Past talks:

Welcome to the Machine Learning group at IIT Palakkad. We discuss concepts, techniques and recent advancements in Machine Learning and Artificial Intelligence.

2024

Date Title JOURNAL/CONFERENCE Speaker Speaker Info Venue
Feb 12,
2024
Fully Attentional Networks with Self-emerging Token Labeling
ICCV 2023 [Reference]
Thomas John Research Scholar Samgatha 307
Feb 19,
2024
Coordinate attention for efficient mobile network design
CVPR 2021 [Reference]
Siddhant Shatapathy M.Tech Data Science Samgatha 307
Feb 26,
2024
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
VLDB 2024 [Reference]
Arghyadeep Ghosh M.Tech Data Science Samgatha 307
March 4,
2024
BioNet: A Biologically-Inspired Network for Face Recognition
CVPR 2023 [Reference]
Sam Narayana Subudhi M.Tech Data Science Samgatha 307
March 18,
2024
A talk about various convolutions in recent times
-- Dr. Mrinal Kanti Das Asst. Professor Samgatha 307
March 25,
2024
FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation
CVPR 2024 [Reference]
Souvik Mallick M.Tech Data Science Samgatha 307
April 8,
2024
Describing Differences in Image Sets with Natural Language
CVPR 2024 [Reference]
Chandan Kumar M.Tech Data Science Samgatha 307
April 15,
2024
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
NIPS 2023 [Reference]
Nitesh Singh M.Tech Data Science Samgatha 307
April 22,
2024
SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations
NIPS 2023 [Reference]
Dr. Sahely Bhadra Asst. Professor Samgatha 307
July 8,
2024
Detecting Multivariate Time Series Anomalies with Zero Known Label
AAAI 2023 [Reference]
Vinitha M Rajan Research Scholar Meeting room 1 in D03
(Dr. A. P. J. Abdul Kalam Block)
July 15,
2024
Glow: Generative Flow with Invertible 1×1 Convolutions
AAAI 2018 [Reference]
Sivani E M.Tech Data Science Meeting room 1
(Dr. A.P.J. Abdul Kalam Block)
July 22,
2024
Diffusion model
Presentation on Diffusion Models
Dr. Mrinal Kanti Das Asst. Professor Meeting room 1
(Dr. A.P.J. Abdul Kalam Block)
July 29,
2024
Scalable diffusion models with transformers
ICCV 23 [Reference]
Thomas John Research Scholar Meeting room 1
(Dr. A.P.J. Abdul Kalam Block)
Aug 5,
2024
Directional diffusion models for graph representation learning
NeurIPS 2024 [Reference]
Ankit S Research Scholar Meeting room 1
(Dr. A.P.J. Abdul Kalam Block)
Aug 12,
2024
Interpretable Diffusion Via Information Decomposition
ICLR 2024 [Reference]
Vishnu B Raj Research Scholar Meeting room 1
(Dr. A.P.J. Abdul Kalam Block)
Aug 19,
2024
Training Normalizing Flows from Dependent Data
PMLR 2023 [Reference]
Eva Cherian Research Scholar Large Conference Room
(ICSR, Nila)
Sep 30,
2024
Bandit algorithms (Median Elimination, Thomson sampling)
Reinforcement Learning Lecture Series - 1 [Reference]
Ankit S Research Scholar Large Conference Room
(ICSR, Nila)
Oct 21,
2024
Policy gradient (Policy search, Contextual Bandits)
Reinforcement Learning Lecture Series - 2 [Reference]
Eva Cherian Research Scholar Large Conference Room
(ICSR, Nila)
Nov 11,
2024
Function approximation (Linear parameterization, State aggregation)
Reinforcement Learning Lecture Series - 3 [Reference]
Thomas John Research Scholar Large Conference Room
(ICSR, Nila)
Nov 18,
2024
Basics of Reinforcement Learning : MDP, Bellman_Ford Equation; Q - Learning
Reinforcement Learning Lecture Series - 4 [Reference]
Vinitha M Rajan Research Scholar Large Conference Room
(ICSR, Nila)
Nov 25,
2024
Deep Q - Learning
Reinforcement Learning Lecture Series - 5 [Reference]
Vinitha M Rajan Research Scholar Large Conference Room
(ICSR, Nila)
Dec 02,
2024
REINFORCE and policy gradient with function approximation
Reinforcement Learning Lecture Series - 6 [Reference]
Vishnu B Raj Research Scholar Large Conference Room
(ICSR, Nila)