12 citations · 15 across the 7 of their papers we have counts for
7 papers
The Agent Capability Problem: Predicting Solvability Through Information-Theoretic Bounds
Shahar Lutati
When should an autonomous agent commit resources to a task? We introduce the Agent Capability Problem (ACP), a framework for predicting whether an agent can solve a problem under r…
Toward Optimal ANC: Establishing Mutual Information Lower Bound
François Derrida, Shahar Lutati, Eliya Nachmani
Active Noise Cancellation (ANC) algorithms aim to suppress unwanted acoustic disturbances by generating anti-noise signals that destructively interfere with the original noise in r…
Focus Your Attention (with Adaptive IIR Filters)
Shahar Lutati, Itamar Zimerman, Lior Wolf
We present a new layer in which dynamic (i.e.,input-dependent) Infinite Impulse Response (IIR) filters of order two are used to process the input sequence prior to applying convent…
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation
Shahar Lutati, Eliya Nachmani, Lior Wolf
The problem of speech separation, also known as the cocktail party problem, refers to the task of isolating a single speech signal from a mixture of speech signals. Previous work o…
OCD: Learning to Overfit with Conditional Diffusion Models
Shahar Lutati, Lior Wolf
We present a dynamic model in which the weights are conditioned on an input sample x and are learned to match those that would be obtained by finetuning a base model on x and its l…
SepIt: Approaching a Single Channel Speech Separation Bound
Shahar Lutati, Eliya Nachmani, Lior Wolf
We present an upper bound for the Single Channel Speech Separation task, which is based on an assumption regarding the nature of short segments of speech. Using the bound, we are a…
HyperHyperNetworks for the Design of Antenna Arrays
Shahar Lutati, Lior Wolf
We present deep learning methods for the design of arrays and single instances of small antennas. Each design instance is conditioned on a target radiation pattern and is required…