides the required accuracy but its computational cost is impractical for a large number of putative structures…

Wideband Glide-Symmetric Slow-Wave Structure for Millimeter-Wave Sheet Beam TWTs
Robert Marosi, Muhammed Zuboraj, Filippo Capolino
https://arxiv.org/abs/2505.22927

Wideband Glide-Symmetric Slow-Wave Structure for Millimeter-Wave Sheet Beam TWTs
We introduce a slow-wave structure (SWS) for a millimeter-wave sheet-beam traveling-wave tube (TWT) with wide bandwidth. The wideband and stable operation is enabled through the topological properties associated with glide-symmetry that close the bandgap at the $3π$-point and also make the on-axis interaction impedance negligible for the backward wave. This space harmonic structure is designed to operate in the $V$-band over 55-68 GHz with synchronism to a 5.2 kV, 11 mA sheet electron beam tha…

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Quantifying the impact of the Tamm-Dancoff approximation on the computed spectra of transition-metal systems
Muhammed A. Dada, Sarah Pak, Matthew N. Ward, Megan Simons, Daniel R. Nascimento
https://arxiv.org/abs/2507.00314

Quantifying the impact of the Tamm-Dancoff approximation on the computed spectra of transition-metal systems
The Tamm-Dancoff Approximation (TDA) offers a computationally efficient alternative to full linear-response Time-Dependent Density Functional Theory (TDDFT) for calculating electronic excited states, particularly in large molecular systems. By neglecting the coupling between excitation and de-excitation channels, TDA simplifies the TDDFT response equations into a Hermitian form. This not only reduces computational cost but also eliminates numerical instabilities that can arise in the full non-H…