activity
20172026
most citedUNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks

106 citations · 356 across the 61 of their papers we have counts for

collaborators

66 papers

cs.LG2026

On the SPOT: Enhancing Speculative Decoding for Diffusion Language Models via Commit-Order Prediction

Eliezer Shlomi, Eliron Rahimi, Avi Mendelson +1

Diffusion language models (DLMs) promise parallel text generation, but in practice face an unresolved speed-quality trade-off. Exact decoding fills in only one masked position per…

cs.CV2026

WIRE: Weight Space Implicit Representation Encoding of Frozen Video LLMs

Ameen Ali, Tamim Zoabi, Lior Wolf +1

Video language models represent a video as a long sequence of visual embeddings in a decoder's input. Every visual embedding is processed by every decoder layer during prefill, sto…

cs.CV2026

Have I Seen Enough? Frozen Video-Language Models Encode Evidence Readiness

Dan Ben-Ami, Kobi Cohen, Chaim Baskin

Streaming video-language models must decide not only what to answer, but whether the evidence needed for the current question has arrived. Existing systems learn that decision as a…

cs.CV2026

CXR-Retrieve: Compositional Text-to-Image Retrieval in Chest Radiography

Tomer Erez, Moshe Kimhi, Chaim Baskin +1

Large chest radiography archives are difficult to search because most studies are paired only with free-text reports rather than structured clinical annotations. Vision-language mo…

cs.AI2026

DeeperRadar: End-to-End MIMO Radar Design and Multi-Modal Fusion for Autonomous Vehicle Perception

Eli Goldenshluger, Barak Pinkovich, Chaim Baskin

DeeperRadar is a radar-centric, sensor-stack-conditioned framework that co-designs radar sensing and multi-modal 3D detection for autonomous mobility by learning a sparse acquisiti…

cs.LG2026

Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency

Itay Elam, Eliron Rahimi, Avi Mendelson +1

Pipeline parallelism is essential for training large neural networks, but existing schedules trade off throughput, memory, and optimization consistency. Synchronous pipelines prese…