Salem Lahlou

Assistant Professor of Machine Learning

Salem Lahlou | Assistant Professor of Machine Learning

News

  • April 2026 — Awarded an MBZUAI research grant (500,000 AED, PI) for advancing GFlowNet research - Co-PI: Nils Lukas.
  • April 2026 — Accepted invitation to serve as Program Committee Co-Chair for the Frontier AI Systems Workshop (FAISys), Xiamen, China, December 2026.
  • April 2026 — Papers accepted at ACL 2026: FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning, SAHM: Arabic Financial Instruction-Tuning Dataset and Models.
  • April 2026 — Paper accepted at Findings of ACL 2026: Temporal Contrastive Decoding: A Training-Free Method for Large Audio-Language Models.
  • April 2026 — Paper accepted at NETYS 2026: Byzantine Cheap Talk: Adversarial Resilience and Topology Effects in LLM Coordination Games.
  • March 2026 — Invited Area Chair for NeurIPS 2026.
  • March 2026 — Paper accepted at AI&PDE Workshop at ICLR 2026: HyperKKL: Enabling Non-Autonomous State Estimation through Dynamic Weight Conditioning.
  • March 2026 — Paper accepted at ICLR 2026 DeLTa Workshop (accepted); under review at ICML 2026: Avoid What You Know: Divergent Trajectory Balance for GFlowNets.
  • February 2026 — Organized the MBZUAI ML Winter School 2026.
  • January 2026 — Invited talks at the MenaML Winter School 2026 (KAUST) and the AI for Science Symposium (HBKU, Doha).
  • January 2026 — Paper accepted at EACL 2026 (Oral): Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches.
  • January 2026 — Paper accepted at Findings of EACL 2026: SD-E2: Semantic Exploration for Reasoning Under Token Budgets.
  • December 2025 — Received the Best Presentation Award at ICoIAS 2025 and the Top Reviewer Award at NeurIPS 2025.
  • December 2025 — Paper accepted at AAAI 2026: Loss-guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets.
  • November 2025 — Invited talk at HSE University's HDI Lab (online).
  • October 2025 — Co-organized the "Bayesianism in the Age of Modern AI" workshop at MBZUAI.
  • October 2025 — Paper accepted at JMLR 2026 (+ NeurIPS 2025 Workshop on Frontiers in Probabilistic Inference): TorchGFN: A PyTorch GFlowNet Library.
  • October 2025 — Paper accepted at NeurIPS 2025 Machine Learning in Structural Biology Workshop; under review at UAI 2026: Curriculum-Augmented GFlowNets for mRNA Sequence Generation.
  • September 2025 — Invited talk at Sorbonne University Abu Dhabi.
  • September 2025 — Invited Area Chair for ICML 2026.
  • September 2025 — Paper accepted at NeurIPS 2025: SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem.
  • June 2025 — Invited Area Chair for ICLR 2026.
  • May 2025 — Tutorial "Reinforcement Learning through a probabilistic lens" (slides) at the METIS Spring School.
  • May 2025 — Co-organized the International Symposium on Trustworthy Foundation Models at MBZUAI; co-Program Chair at NETYS 2025 (Rabat).
  • April 2025 — Paper accepted at UAI 2025 (+ oral at ICLR 2025 Workshop ICBINB): On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis.
  • February 2025 — Co-PI on the EnergyAI flagship research project (2M AED/year, 18 months) and on the Etihad flagship research project (400,000 USD, 12 months).
  • February 2025 — Talks at the MBZUAI–Berkeley Joint Workshop and the MBZUAI Paris Workshop 2025.
  • February 2025 — Paper accepted at ICLR 2025 Workshop on Bidirectional Human-AI Alignment (to appear in PMLR): Mitigating Societal Cognitive Overload in the Age of AI: Challenges and Directions.
  • January 2025 — Paper accepted at NAACL 2025: PORT: Preference Optimization on Reasoning Traces.
  • December 2024 — Keynote at the MoroccoAI 2024 conference.
  • November 2024 — Attended the CLIMB and Domain Adaptation workshops at the Simons Institute, UC Berkeley.
  • September 2024 — Joined MBZUAI as Assistant Professor in the Machine Learning department.