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Computational Complexity of Counting and Sampling (Discrete Mathematics and Its Applications). CRC Press 2019 [CCD19] Hubie Chen, Radu Curticapean, and Holger Dell. The Exponential-Time Complexity of Counting [...] Prerequisites: Basic knowledge in Algorithms Description In this course we give an introduction to counting problems and counting complexity. While often in complexity theory we investigate decision problems [...] Research Departments Algorithms and Complexity Teaching Summer 2023 Techniques for Counting Problems Techniques for Counting Problems Advanced Course, 2+1 Basic Information Lectures: Thursdays, 14:00 to

Departments Algorithms and Complexity Teaching Summer 2023 Teaching - Summer 2023 Techniques for Counting Problems Advanced Course (2+1). Lecturers: Jacob Focke, Philip Wellnitz more Parametrized Algorithms (external) [...] Roohani Sharma, Hans Simon, Shreyas Srinivas more Techniques for Counting Problems Parametrized Algorithms (external) Seminar: Foundations of Machine Learning

assistance, multi-media retrieval, surveillance, etc. In this area, the recognition and detection of objects, activities, and visual categories have seen dramatic progress over the last decade. We will discuss [...] de ) Amin Parchami-Araghi (email: mparcham[at]mpi-inf.mpg.de ) Literature: " Computer Vision: Algorithms and Applications " by Richard Szeliski (in particular chapter on image formation) Mikolajcyk, Schmid: [...] Convolutional Networks, NIPS, 2012 " Pattern recognition and machine learning " by Christopher M. Bishop " Computer vision " by David A. Forsyth and Jean Ponce SS 2024 Explainable Machine Learning (ExML)

Departments D1 Algorithmic Game Theory Approximation Algorithms Fine-Grained Complexity and Algorithm Design Graph Algorithms Optimization Parameterized and Counting Algorithms and Complexity Robust Learning [...] Departments Algorithms and Complexity Research String Algorithms and Data Compression String Algorithms and Data Compression Strings (texts, sequences) appear everywhere in our daily lives, and they constitute [...] Learning String Algorithms and Data Compression

IMPRS, ALGO Algorithmic Game Theory Approximation Algorithms Fine-Grained Complexity and Algorithm Design Graph Algorithms Optimization Parameterized and Counting Algorithms and Complexity Robust Learning [...] Research Departments Algorithms and Complexity Research Graph Algorithms Graph Algorithms Our long-term vision is to develop techniques for designing efficient graph algorithms and use them to understand [...] graph data. We currently focus on algorithms that work across many models of computation, such as dynamic, distributed, streaming, parallel, and quantum algorithms. We aim to achieve two goals simultaneously:

IMPRS, ALGO Algorithmic Game Theory Approximation Algorithms Fine-Grained Complexity and Algorithm Design Graph Algorithms Optimization Parameterized and Counting Algorithms and Complexity Robust Learning [...] Departments Algorithms and Complexity Research Approximation Algorithms Approximation Algorithms Most interesting optimization problems are NP-Hard. For such problems, unless P=NP, exact algorithms cannot be [...] efficient. In the field of approximation algorithms, we take the reverse perspective: efficient algorithms cannot be exact. But if we naturally insist on efficient algorithms, how close can we get to an optimal

graph algorithms, sequential distributed algorithms, and parallel distributed algorithms. I will use the graph coloring problem as a running example, and I will explore settings like this: - Online graph [...] including Vertex Cover, Feedback Vertex Set, and Treewidth Deletion, and provides an interesting forum where ideas from approximation and parameterized algorithms influence each other. In this talk, I will [...] Research Departments Algorithms and Complexity Seminars Virtual Theory Seminar Virtual Theory Seminar Upcoming Talks To be announced Schedule Date Time Speaker Host Title Recordings Sept 20, 2022 13:00

Departments Algorithms and Complexity Teaching Winter 2022/23 Randomized Algorithms and Probabilistic Analysis of Algorithms Randomized Algorithms and Probabilistic Analysis of Algorithms Advanced Course [...] sense to analyze algorithms under probabilistic input models. In this course, we will introduce you to the foundations of randomized algorithms and probabilistic analysis of algorithms. We will cover different [...] lectures will be added after the corresponding lectures.) Randomized Algorithms and Probabilistic Analysis of Algorithms Approximation Algorithms Ideen und Konzepte der Informatik

Approximation Algorithms " by V. Vazirani " The Design of Approximation Algorithms " by David P. Williamson and David B. Shmoys ( pdf ) Randomized Algorithms and Probabilistic Analysis of Algorithms Approximation [...] Research Departments Algorithms and Complexity Teaching Winter 2022/23 Approximation Algorithms Approximation Algorithms Advanced Course (2+2) Basic Information Lectures: Tuesdays, 10:15-11:45, Building [...] Unfortunately, for many optimization problems, no efficient algorithms are known (and under standard complexity theoretic assumptions, no such algorithms are expected to exist). However, feasible solutions are

Invariant to Real-World Domain Shifts}, AUTHOR = {Fan, Qi and Segu, Mattia and Tai, Yu-Wing and Yu, Fisher and Tang, Chi-Keung and Schiele, Bernt and Dai, Dengxin}, LANGUAGE = {eng}, URL = {https://openreview [...] Walking on Temporal Appearance Graphs}, AUTHOR = {Segu, Mattia and Piccinelli, Luigi and Li, Siyuan and Gool, Luc Van and Yu, Fisher and Schiele, B.}, LANGUAGE = {eng}, ISBN = {978-3-031-73241-6}, DOI [...] {Computer Vision -- ECCV 2024}, EDITOR = {Leonardis, Ale{\v s} and Ricci, Elisa and Roth, Stefan and Russakovsky, Olga and Sattler, Torsten and Varel, G{\"u}l}, PAGES = {1--18}, SERIES = {Lecture Notes in