b'Arash Mehrjou'

research

∙ 06/15/2023

Multi-omics Prediction from High-content Cellular Imaging with Deep Learning

High-content cellular imaging, transcriptomics, and proteomics data prov...

0 Rahil Mehrizi, et al. ∙

research

∙ 11/07/2022

FED-CD: Federated Causal Discovery from Interventional and Observational Data

Causal discovery, the inference of causal relations from data, is a core...

0 Amin Abyaneh, et al. ∙

research

∙ 10/31/2022

CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data

Mapping biological mechanisms in cellular systems is a fundamental step ...

0 Mathieu Chevalley, et al. ∙

research

∙ 10/25/2022

From Points to Functions: Infinite-dimensional Representations in Diffusion Models

Diffusion-based generative models learn to iteratively transfer unstruct...

0 Sarthak Mittal, et al. ∙

research

∙ 06/15/2022

Diffusion Models for Video Prediction and Infilling

To predict and anticipate future outcomes or reason about missing inform...

0 Tobias Höppe, et al. ∙

research

∙ 04/20/2022

Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database

Federated learning (FL) has been proposed as a method to train a model o...

0 Arash Mehrjou, et al. ∙

research

∙ 01/15/2022

Physical Derivatives: Computing policy gradients by physical forward-propagation

Model-free and model-based reinforcement learning are two ends of a spec...

5 Arash Mehrjou, et al. ∙

research

∙ 10/29/2021

GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL

Out-of-distribution (OOD) detection is a well-studied topic in supervise...

0 Sumedh A. Sontakke, et al. ∙

research

∙ 10/22/2021

GeneDisco: A Benchmark for Experimental Design in Drug Discovery

In vitro cellular experimentation with genetic interventions, using for ...

19 Arash Mehrjou, et al. ∙

research

∙ 07/08/2021

Federated Learning as a Mean-Field Game

We establish a connection between federated learning, a concept from mac...

0 Arash Mehrjou, et al. ∙

research

∙ 05/29/2021

Representation Learning in Continuous-Time Score-Based Generative Models

Score-based methods represented as stochastic differential equations on ...

0 Korbinian Abstreiter, et al. ∙

research

∙ 03/24/2021

Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases

Simulating the spread of infectious diseases in human communities is cri...

0 Arash Mehrjou, et al. ∙

research

∙ 10/07/2020

Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning

Humans show an innate ability to learn the regularities of the world thr...

45 Sumedh A. Sontakke, et al. ∙

research

∙ 08/31/2020

Real-time Prediction of COVID-19 related Mortality using Electronic Health Records

Coronavirus Disease 2019 (COVID-19) is an emerging respiratory disease c...

0 Patrick Schwab, et al. ∙

research

∙ 08/23/2020

Learning Dynamical Systems using Local Stability Priors

A coupled computational approach to simultaneously learn a vector field ...

36 Arash Mehrjou, et al. ∙

research

∙ 06/17/2020

Artificial Buildings: Safety, Complexity and a Quantifiable Measure of Beauty

A place to live is one of the most crucial necessities for all living or...

0 Arash Mehrjou, et al. ∙

research

∙ 06/06/2020

Automatic Policy Synthesis to Improve the Safety of Nonlinear Dynamical Systems

Learning controllers merely based on a performance metric has been prove...

19 Arash Mehrjou, et al. ∙

research

∙ 10/29/2019

Kernel-Guided Training of Implicit Generative Models with Stability Guarantees

Modern implicit generative models such as generative adversarial network...

16 Arash Mehrjou, et al. ∙

research

∙ 10/27/2019

Dual IV: A Single Stage Instrumental Variable Regression

We present a novel single-stage procedure for instrumental variable (IV)...

0 Krikamol Muandet, et al. ∙

research

∙ 05/16/2019

The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA

We consider the problem of recovering a common latent source with indepe...

9 Luigi Gresele, et al. ∙

research

∙ 01/26/2019

Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces

Modern implicit generative models such as generative adversarial network...

20 Arash Mehrjou, et al. ∙

research

∙ 11/14/2018

Deep Nonlinear Non-Gaussian Filtering for Dynamical Systems

Filtering is a general name for inferring the states of a dynamical syst...

8 Arash Mehrjou, et al. ∙

research

∙ 05/27/2018

A Local Information Criterion for Dynamical Systems

Encoding a sequence of observations is an essential task with many appli...

0 Arash Mehrjou, et al. ∙

research

∙ 05/23/2018

Distribution Aware Active Learning

Discriminative learning machines often need a large set of labeled sampl...

0 Arash Mehrjou, et al. ∙

research

∙ 05/21/2018

Deep Energy Estimator Networks

Density estimation is a fundamental problem in statistical learning. Thi...

0 Saeed Saremi, et al. ∙

research

∙ 03/13/2018

Analysis of Nonautonomous Adversarial Systems

Generative adversarial networks are used to generate images but still th...

0 Arash Mehrjou, et al. ∙

research

∙ 11/08/2017

Fidelity-Weighted Learning

Training deep neural networks requires many training samples, but in pra...

0 Mostafa Dehghani, et al. ∙

research

∙ 08/17/2017

Towards life cycle identification of malaria parasites using machine learning and Riemannian geometry

Malaria is a serious infectious disease that is responsible for over hal...

0 Arash Mehrjou, et al. ∙

research

∙ 05/21/2017

Annealed Generative Adversarial Networks

We introduce a novel framework for adversarial training where the target...

0 Arash Mehrjou, et al. ∙

Arash Mehrjou

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