• 
  Benjamin Doerr, Andrew James Kelley. Fourier Analysis Meets Runtime Analysis: Precise Runtimes on Plateaus. Algorithmica, In press, ⟨10.1007/s00453-024-01232-5⟩. ⟨hal-04577220⟩
• 
  Théo Boury, Vladimir Reinharz, Yann Ponty. Automatic exploration of the natural variability of RNA non-canonical geometric patterns with a parameterized sampling technique. Journées Ouvertes en Biologie, Informatique, et Mathématiques 2024 (JOBIM 2024), Jun 2024, Toulouse, France. ⟨hal-04575263⟩
• 
  Marine Picot, Federica Granese, Guillaume Staerman, Marco Romanelli, Francisco Messina, et al.. A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection. Transactions on Machine Learning Research Journal, 2023. ⟨hal-04575113⟩
• David‐henri Garnier, Martin-Pierre Schmidt, Damien Rohmer. PhysOM: Physarum polycephalum Oriented Microstructures. Computer Graphics Forum, 2024, ⟨10.1111/cgf.15075⟩. ⟨hal-04572077v1⟩
• 
  Marianna Girlando, Roman Kuznets, Sonia Marin, Marianela Morales, Lutz Straßburger. A Simple Loopcheck for Intuitionistic K. 2024. ⟨hal-04569308⟩
• 
  Mehrnoosh Sadrzadeh, Lutz Straßburger. Lambek Calculus with Banged Atoms for Parasitic Gaps. 2024. ⟨hal-04569184⟩
• 
  Alexander Demin, Joris van der Hoeven. Factoring sparse polynomials fast. 2023. ⟨hal-04366390v2⟩
• 
  Joris van der Hoeven, Grégoire Lecerf. Sparse polynomial interpolation: faster strategies over finite fields. Applicable Algebra in Engineering, Communication and Computing, 2024, ⟨10.1007/s00200-024-00655-5⟩. ⟨hal-02382117v2⟩
• 
  Yassine Abbahaddou, Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström. Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks. International Conference on Learning Representations (ICLR), May 2024, Vienna, Austria. ⟨hal-04564487⟩
• 
  Pierrick Dartois, Antonin Leroux, Damien Robert, Benjamin Wesolowski. SQISignHD: New Dimensions in Cryptography. 2023. ⟨hal-04056062v2⟩
• 
  Joris van der Hoeven, Fredrik Johansson. Fast multiple precision exp(x) with precomputations. 2024. ⟨hal-04454093v2⟩
• 
  Robin Magnet, Maks Ovsjanikov. Memory-Scalable and Simplified Functional Map Learning. 2024. ⟨hal-04557997⟩
• 
  Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos, Michalis Vazirgiannis. Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers. 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24), Feb 2024, Vancouver, Canada. pp.10757-10765, ⟨10.1609/aaai.v38i10.28948⟩. ⟨hal-04555695⟩
• 
  Ganesh del Grosso Guzman. Leakage of Sensitive Data from Deep Neural Networks. Statistics [math.ST]. Institut Polytechnique de Paris, 2023. English. ⟨NNT : 2023IPPAX159⟩. ⟨tel-04555564⟩
• 
  Maria Luiza Costa Vianna. A Geometrical Approach to Estimate the Coverage Measure of the Area Explored by a Robot. Robotics [cs.RO]. Institut Polytechnique de Paris, 2023. English. ⟨NNT : 2023IPPAX115⟩. ⟨tel-04551631⟩
• 
  Thomas Wimmer, Peter Wonka, Maks Ovsjanikov. Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2024, Seattle, WA, United States. ⟨hal-04550189⟩
• 
  Eric Goubault, Sylvie Putot. A Zonotopic Dempster-Shafer Approach to the Quantitative Verification of Neural Networks. 2024. ⟨hal-04546350v2⟩
• 
  Marianela Morales Elena. Unusual proof systems for modal logics with applications to decision problems. Logic in Computer Science [cs.LO]. Institut Polytechnique de Paris, 2023. English. ⟨NNT : 2023IPPAX129⟩. ⟨tel-04546959⟩
• 
  Carlos Pinzón Henao. Exploring fairness and privacy in machine learning. Artificial Intelligence [cs.AI]. Institut Polytechnique de Paris, 2023. English. ⟨NNT : 2023IPPAX126⟩. ⟨tel-04546889⟩
• 
  Georg Daniel Förster, Jérôme Idier, Leo Liberti, Antonio Mucherino, Jung-Hsin Lin, et al.. Characterization of the conformational space of intrinsically disordered proteins. XIIth International Conference NMR: a tool for biology, May 2022, Paris, France. ⟨hal-04545776⟩

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