Course Schedule

Venue: Maitreyee Auditorium, Vikramshila


28 Feb, Sat

1 Mar, Sun

2 Mar, Mon

3 Mar, Tue

4 Mar, Wed

9:00 am - 10:30 am

Introduction

ML2

CN3

ML5

CN6

11:00 am - 12:30 pm

ML1

CN2

ML4

CN5

ML7

2:00 pm - 3:30 pm

CN1

ML3

CN4

ML6

CN7



List of Speakers

ML1

Anirban Mukherjee

EE, IITKGP

Machine Learning and Application to Industrial Machine Vision Systems

ML2

Debdoot Sheet

EE, IITKGP

Decision Trees and Random Forests

ML3

Sourangshu Bhattacharya

CSE IITKGP

Distributed Machine Learning (ADMM methods)

ML4

Sudeshna Sarkar

CSE, IITKGP

Deep Learning

ML5

Pawan Goyal

CSE, IITKGP

Supervised random walks

ML6

Priyadip Ray

GSSST, IITKGP

Topic models and Bayesian non-parametrics

ML7

Dinesh Garg

IBM Research

Distributed Machine Learning (Coordinate Descent Methods)

CN1

Bibhas Adhikari

Maths, IITKGP

Fundamentals of Complex Network

CN2

Jean-Loup Guillaume

University of La Rochelle, France

From partitioning to overlapping and evolving communities – an overview

CN3

Tyll Krueger

Wroclaw University of Technology, Dolnoslaskie, Poland)

Epidemics on complex networks - I

CN4

Joydeep Chandra

IIT Patna

Percolation Theory and Resilience analysis of complex networks

CN5

Tyll Krueger

Wroclaw University of Technology, Dolnoslaskie, Poland)

Epidemics on Complex Networks - II + Opinion Dynamics

CN6

Matteo Marsili

The Abdus Salam International Centre for Theoretical Physics, Italy

Dynamics and inference of complex networks

CN7

Ritwik Layek

IIT Kharagpur

Gene Regulatory Networks Inference and Intervention