2 citations · 4 across the 7 of their papers we have counts for
8 papers
Learning Branching Policies for MILPs with Proximal Policy Optimization
Abdelouahed Ben Mhamed, Assia Kamal-Idrissi, Amal El Fallah Seghrouchni
Branch-and-Bound (B\&B) is the dominant exact solution method for Mixed Integer Linear Programs (MILP), yet its exponential time complexity poses significant challenges for large-s…
VRWKV-Editor: Reducing quadratic complexity in transformer-based video editing
Abdelilah Aitrouga, Youssef Hmamouche, Amal El Fallah Seghrouchni
In light of recent progress in video editing, deep learning models focusing on both spatial and temporal dependencies have emerged as the primary method. However, these models suff…
Strategic Deflection: Defending LLMs from Logit Manipulation
Yassine Rachidy, Jihad Rbaiti, Youssef Hmamouche +2
With the growing adoption of Large Language Models (LLMs) in critical areas, ensuring their security against jailbreaking attacks is paramount. While traditional defenses primarily…
Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability
Anass Grini, Oumaima Taheri, Btissam El Khamlichi +1
While machine learning has significantly advanced Network Intrusion Detection Systems (NIDS), particularly within IoT environments where devices generate large volumes of data and…
HPAC-IDS: A Hierarchical Packet Attention Convolution for Intrusion Detection System
Anass Grini, Btissam El Khamlichi, Abdellatif El Afia +1
This research introduces a robust detection system against malicious network traffic, leveraging hierarchical structures and self-attention mechanisms. The proposed system includes…
A multimodal LLM for the non-invasive decoding of spoken text from brain recordings
Youssef Hmamouche, Ismail Chihab, Lahoucine Kdouri +1
Brain-related research topics in artificial intelligence have recently gained popularity, particularly due to the expansion of what multimodal architectures can do from computer vi…
miditok: A Python package for MIDI file tokenization
Nathan Fradet, Jean-Pierre Briot, Fabien Chhel +2
Recent progress in natural language processing has been adapted to the symbolic music modality. Language models, such as Transformers, have been used with symbolic music for a vari…
Byte Pair Encoding for Symbolic Music
Nathan Fradet, Nicolas Gutowski, Fabien Chhel +1
When used with deep learning, the symbolic music modality is often coupled with language model architectures. To do so, the music needs to be tokenized, i.e. converted into a seque…