Smells

Momentum

5 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 23

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  1. SmellDiffusion: Diffusion-Based Quadruped Navigation with Olfactory Scene Graphs

    Sep 17, 2026Faith Ogunwoye, Iana Zhura, Hajira Amjad +5Diffusion PlanningSmells

  2. Decoding Mixture Perception through Computational Modeling of Component Interactions

    Sep 14, 2026Fei Wang, Xiaoya Xie, Junfei Liu +6SmellsPerception

  3. Geometric organization of olfactory descriptor data in the Poincaré disk

    Sep 9, 2026Aniss Aiman Medbouhi, Farzaneh Taleb, Giovanni Luca Marchetti +1SmellsHyperbolic Space

  4. Beyond Predictive Accuracy: A Reliability-Aware Audit of Molecular Representations for Human Olfaction

    Jul 25, 2026Kai Lun Huang, Wei Chieh SunMolecular Representation LearningSmells

  5. Multimodal Wearable-Based Olfactory-Induced Emotion Recognition in Arousal-Valence Dimensions

    Jul 24, 2026Chen-Yang Xu, Lan Zhang, Fei-Yi Fan +2SmellsValence-Arousal Estimation

  6. Physics Closure Matters for Machine Olfaction: A Maxwell-Stefan Graph Solver for Identifiable Dynamic Gas Unmixing

    Jul 20, 2026Yue Shi, Liangxiu Han, Xin Zhang +1SmellsDeep Unfolding Networks

  7. COLIP-2: Olfaction-Vision-Language Embeddings

    Jul 20, 2026Kordel Kade FranceSmellsMultimodal Dataset

  8. Merging Reaction to Cognition: A Hybrid Cognitive Strategy for Odour Source Localisation in Natural Environments

    Jul 15, 2026Hugo Magalhães, Rui Baptista, Lino MarquesSmellsCollaborative Sensing

  9. What Images Cannot Say: Language-Guided Olfactory Representation Learning

    Jul 7, 2026Eleftherios Tsonis, Xi Wang, Vicky KalogeitonSmellsMultimodal Representations

  10. Are Time-Series Foundation Models Ready for E-Nose Data? An Empirical Assessment of Their Embeddings

    Jun 26, 2026Taeyeong Choi, Mohammed KamruzzamanTime Series Foundation ModelsTimestep Embeddings

  11. See & Sniff: Learning Visuo-Olfactory Representations

    Jun 25, 2026Seongyu Kim, Seungwoo Lee, Hyeonggon Ryu +2SmellsCross-Modal

  12. SCENT: Aligning Mass Spectra with Molecular Structure for Olfactory Perception

    May 26, 2026Ziqi Zhang, Eunyeong Jin, Miguel Vasco +6Tandem Mass SpectraSmells

  13. Grow-Prune-Freeze Networks: Adaptive & Continual Learning Technique for Olfactory Navigation

    May 24, 2026Kordel K. France, Ovidiu DaescuReplay-Based Continual LearningParameter-Efficient Adaptation

  14. Emergence of a Flow-Assisted Casting Strategy for Olfactory Navigation via Memory-Augmented Reinforcement Learning

    May 16, 2026Changxu Zhao, Dongxiao Zhao, Xin Bian +1SmellsQueryable Sector Flow Fields

  15. Clock-state olfactory search in turbulent flows using Q-learning: The geometry of plume recovery

    May 15, 2026Marco Rando, Robin A. Heinonen, Yujia Qi +1Q-LearningSmells

  16. SmellBench: Evaluating LLM Agents on Architectural Code Smell Repair

    May 7, 2026Ion George Dinu, Marian Cristian Mihăescu, Traian RebedeaCode QualityCodebases

  17. AI-Generated Smells: An Analysis of Code and Architecture in LLM and Agent-Driven Development

    May 4, 2026Yuecai Zhu, Nikolaos Tsantalis, Peter C. RigbyCode GenerationAi-Native

  18. Investigating The Smells of LLM Generated Code

    Oct 3, 2025Debalina Ghosh Paul, Hong Zhu, Ian BayleyCode GenerationCode Quality

  19. Scensory: Real-Time Robotic Olfactory Perception for Joint Identification and Source Localization

    Sep 11, 2025Yanbaihui Liu, Erica Babusci, Claudia K. Gunsch +1SmellsRobotic Perception