News

Recent announcements · reverse chronological

2026 Apr 30Rex accepted as a Spotlight at ICML 2026.
2026 Apr 27Presented Rex at the ReALM-GEN workshop at ICLR in Rio de Janeiro, Brazil.
2026 Mar 03Two workshop papers accepted at ICLR 2026: Stochastic Few-step Models and Rex (both at the DeLTa and ReALM-GEN workshops).
2026 Feb 19Updated preprint Rex: A Family of Reversible Exponential (Stochastic) Runge–Kutta Solvers on arXiv.
2026 Jan 24Attended the Wiener Ball der Wissenschaften with the Aithyra team.
2026 Jan 12Moved to Vienna and joined Aithyra as a Postdoctoral Fellow with Alex Tong.
2025 Dec 02Presented Greed is Good at NeurIPS in San Diego, California.
2025 Oct 17Selected as a Top Reviewer at NeurIPS 2025.
2025 Oct 10New preprint Rex: Reversible Solvers for Diffusion Models on arXiv.
2025 Sep 18Greed is Good accepted at NeurIPS 2025.
2025 Jul 29Presented Scalable Malware Detection Framework Using Performance Counters and Gradient Boosting at IEEE ASAP 2025 in Vancouver, Canada.
2025 Jul 19Presented Greed is Good at the EXAIT workshop at ICML 2025 in Vancouver.
2025 Jul 03New preprint LoRA as a Flexible Framework for Securing Large Vision Systems.
2025 Jun 12Updated Greed is Good accepted at the EXAIT workshop at ICML 2025.
2025 May 22Updated preprint of Greed is Good with new numerical experiments.
2025 Apr 28Presented our work at two ICLR workshops: Greed is Good (FPI) and A Reversible Solver for Diffusion SDEs (DeLTa).
2025 Apr 22Recipient of the Best Reviewer award at AISTATS 2025.
2025 Apr 21Successfully defended my Ph.D. thesis: On Guided and Reversible Solvers for Neural Differential Equations (slides).
2025 Mar 06Papers Greed is Good and A Reversible Solver for Diffusion SDEs accepted at ICLR 2025 FPI and DeLTa workshops.
2025 Feb 18Published two new preprints on flow/diffusion models: Greed is Good and A Reversible Solver for Diffusion SDEs.
2025 Jan 15Presented a talk on the continuous adjoint equations for diffusion models at Mila in Montréal, Canada (slides).
2024 Dec 17Presented AdjointDEIS at NeurIPS in the main track and at the AdvML Frontiers workshop in Vancouver, Canada.
2024 Nov 06Talk on Diffusion Morphs at the Transatlantic Dialogue on PAD organized by EAB and iMARS in Washington, D.C. (slides).
2024 Nov 02Chutitep Woralert presented our paper Towards Effective ML Models for Ransomware Detection at HASP 2024.
2024 Sep 25AdjointDEIS: Efficient Gradients for Diffusion Models accepted in the main track at NeurIPS 2024.
2024 Sep 18Presented three papers at IJCB 2024: Greedy-DiM (Spotlight), DiM (journal track, Oral), and The Impact of Print-Scanning in Heterogeneous Morph Evaluation (special session).
2024 Sep 16Towards Effective ML Models for Ransomware Detection via Low-Level Hardware Information accepted at HASP 2024.
2024 Aug 26Our IEEE TBIOM paper Leveraging Diffusion for Strong and High Quality Face Morphing Attacks accepted into the journal track at IJCB 2024.
2024 Aug 15Accepted into the Doctoral Consortium at IJCB 2024.
2024 Aug 12The Impact of Print-and-Scan in Heterogeneous Morph Evaluation Scenarios accepted into the FMADT-2024 special session at IJCB 2024.
2024 Jul 26Attended Differentiable Almost Everything at ICML 2024 in Vienna.
2024 Jul 23Talk on Diffusion Morphs to the Biometrics Security & Privacy Group at Idiap in Martigny, Switzerland (slides).
2024 Jun 25Greedy-DiM accepted into the main track at IJCB 2024.
2024 Jun 24Fast-DiM: Towards Fast Diffusion Morphs accepted in IEEE Security & Privacy.
2024 May 23Preprint of AdjointDEIS on arXiv.
2024 Apr 09Preprints of Greedy-DiM and The Impact of Print-and-Scan in Heterogeneous Morph Evaluation Scenarios on arXiv.
2024 Feb 14Talk on Diffusion Morphs to the Document Security Alliance (slides).
2024 Jan 04Leveraging Diffusion for Strong and High Quality Face Morphing Attacks accepted in IEEE TBIOM.
2023 Oct 14Preprint of Fast-DiM on arXiv.
2023 Apr 19Presented work on Diffusion Morphs at the EAB & CITeR Biometrics Workshop in Martigny, Switzerland.
2023 Jan 10Preprint of DiM on arXiv.
2022 Nov 17Presented work on face morph generation at IFPC 2022.
2022 DecHARD-Lite received Best Paper Nominee at AsianHOST 2022.
2021 Aug 05Presented Leveraging Adversarial Learning for the Detection of Morphing Attacks (Oral) at IJCB 2021.
2020 Oct 28Presented work on adversarial face morphing attack detection at IFPC 2020.