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1 paper in the last four weeks, down 67% on the four weeks before. 0.0% of all new papers.

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Sharpness-Aware Minimization (SAM) Improves Classification Accuracy of Bacterial Raman Spectral Data Enabling Portable Diagnostics
Sep 16, 2026Kaitlin Zareno, Jarett Dewbury, Siamak K. Sorooshyari +2Raman Antimicrobial Peptide
Department of Mechanical Engineering MASSachusetts Institute of Technology Cambridge, MA 02139, USA · Department of Statistics Stanford University Palo Alto, CA 94305, USA · Google Research Mountain View, CA 94043, USA
iPINN for Broadband CARS Phase Retrieval: A Framework for Function Approximation and Inverse Modeling Problems in Nonlinear Spectroscopy
Sep 1, 2026Ravi Teja Vulchi, Carl Messerschmidt, Mohammadsadegh Vafaeinezhad +4Parametric Physics-Informed Neural Network Signal Reconstruction
Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research · Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI)
Decision Tree and K-Means Analysis of Raman Spectra for Edible Oils: A Physics-Informed AI Approach
Aug 20, 2026Amrita Shaw, Chandrasekar S. N., Sai Muthukumar V. +2Raman Hyperspectral Image
Department of Food and Nutritional Sciences, Sri Sathya Sai Institute of Higher Learning, Vidyagiri, Prasanthi Nilayam, Sri Sathya Sai District, Andhra Pradesh, India – 515134. · Aix-Marseille University, Marseille, 13007, France. · Department of Physics, Sri Sathya Sai Institute of Higher Learning, Vidyagiri, Prasanthi Nilayam, Sri Sathya Sai District, Andhra Pradesh, India – 515134. +1
Attributing Preprocessing Invariance in Spectral Foundation Models
Aug 14, 2026Dongjun Wei, Hongyi WuEquivariant Learning Raman
ESCP Business School, Paris · OpluxCare Tech Group Ltd. · The University of Hong Kong, Hong Kong
RamanPFN: learning from Raman spectral structure with a tabular foundation model
Aug 3, 2026Xingyu Pan, Huan Wang, Jinjia Guo +3Raman Spectral
Beihang University · Cleer Science
Learning to Resolve Neutron Resonances with Fully Convolutional Neural Networks
Jul 27, 2026Nataly R. Panczyk, Athanasios Stamatopoulos, Josef Svoboda +1Nuclear Data Raman
Dept. of Nuclear Engineering and Radiological Sciences University of Michigan, Ann Arbor, MI 48109 · Physics Division, Los Alamos National Laboratory Los Alamos, NM 87545 · Dept. of Computer Science and Engineering University of Michigan, Ann Arbor, MI 48109
Generative Augmentation of Raman Spectra for Glioma Classification
Jul 11, 2026Andrei Iuşan, Iulian Vasile, Daria Voiculescu +4Raman Glioma
National Institute of Research and Development for Biological Sciences, Romania · Department of Mathematics and Statistics, University of Turku, Finland · Research Institute for Artificial Intelligence “Mihai Dragănescu”, Romanian Academy +2
The Ramanujan Challenge For AI
Jun 27, 2026Michael Shalyt, Rotem Kalisch, Carsten Schneider +7Artificial Intelligence Evaluation Challenges
1Ramanujan Machine Group, Technion, Haifa, Israel. · 2Research Institute for Symbolic Computation, Johannes Kepler Universität Linz, Linz, Austria. · Department of Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium. +1
Transformer-Based Classification of Bacterial Raman Spectra with LOOCV
Jun 25, 2026Jamile Mohammad Jafari, Thomas BocklitzRaman Transformer Architectures
Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743, Jena, Germany
Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting
Jun 25, 2026Johnny Peng, Thanh Tung Khuat, Ellen Otte +2Raman Neural Ordinary Differential Equations
Complex Adaptive Systems Laboratory, The Data Science Institute, University of Technology Sydney, NSW 2007, Australia · CSL Innovation, Melbourne, VIC 3000, Australia
Ramanujan Graph Rewiring with Non Negative Resistance Curvature
Jun 19, 2026Hugo Attali, Rachid El JouhriInhomogeneous Random Graphs Graph Neural Networks
Université Sorbonne Paris Nord, CNRS, LIPN, France
Machine Learning for Biomedical Raman Spectroscopy: From Spectral Acquisition to Clinical Translation
Jun 12, 2026Bogdan Oancea, Ana Maria Seciu-Grama, Nicoleta Siminea +10Raman Biomarker
National Institute of Research and Development for Biological Sciences, Romania · University of Bucharest, Romania · University of Turku, Finland +1
A Practical Noise2Noise Denoising Pipeline for High-Throughput Raman Spectroscopy
May 18, 2026David Martin-Calle, Cesar Alvarez Llamas, Vincent Motto- Ros +3Raman Iterative Denoising Methods
ILM,UCBL,CNRS · Universit´e Claude Bernard Lyon 1, CNRS, Institut Lumi`ere Mati`ere, F-69622 Villeurbanne, France · ILM,UCBL,CNRS,IUF +1
Machine Learning-Driven Multimodal Spectroscopic Liquid Biopsy for Early Multicancer Detection
May 13, 2026Alejandro Leonardo García Navarro, Javier Cachón Ortiz, Javier González Colsa +2Cancer Detection Raman
Signal Processing Group Gregorio Marañón Health Research Institute Madrid, Spain · Amber Health Solutions Madrid, Spain
Polarizable atomic multipoles for learning long-range electrostatics
May 7, 2026Yoonjae Park, Dongjin Kim, Daniel S. King +5Interatomic Potentials Raman
Department of Chemistry, UC Berkeley, California 94720, United States · Bakar Institute of Digital Materials for the Planet, UC Berkeley, California 94720, United States · Lawrence Livermore National Laboratory, Livermore, CA, USA +1
RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy
May 3, 2026Mario Koddenbrock, Christoph Lange, Robin Legner +6Raman Large-Scale Benchmark
1HTW Berlin · 2TU Berlin · 3KWS SAAT, Einbeck +5
A Brain-Inspired Deep Separation Network for Single Channel Raman Spectra Unmixing
Apr 24, 2026Gaoruishu Long, Jinchao Liu, Bo Liu +2Raman
College of Artificial Intelligence, Nankai University, Tianjin, China · Guangdong Laboratory of Chemistry and Fine Chemical Industry, Guangdong, China · Smekal Tech (Shantou) Ltd. +1

Sep 16, 2026, cs.LGJ/K move · Enter open · S save

Sharpness-Aware Minimization (SAM) Improves Classification Accuracy of Bacterial Raman Spectral Data Enabling Portable Diagnostics

Kaitlin Zareno, Jarett Dewbury, Siamak K. Sorooshyari, Hossein Mobahi+1

Department of Mechanical Engineering MASSachusetts Institute of Technology Cambridge, MA 02139, USA · Department of Statistics Stanford University Palo Alto, CA 94305, USA · Google Research Mountain View, CA 94043, USA

Raman Antimicrobial Peptide Sharpness-Aware Minimization

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Antimicrobial resistance is expected to claim 10 million lives per year by 2050, and resource-limited regions are most affected. Raman spectroscopy is a novel pathogen diagnostic approach promising rapid and portable antibiotic resistance testing within a few hours, compared to days when using gold standard methods. However, current algorithms for Raman spectra analysis 1) are unable to generalize well on limited datasets across diverse patient populations and 2) require increased complexity due to the necessity of non-trivial pre-processing steps, such as feature extraction, which are essential to mitigate the low-quality nature of Raman spectral data. In this work, we address these limitations using Sharpness-Aware Minimization (SAM) to enhance model generalization across a diverse array of hyperparameters in clinical bacterial isolate classification tasks. We demonstrate that SAM achieves accuracy improvements of up to 10.5% on a single split, and an increase in average accuracy of 2.7% across all splits in spectral classification tasks over the traditional optimizer, Adam. These results display the capability of SAM to advance the clinical application of AI-powered Raman spectroscopy tools.

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