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From the 1 of 30 linked papers with an AI index.

collaborators

30 papers

cs.LG2026

Path-dependent Discrete Amortized Inference

Tiago da Silva, Esmeralda S. Whitammer, Salem Lahlou

We consider the problem of sampling compositional and discrete objects from a given unnormalized posterior distribution. Notably, recent studies have shown that this problem can be…

cs.IR2026

Score-Only Distillation for Compact Dense Retrieval

Kirill Dubovikov, Martin Takac, Salem Lahlou

The paper proposes a method to compress large dense retrieval models into much smaller ones by distilling only the teacher's score vectors, using a row‑centered score‑vector object…

cs.LG2026

Entropy-Gated Latent Recursion

Soham Bhattacharjee, Dushyant Singh Chauhan, Salem Lahlou +2

Inference-time scaling has become the dominant lever for improving language-model reasoning, but existing methods derive rollout diversity from a single source: stochastic token-le…

cs.LG2026

Byzantine Cheap Talk: Adversarial Resilience and Topology Effects in LLM Coordination Games

Aya El Mir, Martin Takáč, Salem Lahlou

Multi-agent LLM systems increasingly rely on communication protocols for coordination, yet their robustness under adversarial and structural constraints remains poorly understood.…

cs.LG2026

Zero-Shot Off-Policy Learning

Arip Asadulaev, Maksim Bobrin, Salem Lahlou +3

Off-policy learning methods seek to derive an optimal policy directly from a fixed dataset of prior interactions. This objective presents significant challenges, primarily due to t…

cs.LG2026

Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors

Badr Moufad, Albina Ilina, Hai Victor Habi +4

Commercial Microwave Links (CMLs) offer dense spatial coverage for rainfall sensing but produce path-integrated measurements that make accurate ground-level reconstruction challeng…