| 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) |