Centre for Networked Intelligence, IISc

1:10:20

New trends in high-dynamic range analog-to-digital converters

54:16

Failure diagnosis in networked systems

28:39

Video7 Experiment 4

59:41

Statistics of Successive Successful Transmissions - A Metric for Reliability in Stochastic Geometry

55:10

Decision Referrals in Human-Automation Teams: Impact of task load on team performance

1:02:31

Can kernel machines be a viable alternative to deep neural networks? | Prof. Parthe Pandit | IITB

39:08

Video6 OFDM overview

57:12

Model-Assisted Optimal Control for Split Air Conditioners (ACs) | Prof. Vinayak Naik, BITS Goa

1:10:16

Efficient LLM Inference with HiRE and Tandem Transformers | Dr. Praneeth Netrapalli | Google

20:07

Video5 Experiment 3

23:26

Video4 Experiment 2

58:41

Enabling and Exploiting High-Speed In-Network Computing| Vishal Shrivastav| Purdue University

1:06:41

Distributed Network Tomography: Exact Recovery with Adversarial, Heterogeneous, and Sporadic Data

1:02:41

Data-Driven Next-Generation Wireless Networking: Harnessing AI for Superior Performance and Security

19:17

Video3 Experiment 1

34:46

Video2 Introduction to WLAN Toolbox

1:11:24

Redefining Caching for Generative AI | Dr. Subrata Mitra, Adobe Research

6:50

Video1 Introduction to the course

1:10:35

Group Testing: Something old, Something new, Something borrowed | Prof. Nikhil K | IIT Bombay

1:15:16

Group testing: A survey | Prof. Sidharth Jaggi, University of Bristol

1:08:06

Traffic Peering Games in Internet Exchange Points | Prof. Koushik Kar

1:02:45

Robust and efficient frontier pipelines for complex knowledge intensive tasks in the era of LLMs

58:41

Exploring multi-bounce scattering to increase the field-of-view of mm-wave radar| Dr.Divyanshu

1:01:45

Data-Driven Agriculture to Sustainably Nourish the World| Dr. Ranveer Chandra

58:10

An overview of entropy-regularized optimal transport and Schrödinger bridges | Prof. Soumik Pal

1:00:15

IISc-IBM AI Workshop | 04th Dec 2024 | Post Lunch Session 2 (3:45pm - 4:30 pm)

1:32:01

IISc-IBM AI Workshop | 04th Dec 2024 | Post Lunch Session (2:15pm - 4:30 pm)

1:14:01

IISc-IBM AI Workshop | 04th Dec 2024 | Session 2 (11:20 am - 12:50 pm)

2:06:11

IISc-IBM AI Workshop | 04th Dec 2024 | Session 1 (9:30 am - 11:00 am)

1:16:55

Dynamic networks and stochastic approximation: the fundamental role of mathematics | Prof. Shankar

1:04:30

Efficient Repair of Reed-Solomon Codes and Tamo-Barg Codes | Prof. Lalitha Vadlamani

1:05:50

Design and Analysis of Low Complexity Techniques for IRS-Aided Wireless Communications | Yashvanth L

1:18:50

Need for Speed: Minimizing the impact of Bufferbloat | Prof. Mohit P. Tahiliani | NITK Surathkal

1:01:15

Differentially Private Release of Spatio-Temporal Data Statistics | Dr. V. Arvind Rameshwar | IUDX

1:00:07

Understanding Performance of Internet Video Using Network Measurement Data | Prof. Tarun Mangla

1:02:56

Efficiently Serving Large Language Models | Dr. Ashish Panwar | Microsoft Research India

1:13:45

EdgeRIC Empowering AI-based Real Time Intelligent Control, Optimization & Security in NextG Networks

1:15:31

Risk-Sensitive Bandits: Arm Mixtures Optimality and Regret-Efficient Algorithms | Dr Arpan Mukherjee

1:02:38

Flipped Huber: A new additive noise mechanism for differential privacy | Sheetal Kalyani

37:55

Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search | Abir De

53:11

Schema Generation for Querying a Data Lakehouse | Balaji Ganesan | IBM India Research Lab

45:45

Low Complexity Optimal Policies for Networked Control Systems | Manali Dutta | IISc

55:00

Sample-Efficient Constrained Reinforcement Learning with General Parameterized Policies

50:41

Markov Chain Variance Estimation: A Stochastic Approximation Approach | Dr. Shubhada Agrawal

1:05:56

Codes for (Un)Expected Loads | Prof. Emina Soljanin, Rutgers University

1:05:05

Random Separating Hyperplane Theorem and Learning Polytopes | Prof. Amit Kumar, IIT Delhi

56:27

Online Learning for Hierarchical Inference | Prof. Sharayu Moharir

48:21

Leveraging WiFi for Robust and Resource-Efficient SLAM | Dr. Aditya Arun

7:06

Oral Cancer Screening using AI by Tejashree S

5:44

Bayesian Learning based Rate adaptation with reduced feedback overhead for IEEE WLANs by Sheela CS

5:58

Optimal Pricing in Multi-Agent System by Srinivas Nomula

7:12

Scheduling in heterogeneous systems by Moonmoon Mohanty

9:47

Mean field games on sparse graphs by Janaky Murthy

5:22

Task-oriented Communication by Ankita Koley

59:51

Learning in the Presence of Strategy | Prof. Ganesh Ghalme, IIT Hyderabad

1:14:50

Designing Robust Algorithms for Data Streams that Might be Adversarially Generated | Prof. Amit C.

1:02:50

Average Reward Markov Decision Process | Prof. Vaneet Aggarwal

11:16

Digital Twin Network For Batteries by Hasabnis Kaushik Raghunandan

10:26

Vulnerability Assessment of Substation Using Bayesian Attack Graph by Prashanth S

9:13

Modelling & Vulnerability Assessment of Power Grids by Laxmikant Dwarkanath Pai Angle

10:20

IoT-Enabled Universal Authentication Platform by Kosuru Ganesh Venkata Sai Nadh

7:33

IoT-Enabled Universal Authentication Platform by Kosiga Mani Sharan,

4:38

Oral Cancer Detection by Mohd Azfar

10:51

Analytical Modeling of Colocated Wi-Fi Networks with Short-Term Unfairness by Amit Verma

2:34:40

CNI Summer School - 2024 - Day 5

3:26:20

CNI Summer School - 2024 - Day 4

7:31

Binomial Line Cox Processes – Modeling Streets Across a City

1:01:40

Binomial Line Cox Processes – Modeling Streets Across a City

54:40

Discrimination, A One bit Sampling Perspective

55:11

Towards Optimizing Storage Costs on the Cloud

1:00:15

Guaranteed performance analysis of networks with bandwidth-sharing schedulers

50:51

Need for Sovereign Compute | Prof. Manu Awasthi, Ashoka University

1:03:05

The Capacity of Causal Adversarial Channels | Prof. Sidharth Jaggi, University of Bristol

55:11

Adaptive Multi-armed Bandit Algorithms for Markovian and i.i.d Rewards | Prof. Arghyadip Roy

59:06

Tight Bounds for General Computation in Noisy Broadcast Networks| Dr. Raghuvansh Saxena, TIFR Mumbai

1:09:31

Quickest Fault Detection over Lossy Networks for Industrial Machinery | Dr. Krishna Chaythanya KV

29:00

Amit Gupta(Isovalent) -Cilium Handson- eBPF Day India Workshop

32:59

Amit Gupta(Isovalent) - Cilium Overview- eBPF Day India Workshop

43:24

Santhosh Fernandes (Walmart)- Leaf Overview-eBPF Day India

42:44

Palaniappan Ramanathan (Intel)- eBPF Observability-eBPF Day India Workshop

11:00

Madhan Raj K (Samsung R&D)- eBPF Android-eBPF Day India Workshop

40:19

Rahul Jadhav (Accuknox)- eBPF Security- eBPF Day India Workshop

29:00

Deepak S (Intel)-Calico eBPF-eBPF Day India Workshop

57:46

Dushyant Behl (IBM)- eBPF Networking-eBPF Day India Workshop

1:00:33

Brendan Gregg (Intel)- ebpf keynote-eBPF Day India Workshop

54:26

Large-Scale Study of User Behaviour, Expectations and Engagement with Android Permissions

1:05:25

Streaming Codes for Three-Node Relay Networks With Burst Erasures

1:20:31

Between Promise & Reality: Navigating the Landscape of Indic Language LLMs Amidst Hyperbole and Hope

1:09:11

Provably Robust DPO: Aligning Language Models with Noisy Feedback | Sayak Ray Chowdhury | Microsoft

1:08:59

A decentralised algorithm for minimizing multi-agent congestion cost on a network | N. Hemachandra

57:45

Online Age-of-Information Scheduling | Kumar Saurav | Research Scholar at TIFR Mumbai

42:11

Min LQG games and collective discrete choice problems | Prof. Roland Malhamé

1:08:10

Learning while bidding in Vickrey Auctions with acquisition rate and targeting constraints

1:02:45

Trade-offs between Security and Privacy in Linear Dynamical Systems | Prof. Vaibhav Katewa | IISc

1:06:20

Cracking Software Engineering interview for Fresh Grads

1:17:31

PhD Research: Elements of Excellence | Prof. Ness B. Shroff, Ohio State University

1:09:36

CT Scan for Your Network: Topology Inference from End-to-end Measurements | Prof. Ting He

1:04:45

Towards a Theory of Exploration in Continuous-Time Reinforcement Learning | Prof. Harsha Honnappa